09/09/2014

1. Fennimore, S.A., B. D. Hanson, L. M. Sosnoskie, J. B. Samtani, A. Datta, S. Z. Knezevic, and M. C. Siemens. 2013. Chapter 9: Field Applications of Automated Weed Control: Western Hemisphere. In Automation: The Future of Weed Control in Cropping Systems, 151-169. S.L. Young and F.J. Pierce, eds. Dordrecht: Springer Science+Business Media.

2. Aksenov, A. A., A. Pasamontes, D. J. Peirano, W. Zhao, A.M. Dandekar, O. Fiehn, R. Ehsani and C. Davis. 2014. Detection of Huanglongbing Disease Using Differential Mobility Spectrometry. Analytical Chemistry. 86(5):2481-2488.

3. Arikapudi, R., Durand-Petiteville, A., Vougioukas, S. (2014). Model-based assessment of robotic fruit harvesting cycle times. ASABE Annual Intl. Meeting; Paper Number 1913999, Montreal, Quebec, Canada.

4. Bansal, R., W. S. Lee, and S. Satish. 2013. Green citrus detection using Fast Fourier Transform (FFT) leakage. Precision Agriculture 14(1): 59-70. http://dx.doi.org/10.1007/s11119-012-9292-3.

5. Bao, Y., A. D. Nakarmi, L. Tang. 2014. Develooment of a filed phenotyping robotic system for sorghum biomass yield component traits characterization. ASABE Paper No. 141901199, St. Joseph, MI: ASABE.'

6. Baugher, T.A., P.H. Heinemann, J.S. Schupp, and K.M. Lewis. 2013. Innovations in peach thinning. Compact Fruit. 46(3):23-25.

7. Blossom thinning device for fruit trees. Applied Engineering in Agriculture. 29(2): 155-160.

8. Caplan, S., B. Tilt, G. Hoheisel, T. Baugher. 2014. Specialty crop growers’ perspectives on adopting new technologies. HortTechnology 24: 81-87.

9. Choi, D., W. S. Lee, R. Ehsani, and A. Banerjee. 2013. Detecting and counting citrus fruit on the ground using machine vision. ASABE Paper No. 131591603. St. Joseph, Mich.: ASABE.

10. Du, X., Chen, D., Zhang, Q., Scharf, P.A., Whiting, M.D. (2013). Response of UFO (upright fruiting offshoots) on cherry trees to mechanical harvest by dynamic vibratory excitation. Transactions of the ASABE. 56(2): 345-354.

11. Dvorak, J., Hasani, H. 2014. Testing of Tablet-Based GPS Systems. ASABE Paper No. 141922411. St. Joseph, Mich.: ASABE Engineering.114(3): 344–350.

12. Farangis Khosro, A., Rehal, R., Fathallah, F., Wilken, K., Vougioukas, S. (2014). Sensor-based Stooped Work Monitoring in Robot-aided Strawberry Harvesting. ASABE Annual Intl. Meeting; Paper Number 1913911, Montreal, Quebec, Canada. FL. pp. 263-294.

13. Garcia-Ruiz, F., S. Sankaran, J. M. Maja, W. S. Lee, J. Rasmussen, and R. Ehsani. 2013. Comparison of two aerial imaging platforms for identification of Huanglongbing infected citrus trees. Computers and Electronics in Agriculture 91: 106-115. http://dx.doi.org/10.1016/j.compag.2012.12.002 14. Hanna, H. M., B. L. Steward, and K. A. Rosentrater. 2014. Evaluation of mechanized row cover establishment for cantaloupe and summer squash. ASABE Paper No. 141894433. St. Joseph, Mich.: ASABE.

15. Hardin, J. A., C. L. Jones, P. R. Weckler, N. O. Maness, J. W. Dillwith, and R. D. Madden. 2013. Rapid in situ Quantification of Leaf Cuticular Wax Using FTIR-ATR. Transactions of the ASABE, 56(1): 331-339.

16. Hardin, J. A., P. R. Weckler, and C. L. Jones. 2013. Microwave Backscatter Response of Pecan Tree Canopy Samples for Estimation of Pecan Yield in situ Using Terrestrial Radar. Computers and Electronics in Agriculture. 90 (2013): 54-62.

17. He, L., Arikapudi, R., Khosro Anjom, F., Vougioukas, S. (2014). Worker Position Tracking for Safe Navigation of Autonomous Orchard Vehicles Using Active Ranging. ASABE Annual Intl. Meeting; Paper Number 141913710, Montreal, Quebec, Canada.

18. He, L., Zhang, Q., Charvet, H. (2013). A knot-tying for robotic hop twining. Biosystems Engineering.114(3): 344–350

19. He, L., Zhou, J., Du, X., Chen, D., Zhang, Q., Karkee, M. (2013). Energy efficacy analysis of a mechanical shaker in sweet cherry harvest. Biosystems Engineering, 116(4): 309-315.

20. Jadhav, U., L. R. Khot, R. Ehsani, V. Jagdale, J. K. Schueller. 2014. Volumetric mass flow sensor for citrus mechanical harvesting machines. Computers and Electronics in Agriculture. 101: 93-101.

21. Jiang, Yu and C. Li. A Push-broom based Hyperspectral Imaging System for Cotton Trash Identification. ASABE Paper No: 141898244. Montreal, Quebec Canada. July 13-16, 2014.

22. Karkee, M., Steward, B. Kruckeberg, J. (2013). Agricultural infotronic systems. In: Zhang, Q.,

23. Katti, A. R., W. S. Lee, and C. Yang. 2013. Laser weeding system for elimination of in-row weeds. In Proceedings of the 5th Asian Conference on Precision Agriculture (ACPA), June 25-28, 2013, Jeju, Korea.

24. Khedher Agha, M. K., W. S. Lee, C. Wang, R. W. Mankin, N. Bliznyuk, and R. A. Bucklin. 2013. Determination degrees of insect infestation in triticale seed using NIR spectroscopy. ASABE Paper No. 131592957. St. Joseph, Mich.: ASABE.

25. Khedher Agha, M. K., W. S. Lee, R. A. Bucklin, A. A. Teixeira, and A. Blount. 2013. Equilibrium moisture content equation for triticale seed. ASABE Paper No. 131620333. St. Joseph, Mich.: ASABE.

26. Lee, W. S. 2013. Book review: N. Kondo, M. Monta, and N. Noguchi, Agricultural robots - mechanisms and practice, Corona Publishing Co., Ltd. Tokyo, Japan, 2011, xii + 348 pp., ISBN: 978-4-87698-553-1. Journal of Biosystems Engineering 38(2): i.

27. Li, C., P. Yu, F. Takeda, G. Krewer. 2013. A miniature instrumented sphere to understand impacts created by mechanical blueberry harvesters. HortTechnology. 23(4): 425-429.

28. Li, H., W. S. Lee, and K. Wang. 2013. Airborne hyperspectral imaging based citrus greening disease detection using different dimension reduction methods. ASABE Paper No. 131592802. St. Joseph, Mich.: ASABE.

29. Li, H., W. S. Lee, and K. Wang. 2013. Spectral mixture analysis based citrus greening disease detection using satellite image of Florida. In Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). 25-28 June 2013, Gainesville, Florida, USA.

30. Li, H., W. S. Lee, K. Wang, R. Ehsani, and C. Yang. 2013. ‘Extended spectral angle mapping (ESAM)’ for citrus greening disease detection using airborne hyperspectral imaging. Precision Agriculture. http://dx.doi.org/10.1007/s11119-013-9325-6.

31. Li, J. and L. Tang. 2013. Machine Vision-based Indirect Estimation of the Position and Attitude of Mobile Robots. ASABE Paper No. 131620769, St. Joseph, MI: ASABE.

32. Li, J. and L. Tang. 2013. Real-time Plant Recognition for Robotic Weeding Using a 3D ToF Sensor. ASABE Paper No. 131620787, St. Joseph, MI: ASABE.

33. Li. H, W. S. Lee, K. Wang, R. Ehsani, and C. Yang. 2014. Extended spectral angle mapping (ESAM) for citrus greening disease detection using airborne hyperspectral imaging. Precision Agriculture 15:162-183

34. Liaghat, S. *, Ehsani, R., Mansor, S.B., Shafri, H.Z.M., Meon, S., Azam, S.H.M.N. and Noh, N.M.2014. Early detection of basal stem rot disease (Ganoderma) in oil palms based on hyperspectral reflectance data using pattern recognition algorithms. International Journal of Remote Sensing, 35:10, 3427-3439.

35. Liaghat, S., S. Mansor, R. Ehsani, H.Z.M. Shafri, S. Meon and S. Sankaran. 2014. Mid-infrared spectroscopy for early detection of basal stem rot disease in oil palm. Computers and Electronics in Agriculture 101: 48-54.

36. Mathanker, S. K., P. R. Weckler, N. Wang. 2013. Thz Applications In Food And Agriculture: A Review, Transactions of the ASABE. 56(3): 1213-1226.

37. He, L., Zhou, J., Du, X., Chen, D., Zhang, Q., Karkee, M. (2013). Energy efficacy analysis of a mechanical shaker in sweet cherry harvest. Biosystems Engineering, 116(4): 309-315.

38. Nakarmi, A. D. and L. Tang. 2014. Within-Row spacing sensing of maize plants using 3D computer vision. Biosystems Enngineering PP. 54-64 DOI Information: 10.1016/j.biosystemseng.2014.07.001

39. Pierce, F.J. (eds). Agricultural Automation Fundamentals and Practices, CRC Press, Boca Raton,

40. Pourreza, A., W. S. Lee, E. Raveh, R. Ehsani, and E. Etxeberri. 2014. Citrus greening disease detection using narrow band imaging and polarized illumination. Transactions of the ASABE. 57(1): 259-272.

41. Pourreza, A., W. S. Lee, E. Raveh, Y. K. Hong, and H. J. Kim. 2013. Identification of citrus greening disease using a visible band image analysis. ASABE Paper No. 131591910. St. Joseph, Mich.: ASABE.

42. Saber, M., W. S. Lee, T. F. Burks, G. E. MacDonald, and G. Salvador. 2013.An automated mechanical weed control system for organic row crop production. ASABE Paper No. 131593595. St. Joseph, Mich.: ASABE.

43. Schupp, J., T. Auxt Baugher, P. Heinemann, E. Winzeler, T. Kon and M. Schupp. 2013. Labor efficient apple and peach production. Compact Fruit 46(2):17-19.

44. Siemens, M.C. Robotic weed control. 2014. In Proc. 66th Annual California Weed Science Society 66: 76-80. Salinas, Calif.: California Weed Science Society.

45. Slaughter, D.C., (2014). Standardization and Automation in Official Maturity Grading of Processing Tomato. ASABE Annual Intl. Meeting; Paper Number 1900557, Montreal, Quebec, Canada.

46. Takeda, F., G. Krewer, C. Li, D. MacLean, and J. W. Olmstead. 2013. Techniques for increasing machine-harvest efficiency in southern highbush and rabbiteye blueberries. HortTechnology. 23(4): 430-436.

47. Taufik Ahmad, M., L. Tang, B. Steward. 2013. Chapter 7: Automated Mechanical Weeding. Automation: The Future of Weed Control in Cropping Systems. S. L. Young and F. J. Pierce (eds). Springer. P 125 – 138.

48. Toledo, O. M., B. L. Steward, L. Tang, and J. Gai. 2014. Techno-economic analysis of future precision field robots. ASABE Paper No. 141903313. St. Joseph, Mich.: ASABE.

49. Tu, X. Y. and L. Tang. 2013. Robust Navigation Control of an Autonomous Agricultural Robotic Vehicle. ASABE Paper No. 131620548, St. Joseph, MI: ASABE.

50. Wang, M. (2013). A Hand-Held Mechanical Device for Target Blossom Thinning in Sweet Cherry. Ph.D. Dissertation, Washington State University.

51. Wang, M., Wang, H., Zhang, Q., Lewis, K.M., Scharf, P.A. (2013). A hand-held mechanical blossom thinning device for fruit trees. Applied Engineering in Agriculture. 29(2): 155-160.

52. Wang, N. 2013. Challenges and opportunities of nondestructive sensing technology in food and agricultural applications. The 9th International Workshop on Nondestructive Quality Evaluation of Agricultural, Livestock, and Fishery Products. November 19-22, 2013. Taipei, Taiwan. (Invited)

53. Wang, W. and C. Li. 2014. Size estimation of sweet onions using consumer-grade RGB-depth sensor. Food Engineering. 142: 153–162.

54. Wang, Weilin and C. Li. A multimodal quality inspection system based on 3D, hyperspectral, and X-ray imaging for onions. ASABE Paper No: 141900673. Montreal, Quebec Canada. July 13-16, 2014.

55. Wang, Weilin. A multiple sensor system for quality inspection of onions and investigation of onion optical properties. Ph.D. Dissertation. University of Georgia. December, 2014. Athens, Georgia.

56. Wei-jiunn, J., Lewis, G., Hoachuck, J., Slaughter, D., Wilken, K., Vougioukas, S. (2014). Vibration-reducing Path Tracking Control for a Strawberry Transport Robot. ASABE Annual Intl. Meeting; Paper Number 1914011, Montreal, Quebec, Canada.

57. Xu, Rui, Changying Li, Fumiomi Takeda, and Gerard Krewer. Measuring Impacts of Blueberries during Transportation and Packing. ASABE Paper No: 141898243. Montreal, Quebec Canada. July 13-16, 2014.

58. Yang, C., W. S. Lee, and P. Gader. 2013. Band selection of hyperspectral imagery for the classification of blueberry fruit maturity stages and leaf. ASABE Paper No. 131593276. St. Joseph, Mich.: ASABE.

59. Yang, C., W. S. Lee, P. Gader, and H. Li. 2013. Hyperspectral band selection using Kullback-Leibler divergence for blueberry fruit detection. In Proceedings of the 5th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS). 25-28 June 2013, Gainesville, Florida, USA.

60. Yu, P., C. Li, F. Takeda and G. Krewer. 2014. Visual bruise assessment and analysis of mechanical impact measurement in southern highbush blueberry. Applied Engineering in Agriculture. 30(1): 29-37.

61. Yu, P., C. Li, F. Takeda, G. Krewer, G. Rains, and T. Hamrita. 2014. Evaluation of rotary, slapper, and sway blueberry mechanical harvesters for potential fruit impact points using a miniature instrumented sphere. Comput. Electron. Agr. 101:84–92.

62. Zhang, Q., Pierce, F.J. (2013). Agricultural Automation Fundamentals and Practices. CRC Press, Boca Raton, FL. (397p).

63. Zhang, Q., Shao, Y., Pierce, F.J. (2013). Agricultural infotronic systems. In: Zhang, Q., Pierce, F.J. (eds). Agricultural Automation Fundamentals and Practices, CRC Press, Boca Raton, FL. pp. 41-62.

64. Zhao, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2014. Design, fabrication, and testing of a low-cost apple harvest-assist device. ASABE Paper No. 141839738. American Society of Agricultural and Biological Engineers. 13 pp.

65. Zhou, J., He, L., Zhang, Q., Du, X., Chen, D., Karkee, M. (2013). Evaluation of the Influence of Shaking Frequency and Duration in Mechanical Harvesting of Sweet Cherry. Applied Engineering in Agriculture, 29(5): 607-612.

11/03/2015

Arizona

None to report.

California:

Farangis Khosro, A., Rehal, R., Vougioukas, S. (2015). A Low-Cost, Efficient Strawberry Yield Monitoring System. ASABE Annual Intl. Meeting; Paper Number 152189408, New Orleans, USA.

Georgia:

Chugunov, S. and C. Li. 2015. Monte Carlo simulation of light propagation in healthy and diseased onion bulbs with multiple layers. Computers and Electronics in Agriculture. 117: 91-101. DOI:1016/j.compag.2015.07.015.

Xu, R., F. Takeda, G. Krewer, and C. Li. 2015. Measure of mechanical impacts in commercial blueberry packing lines and potential damage to blueberry fruit. Postharvest Biology and Technology. DOI: 10.1016/j.postharvbio.2015.07.013.

Wang, W. and C. Li. 2015. A multimodal machine vision system for quality inspection of onions. Journal of Food Engineering. DOI: 10.1016/j.jfoodeng.2015.06.027.

Konduru, T., G. Rains, and C. Li*. 2015. Detecting sour skin infected onions using a customized gas sensor array. Journal of Food Engineering. 160: 19-27. DOI: 10.1016/j.jfoodeng.2015.03.025.

Chugunov, S. and C. Li. 2015. Parallel implementation of inverse adding-doubling and Monte Carlo multi-layered programs for high performance computing systems with shared and distributed memory. Computer Physics Communications. DOI: 10.1016/j.cpc.2015.02.029.

Xu, Rui; Li, Changying. 2015. Development of the Second Generation Berry Impact Recording Device (BIRD II). Sensors 15, no. 2: 3688-3705.

Konduru, T., G. Rains, and C. Li. 2015. A customized metal oxide semiconductor-based gas sensor array for onion quality evaluation: system development and characterization. Sensors. 15, 1252-1273.

Hawaii:

Gautz, L. D.; Li, R and Bittenbender, H. C. Preparing Kava: Optimizing kavalactone extraction in water. Proceedings of Kava Science Conference, Jul 25-26, 2015, Chaminade University of Honolulu, 3140 Waialae Ave, Honolulu HI 96816

Iowa:

Darr, M. J., H. Herman, and D. Corbett. 2013. Yield Measurement and Base Cutter Height Control for a Harvester. Patent Application Serial No. 14/527,152. Publication No. US 2015/0124054 A1.

Hanna, H.M., B. L. Carlson, B. L. Steward, and K. A. Rosentrater. 2015. Evaluation of multi-row covers and support structure for cantaloupe and summer squash. ASABE Paper No. 152182687. St. Joseph, Mich.: ASABE.

Gai, J., L. Tang, and B. L. Steward. 2015. Plant recognition through the fusion of 2D and 3D images for robotic weeding. ASABE Paper No. 152181371. St. Joseph, Mich.: ASABE.

Schramm, M. W., H.M. Hanna, M.J. Darr, S.J. Hoff, and B. L. Steward. 2015. Measuring surface wind velocity changes. ASABE Paper No. 152182041. St. Joseph, Mich.: ASABE.

Polk, D.N., K. A. Rosentrater, H. M. Hanna, B. L. Steward. 2015. Factors affecting cucurbit production. ASABE Paper No. 152184825. St. Joseph, Mich.: ASABE.

Steward, B. L., L. Tang, and S. Han. 2015. A design framework for off-road equipment with automation. In Proc. of the 2015 Conference on Autonomous and Robotic Construction of Infrastructure, Ames, Iowa, June 2-3, pp. 180-196.

Han, S. F., B. L. Steward, and L. Tang. 2015. Intelligent Agricultural Machinery and Field Robots. In Precision Agriculture Technology - Past, Present, and Future. CRC Press: Boca Raton, Florida, USA.

Bao, Yin; Tang, Lie; Schnable, Patrick S.; and Salas Fernandez, Maria G. 2015. GPU-based Parallelization of a Sub-pixel Highresolution Stereo Matching Algorithm for Highthroughput Biomass Sorghum Phenotyping. ASABE Paper No. 152188089. St. Joseph, Mich.: ASABE

Lu, H., L. Tang, S. A. Whitham. 2015. Development of an automatic maize seedling phenotyping platform using 3D vision and industrial robot arm. ASABE Paper No. 152189844, St. Joseph, MI.

Lu, Hang. 2015. Development of a Robotic Platform for Maize Functional Genomics Research. Graduate Theses and Dissertations. Iowa State University.

Kentucky:

Precision in Practice. Successful Farming. April 2015. Research on the location accuracy of common mobile devices featured in a nationwide farm industry magazine. (Note: This is one of the largest farm magazines. Not a research publication.)

Michigan:

Donis-González, I.R., Guyer, D.E, Kavdir, I, Shahriari, D., and Pease, A. 2015. Development and applicability of an agarose-based tart cherry phantom for computer tomography imaging. J. Food Measurement and Characterization. 9:290-298. DOI 10.1007/s11694-015-9234-7.

Rady, A.M., Guyer, D.E. 2015. Evaluation of Sugar Content in Potatoes Using NIR Reflectance and Wavelength Selection Techniques. Postharvest Biology and Technology. 103:17-26.

Rady, A.M., Guyer, D.E., Lu, R. 2015. Evaluation of Sugar Content of Potatoes Using Hyperspectral Imaging. Journal of Food Bioprocess and Technology. 8(5):995-1010.

Donis-González, I.R., Guyer, D.E., Chen R., & Pease, A. 2015. Evaluation of undesirable fibrous tissue in processing carrots using Computed Tomography (CT) and structural fiber biochemistry. J. of Food Engineering. 153:108-116

Rady, A.M., Guyer, D.E. 2015. Utilization of Visible/Near-Infrared Spectroscopic and Wavelength Selection Methods in Sugar Prediction and Potatoes Classification. Journal of Food Measurement and Characterization. Vol 9:Issue1:20-34

Rady, A.M., Guyer, D.E. 2015. Rapid and/or Non-Destructive Quality Evaluation Methods for Potatoes: A Review. Computers and Electronics in Agriculture 117:31-48.

Rady, A.M. 2015. Evaluation of physiological status of potato tubers using spectroscopic and hyperspectral imaging systems. PhD Dissertation, Michigan State University.

Penn state:

Zhao, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2014. Design, fabrication, and testing of a low-cost apple harvest-assist device. ASABE Paper No. 141839738. American Society of Agricultural and Biological Engineers. 13 pp.

Washington:

US Patent: De Kleine, M., Ye, Y. and Karkee, M. (2015). Harvesting machine for formally trained orchards. US Patent. Application Filed.

Journal Articles

Ampatzidis, I., Vougioukas, S.G., Whiting, M.D., & Zhang, Q. (2014). Applying the machine repair model to improve efficiency of harvesting fruit. Biosystems Engineering. 120: 25-33.

Cui, D., Zhang, Q., Li, M., Slaminko, T., & Hartman, G.L. (2014). A method for determining the severity of sudden death syndrome in soybeans. Transactions of the ASABE. 57(2): 671-678.

Kang, F., Li, W., Pierce, F., & Zhang, Q. (2014). Investigation and improvement of targeted barrier application for cutworm control in vineyards. Acta Horticulturae. 57(2): 381-389.

Karkee, M., Adhikari, B., Amatya, S., & Zhang, Q. (2014). Identification of pruning branches in tall spindle apple trees for automated pruning. Computers and Electronics in Agriculture. 103: 127-135.

Li, L., Peters, R.T., Zhang, Q., Zhang, J., & Huang, D. (2014). Modeling apple surface temperature dynamics based on weather data. Sensors, 14: 20217-20234.

Ma, S. M. Karkee, P.A. Scharf, and Q. Zhang, 2014. Sugarcane harvester technology: a critical overview. Applied Engineering in Agriculture, 30(5): 727-739.

Shao, Y., Tan, L., Zeng, B., & Zhang, Q. (2014). Canopy pruning grade classification based on fast Fourier transform and artificial neural network. Transactions of the ASABE. 57(3): 963-971.

Silwal, A., Gongal, A., Karkee, M. (2014). Apple Identification in Field Environment with Over-The- Row Machine Vision System. Agricultural Engineering International: Agric Eng Intl (CIGR Journal), 16(4): 66-75.

Zhou, J., He, L., Zhang, Q., & Karkee, M. (2014). Effect of excitation position on fruit removal efficiency and damage in mechanical harvesting of sweet cherry. Biosystems Engineering. 125: 36-44.

Conference Papers

Davidson, J.R., Mo, C., Silwal, A., Karkee, M., Li, J., Xiao, K., Zhang, Q., Lewis, K. (2015). Human-Machine Collaboration for the Robotic Harvesting of Fresh Market Apples. IEEE International Conference on Robotics and Automation (ICRA) Workshop on Robotics in Agriculture. Seattle, WA.

Davidson, J.R., Mo, C. (2015). Mechanical Design and Initial Performance Testing of an Apple-Picking End-Effector. ASME International Mechanical Engineering Congress and Exposition. Houston, TX. Accepted for publication

Gongal, A., Amatya, S., Karkee, M., Zhang, Q., & Lewis, K.M. (2014). Identification of Repetitive Apples for Improved Crop-Load Estimation with Dual-Side Imaging. 19th World Congress of the International Federation of Automatic Control.

Silwal, A., Gongal, A., Karkee, M. (2014). Apple Identification in Field Environment with Over-The- Row Machine Vision System. Proceedings of the 6th Automation Technology for Off-road Equipment Conference (ATOE); 15-19 September; Beijing, China.

Silwal, A., Karkee, M., Zhang, Q. (2015). A hierarchical approach of apple identification for robotic harvesting. American Society of Agricultural and Biological Engineers (ASABE) annual international meeting, Paper #: 152167504; 26-29 July; New Orleans, USA.

Ye,Y., L. Yu, Q. Zhang. 2014. Wheel-slip control on an intelligent “bin-dog” system in natural orchard environments. In proc. of 6th Automation Technology for Off-road Equipment Conference (ATOE). September 16-19, 2014, Beijing, China.

Zhang, Y., Ye, Y., Wang, Z., Taylor, M.E., Hollinger, G.A. and Zhang, Q. (2015). Intelligent In-Orchard Bin-Managing System for Tree Fruit Production. In: Proceedings of the Robotics in Agriculture workshop (ICRA), May 2015, Seattle, WA.

Other Publications

Book Review: Zhang, Q. (2014). Book Review: Precision Agriculture for Grain Production Systems. Computers and Electronics in Agriculture, 100, 159.

Student Theses/Dissertations: Published

DeKleine, M. (2014). Semi-automated End-effector Concepts for Localized Removal and Catching of Fresh-market Apples in Fruiting Wall Orchards. PhD Dissertation, Washington State University.

Gongal, A. (2014). Improved Apple Crop-load Estimation with an Over-the-Row Machine Vision System. MS Thesis, Washington State University.

Zhang, J., (2014). Development and Application of a Novel System for Measuring Canopy Light Interception in Planar Orchards. Washington State University.

Zhou, J., (2014). Vibratory Harvesting Technology Research for Fresh Market Sweet Cherry. Washington State University.

Zhang, Y. (2015). Multi-Robot Coordination: Applications in Orchard Bin Management and Informative Path Planning. MS Thesis, Oregon State University.

11/16/2016

ARIZONA

Lati, R.N., Siemens, M.C. & Fennimore, S.A. 2015. Intelligent cultivators – New tool for improved integrated weed management in vegetable crops. In Proc. 2015 Weed Sci. Soc. of America Ann. Meeting., Abstract no. 194. Lawrence, Kansas: WSSA.

Lati, R.N., Siemens, M.C. Rauchy, J.S. & Fennimore, S.A. 2016. Intra-row weed removal in broccoli and transplanted lettuce with an intelligent cultivators. Weed Tech. 30(3): 655-663.

Fennimore, S.F., Slaughter, D.C., Siemens, M.C., Leon, R.G. & Saber, M.N. 2016. Technology for Automation of Weed Control in Specialty Crops. Weed Tech. (In-Press)

CALIFORNIA

Nguyen, T.T., D.C. Slaughter, J.N. Maloof, and N. Sinha. 2016.  Plant phenotyping using multi-view stereo vision with structured lights.  Proc. SPIE  9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 986608 (May 17, 2016);   doi: 10.1117/12.2229513

Shiu, J.W., D.C. Slaughter, L.E. Boyden, D.M. Barrett. 2016. Correlation of Descriptive Analysis and Instrumental Puncture Testing of Watermelon Cultivars. J. food Sci. 18(6):S1506-S1514.

Fennimore, S.A., D.C. Slaughter, M.C. Siemens, R.G. Leon, and M.N. Saber. 2016.  Technology for Automation of Weed Control in Specialty Crops.  Weed Technology (doi: 10.1614/WT-D-16-00070.1)

Arikapudi, R., Vougioukas, S.G., Jiménez- Jiménez, F., Farangis Khosro Anjom, F. (2016). Estimation of Fruit Locations in Orchard Tree Canopies Using Radio Signal Ranging and Trilateration. Computers and Electronics in Agriculture (125):160-172.

Vougioukas, S.G., He, L., Arikapudi, R. (2016). Orchard Worker Localisation Relative to a Vehicle Using Radio Ranging and Trilateration. Biosystems Engineering (147): 1-16.

FLORIDA

Li, H., W. S. Lee, and K. Wang. 2016. Immature green citrus fruit detection and counting based on fast normalized cross correlation (FNCC) using natural outdoor colour images. Precision Agriculture, DOI 10.1007/s11119-016-9443-z.

Zhao, C., W. S. Lee, and D. He. 2016. Immature green citrus detection based on colour feature and sum of absolute transformed difference (SATD) using colour images in the citrus grove. Computers and Electronics in Agriculture, 124: 243-253. http://dx.doi.org/10.1016/j.compag.2016.04.009. 

Pourreza, A., W. S. Lee, M. A. Ritenour, and P. Roberts. 2016. Spectral characteristics of citrus black disease. HortTechnology 26(3): 254-260. 

Yun, H. S., S. H. Park, H.-J. Kim, W. S. Lee, K. D. Lee, S. Y. Hong, G. H. Jung. 2016. Use of unmanned aerial vehicle for multi-temporal monitoring of soybean vegetation fraction. Journal of Biosystems Engineering 41(2):126-137. 

Choi, D., W. S. Lee, R. Ehsani, J. K. Schueller, and F. M. Roka. 2016. Detection of dropped citrus fruit on the ground and evaluation of decay stages in varying illumination conditions. Computers and Electronics in Agriculture 127: 109-119. 

Cubero, S., W. S. Lee, N. Aleixos, F. Albert, and J. Blasco. 2016. Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review. Food and Bioprocess Technology 9: 1623-1639. 

Ni, Z., T. F. Burks, W. S. Lee. 2016. 3D reconstruction of plant/tree canopy using monocular and binocular vision. J. Imaging. In press. 

Posadas, B., W. S. Lee, S. Galindo, Y. Hong and S. Kim. 2016. State of knowledge of apple Marssonina blotch (AMB) disease among Gunwi farmers. Journal of Biosystems Engineering. In press. 

Park, S. H., W. S. Lee, Y. Hong, M. Shuaibu, and S. Kim. Detection of apple Marssonina blotch with PLSR, PCA, and LDA using outdoor hyperspectral imaging. Spectroscopy and Spectral Analysis. In press. 

Castro, A. I. p, R. Ehsani, R.C. Ploetz, J.H. Crane, and J. Abdulridha. 2015. Optimum spectral and geometric parameters for early detection of laurel wilt disease in avocado. Remote Sensing of Environment. 171:33-44. 

Katti, A.R., W.S. Lee, R. Ehsani, C. Yang. 2015. Band selection using forward feature selection algorithm for citrus. Journal of Biosystems Engineering. 40(4):417-427.

Sankaran S.p, R. Ehsani, and K. Morgan. 2015. Detection of anomalies in citrus leaves using laser induced breakdown spectroscopy (LIBS). Applied Spectroscopy. 69:913-919. 

Castro, A. I. p, R. Ehsani, R.C. Ploetz, J.H. Crane, and S. Buchanon. 2015. Detection of laurel wilt disease in avocado using low altitude aerial imaging. PLoS ONE. DOI:10.1371/journal.pone.0124642.

HAWAII

Extension bulletins are in preparation.

IOWA

Bravo-Palacios, G. F., G. R. Luecke, and B. L. Steward. 2016. Distortion masking control algorithm for a pneumatic cylinder. ASABE Annual International Meeting, Orlando, FL. July 17-20. 

Gai, J., L. Tang, and B. L. Steward. 2016. Plants Detection, Localization and Discrimination using 3D Machine Vision for Robotic Intra-row Weed Control. ASABE Annual International Meeting, Orlando, FL. July 17-20. 

Schramm, M. W., M. Hanna, M. J. Darr, S. J. Hoff, and B. L. Steward. 2016. Measuring sub-second wind velocity changes at one meter above the ground. ASABE Paper No. 162461726. St. Joseph, Mich.: ASABE. DOI: 10.13031/aim.202461726 

Schramm, M., M. Hanna, M. Darr, S. Hoff, and B. Steward. 2016. A not so-random walk with wind: evaluating wind velocity update methods in ground based spray deposition models. ASABE Paper No. 162459709. St. Joseph, Mich.: ASABE. DOI: 10.13031/aim.202459709 

Hanna, H.M., D. N. Polk, B. L. Steward, and K. A. Rosentrater. 2016. Economic analysis of row cover insect exclusion for cucurbit crops. ASABE Paper No. 162461363. St. Joseph, Mich.: ASABE. 

Felizardo, K. R., H. V. Mercaldi, P. E. Cruvinel, V. A. Oliveira, and B. L. Steward. 2016. Modeling and model validation of a chemical injection sprayer system. Applied Engineering in Agriculture 32(3): 285-297. doi: 10.13031/aea.32.10606

Jingyao, G. 2016. Plants detection, localization and discrimination using 3D machine vision for robotic intra-row weed control. MS thesis. Iowa State University.

KENTUCKY

Rounsaville, J., Dvorak, J., Stombaugh, T. (2016). Methods for Calculating Relative Cross-Track Error for ASABE/ISO 12188-2 from Discrete Measurements. Transactions of the ASABE. In Press. 

Seyyedhasani, H., Dvorak, J., Sama, M., & Stombaugh, T. (2016). Technical Note: Mobile device-based location services accuracy. Applied Engineering in Agriculture. 32(5). In Press. 

Dvorak, J., Stombaugh, T., & Wan, Y. (2016). Nozzle Sensor for In-System Chemical Concentration Monitoring. Transactions of the ASABE. 59 (5). In Press. 

Jackson, J. & Dvorak, J. (2016). Hybrid Diesel-Electric Drivetrain for Small Agricultural Field Machines. Transactions of the ASABE. 59 (5). In Press 

Rounsaville, J. & Dvorak, J. System Power requirements for a Fully Electric Drivetrain in Ag. 2016 ASABE Annual International Meeting, Orlando, Florida. July 17-20, 2016. 

Dvorak, J.S. Electrical Energy for Agricultural Machinery. Oral Presentation. 2015 Electric & Hybrid Vehicle Technology Conference. Novi, Michigan. September 15-17, 2015 

Dvorak, J. & Seyyedhasani, Hasan. Simple Field Logistics Simulation Comparing Field Efficiencies and Field Capacities between Larger and Smaller Equipment. Poster Presentation. 2016 ASABE Annual International Meeting, Orlando, Florida. July 17-20, 2016. 

Seyyedhasani, H. & Dvorak, J. Comparison of traditional path assignment for multiple vehicles with computer generated one in agricultural field context. 2016 ASABE Annual International Meeting, Orlando, Florida. July 17-20, 2016.

MICHIGAN

Donis-Gonzalez, I.R., Guyer, D.E., Fulbright, D. 2016. Quantification and identification of microorganisms found on shell and kernel of fresh edible chestnuts in Michigan. Journal of the Science of Food and Agriculture. Vol 96(4514-4522) http://dx.doi.org/10.1002/jsfa.7667 

Donis-Gonzalez, I.R., Jeong, S., Guyer, D.E., Fulbright, D. 2016. Microbial contamination in peeled chestnut and the efficiency of post-processing treatments for microbial spoilage management. J. Food Processing and Preservation. http://dx.doi.org/10.1111/jfpp.12874 

Donis-Gonzalez, I.R., Guyer, D.E., Pease, A. 2016. Postharvest non-invasive assessment of undesirable fibrous tissue in fresh processing carrots using computer tomography images. Journal of Food Engineering. Vol 190(154-166) http://dx.doi.org/10.1016/j.jfoodeng.2016.06.024compag.2016.06.018 

Donis-Gonzalez, I.R., Guyer, D.E., Pease, A. 2016. Postharvest non-invasive classification of tough-fibrous asparagus using computed tomography images. Postharvest Biology and Technology. Vol 127 (27-35) http://dx.doi.org/10.1016/j.compag.2016.06.018 

Donis-Gonzalez, I.R. and Guyer, D.E. 2016. Classification of processing asparagus sections using color images. Computers and Electronics in Agriculture. Vol 127 (236-241). http://dx.doi.org/10.1016/j.compag.2016.06.018

MISSISSIPPI

Thesis: Opeyemi Christiana Olojede, “Comparative evalutation of three different methodologies for determining embryo temperature in broiler hatching eggs during incubation”, Mississippi State University, August 2015

PENNSYLVANIA

Lyons, D.J., P.H. Heinemann, J. Liu, J., J.R. Schupp, and T.A. Baugher. 2015. Development of a selective automated blossom thinning system for peaches. Transactions of ASABE. 58(6):1447-1457. 

Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2016. Design and field test of a low-cost apple harvest-assist unit. Transactions of ASABE. 59(5): (in press) 

Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2016. Development of mechanical apple harvesting technology – a review. Transactions of ASABE. 59(5): (in press) 

WASHINGTON

Amatya, S., and M. Karkee, 2016. Integration of visible branch sections and cherry clusters for detecting cherry tree branches in dense foliage canopies. 2016. Biosystems Engineering, 119:72-81. 

Amatya, S., M. Karkee, A. Gongal, Q. Zhang, M.D. Whiting. 2016. Detection of Cherry Tree Branches in Planner Architecture for Automated Sweet-Cherry Harvesting. Biosystems Engineering. 146:3-15. 

Davidson, J., Silwal, A., Karkee, M., Mo, C., Qin, Z. 2016. Hand Picking Dynamic Analysis for Undersensed Robotic Apple Harvesting. Transactions and the ASABE, Vol. 59(4): 745-758.

De Kleine, M. E., and M. Karkee. 2016. A Semi-Automated Harvesting Prototype for Shaking Fruit Tree Limbs. Transactions of the ASABE, 58(6): 1461-1470. 

Gongal, A., A. Silwal, S. Amatya, M. Karkee, Q. Zhang, and K. Lewis. 2016. Apple Crop-load Estimation with Over-the-Row Machine Vision System. Computers and Electronics in Agriculture, 20: 26–35. 

Li, J., M. Karkee, Q. Zhang, K. Xiao, T. Feng, 2016. Characterizing apple fruit robotic picking patterns and detaching parameters. Computers and Electronics in Agriculture, 127:633-640.

Santiago, W. E., N. J. Leite, B. J. Teruel, M. Karkee, C. A. M. Azania, and R. Vitorino. 2016. Development and testing of image processing algorithm to estimate weed infestation level in corn fields. Australian Journal of Crop Science.10(9): 12232-1237. 

Ye, Y., 2016. A maneuverability study on a wheeled bin management robot in tree fruit orchard environments. Ph.D. Dissertation, April 2016, Washington State University. 

Ye, Y. L. He, Q. Zhang. 2016. Steering control strategies for a four-wheel-independent-steering bin managing robot. Paper and presentation at the 5th IFAC Conference on Sensing, Control and Automation for Agriculture, August 14-17, Seattle, WA.

WEST VIRGINIA

Talks to stakeholders, peer groups, multistate clientele: Tabb, A. Computer vision in tree fruit production. Marquette University Electrical and Computer Engineering lecture series, Milwaukee, Wisconsin. October 13, 2015. 

Tabb, A. Engineering Computer Vision Tools for Entomology Research. Brown Marmorated Stink Bug Integrated Pest management working group meeting. Virginia Tech’s Alson H. Smith, Jr. Agricultural Research and Extension Center (AREC), Winchester, VA. December 2, 2015. 

Tabb, A. Autonomously Determining the Shape of Trees for Structural Phenotyping and Pruning. Institute of Electrical and Electronics Engineers technical committee on Agricultural Robotics, international virtual presentation. Feb 11, 2016. 

Tabb, A. Robotic Imaging System for Orchard Automation. Young Growers Alliance (of Pennslyvania) Tour. USDA-ARS-Appalachian Fruit Research Station, Kearneysville, West Virginia. June 7, 2016. 

Tabb, A. A robotic system for three-dimensional tree architecture phenotyping. Cornell Fruit Field Day, Geneva, New York. July 20, 2016

 

 

11/13/2017

ARIZONA

Lefcourt, A.M. & Siemens, M.C. Interactions of insolation and shading on ability to use fluorescence imaging to detect fecal contaminated spinach. Applied Sci. 7 1041; doi:10.3390. 

CALIFORNIA

Shiu, J.W., D.C. Slaughter, L.E. Boyden, D.M. Barrett. 2016. Correlation of Descriptive Analysis and Instrumental Puncture Testing of Watermelon Cultivars. J. food Sci. 18(6):S1506-S1514. 

Doan, H.K., K. Perez, R.M. Davis, and D.C. Slaughter. 2016. Survey of Molds in California Processing Tomatoes. J. of Food Science. 81(11): 2785-2792. 

Xiaotuo, W., G.G. Atungulu, R. Khir, G. Zhenjiang, P. Zhongli, S.A. Wilson, G. Olatunde, and D. Slaughter. 2017. Sorting in-shell walnuts using near infrared spectroscopy for improved drying efficiency and product quality. International Agricultural Engineering Journal. 26(1): 165-172. 

Vougioukas, S.G., Arikapudi R., Munic, J. (2016). A Study of Fruit Reachability in Orchard Trees by Linear-Only Motion. Journal: IFAC-PapersOnLine, 49(16), pp.277-280. https://doi.org/10.1016/j.ifacol.2016.10.051. 

Arikapudi, R., Vougioukas, S.G., Jiménez- Jiménez, F., Farangis Khosro Anjom, F. (2016). Estimation of Fruit Locations in Orchard Tree Canopies Using Radio Signal Ranging and Trilateration. Computers and Electronics in Agriculture (125): 160-172. http://dx.doi.org/10.1016/j.compag.2016.05.004. 

Vougioukas, S.G., He, L., Arikapudi, R. (2016). Orchard Worker Localisation Relative to a Vehicle Using Radio Ranging and Trilateration. Biosystems Engineering (147): 1-16. http://dx.doi.org/10.1016/j.biosystemseng.2016.03.006 

FLORIDA

Pourreza, A., W. S. Lee, E. Czarnecka, L. Verner, and W. Gurley. 2017. Feasibility of using the optical sensing techniques for early detection of Huanglongbing in citrus seedlings. Robotics 6(11). Doi:10.3390/robotics6020011. 

Shuaibu, M., W. S. Lee, Y. K. Hong, and S. Kim. 2017. Detection of apple Marssonina blotch disease using particle swarm optimization. Trans. ASABE 60(2): 303-312. 

Khedher Agha, M. K., W. S. Lee, C. Wang, R. W. Mankin, A. R. Blount, R. A. Bucklin, and N. Bliznyuk. 2017. Detection and prediction of Sitophilus oryzae infestations in triticale via visible and near infrared spectral signatures. Journal of Stored Products Research 72: 1-10. 

Khedher Agha, M. K., R. A. Bucklin, W. S. Lee, R. W. Mankin, and A. R. Blount. 2017. Effect of drying conditions on triticale seed germination and weevil infestation. Trans. ASABE 60(2): 571-575. 

Barocco, R., W. S. Lee, and G. Hortman. 2017. Yield mapping hardware components for grains and cotton using on-the-go monitoring systems. UF/IFAS EDIS AE518. http://edis.ifas.ufl.edu/ae518. 

HAWAII

Provera, M. 2016. Determination of the Water Content of Coffee Leaves using Infrared Spectroscopy. University of Hawaii at Manoa, Biological Engineering, Honolulu, HI. 

Bittenbender, H. C., L. D. Gautz, E. Seguine, and J. L. Myers. 2017. Microfermentation of Cacao: The CTAHR Bag System. Horttechnology 27(5):5. 

IOWA

Fernandez, M. G. S., Bao, Y., Tang, L., & Schnable, P. S. (2017). A high-throughput, field-based phenotyping technology for tall biomass crops. Plant Physiology, pp-00707. 

Felizardo, K. R., H. V. Mercaldi, P. E. Cruvinel, V. A. Oliveira, and B. L. Steward. 2016. Modeling and model validation of a chemical injection sprayer system. Applied Engineering in Agriculture 32(3): 285-297. doi: 10.13031/aea.32.10606. 

Lu, H., L. Tang, S. A. Whitham, Y. Mei. 2017. A Robotic Platform for Corn Seedling Morphological Traits Characterization. Sensors 17(9), 2082. doi:10.3390/s17092082 

Li, J., L. Tang. 2017. Developing a low-cost 3D plant morphological traits characterization system. 2017. Computers and Electronics in Agriculture, 143:1-13. https://doi.org/10.1016/j.compag.2017.09.025. 

Li, J., L. Tang. 2017. Crop Recognition under weedy conditions based on 3D imaging for robotic weed control. Journal of Field Robotics. DOI: 10.1002/rob.21763. 

Bao, Y.*, L. Tang, D. Shah. 2017. Robotic 3D Plant Perception and Leaf Probing with Collision-Free Motion Planning for Automated Indoor Plant Phenotyping. ASABE Paper No. 1700369. St. Joseph, Mich.: ASABE. doi: 10.13031/aim.201700369 

Herzberg, R. L., H. M. Hanna, B.L. Steward, and K. A. Rosentrator. 2017. Assessment of the mechanization of row covers for cucurbit crops. ASABE Paper No. 162460814. St. Joseph, Mich.: ASABE. DOI: 10.13031/aim.201700686 

Villibor, G. P., B. L. Steward, G. R. Luecke, D. M. Queiroz, L. Tang, S. Kshetri. 2017. Vibrations levels assessment of a robotic intra-row weeder using low-cost data acquisition system. ASABE Paper No. 1700652. St. Joseph, Mich.: ASABE. DOI: 10.13031/aim.201700652 

Kshetri, S., J. Gai, L. Tang, and B. L. Steward. 2017. Trajectory controller design for precisely positioning a mechanical weeding mechanism. ASABE Annual International Meeting, Spokane, WA. July 16-19. 

Gai, J., S. Kshetri, L. Tang, and B. L. Steward. 2017. Robotic intra-row weed control using 3D computer vision. ASABE Annual International Meeting, Spokane, WA. July 16-19. 

Breitzman, M. W., Bao, Y., Tang, L., Schnable, P. S. & Fernandez, M. G. S. 2017. High-throughput architectural traits phenotyping for association mapping. Session of Physiological Traits for High Throughput Phenotyping of Abiotic Stress Tolerance at the ASA, CSSA and SSSA International Annual Meetings, Tampa, Florida. 

Jafni Johari Jiken. 2016. Experimental approach to determine the efficacy of a tine mechanism for auto weeding machine. M. S. Thesis. Iowa State University Parks Library. 

KENTUCKY

Seyyedhasani, H., Dvorak, J. (2017). Using the Vehicle Routing Problem to Reduce Field Completion Times with Multiple Machines. Computers and Electronics in Agriculture. 134. March 2017. 142-150. http://dx.doi.org/10.1016/j.compag.2016.11.010. 

Seyyedhasani, H., Dvorak, J. S., Sama, M., Aerial Validation of a Logistics Model for Area Coverage in Agriculture. Conference Presentation. 2017 ASABE Annual International Meeting, Spokane, WA, United States. July 16-19, 2017. 

MICHIGAN

Donis-González, I.R., Guyer, D.E., Lu, R. 2016. Postharvest assessment of undesirable fibrous tissue (choking hazard) in fresh processing carrots using Vis/NIR hyperspectral images. Proceedings for 3rd International Conference on Fresh-Cut Produce: Maintaining Quality and Safety Sept. 13-18, 2015. Acta Horticulturae 1141 ISHS 2016. DOI 10.17660/ActaHortic.2016.1141.21. 

Donis-Gonzalez, I.R., Jeong, S., Guyer, D.E., Fulbright, D. 2017. Microbial contamination in peeled chestnut and the efficiency of post-processing treatments for microbial spoilage management. J. Food Processing and Preservation. Vol. 41: http://dx.doi.org/10.1111/jfpp.12874. 

Lu, Y. and Lu, R. Histogram-based automatic thresholding for bruise detection of apples by structured-illumination reflectance imaging. Biosystems Engineering 160:30-41. 2017. 

Huang, Y., Lu, R., and K. Chen. Development of a multichannel hyperspectral imaging probe for food property and quality assessment. Postharvest Biology and Technology 133:88-97. 2017. 

Zhang, Z., Pothula, A. K. and Lu, R. Economic analysis of a self-propelled apple harvest and in-field sorting machine for the apple industry. ASABE Paper No. 2456644 (DOI: 10.13031/aim.202456644), 12 pp. 2016 (Proceedings) 

Lu, R., Zhang, Z., and Pothula, A. K. Innovative technology for apple harvest and in-field sorting. Fruit Quarterly 25(2):11-14. 2017. (Industry Publications) 

Huang, Y., Lu, R., and K. Chen. Development of a multichannel hyperspectral imaging probe for food property and quality assessment. In SPIE Proceedings Vol. 9864 - Sensing for Agriculture and Food Quality and Safety VII (edited by Kim, M. S. et al.), Paper No. 98640Q, 12 pp. SPIE (The International Society for Optical Engineering), Bellingham, WA. 2016. (Proceedings) 

Lu, Y. and Lu, R. Phase analysis of three-dimensional surface reconstruction of apples using structured-illumination reflectance imaging. SPIE Proceedings Vol. 9864 - Sensing for Agriculture and Food Quality and Safety VII (edited by Kim, M. S. et al.), Paper No. 98640Q, 12 pp. SPIE (The International Society for Optical Engineering), Bellingham, WA. 2017. (Proceedings) 

Zhang, Z., Pothula, A. K., and Lu, R. Development of a new bin filler for apple harvesting and infield sorting with a review of existing technologies. ASABE Paper #201700662, 16pp. DOI: 10.13031/aim.201700662. 2017. (Proceedings) 

Huang, Y., Lu, R. and Chen, K. Nondestructive measurement of tomato postharvest quality using a multichannel hyperspectral imaging probe. ASABE Paper #201700195, 11pp. DOI: 10.13031/aim.201700195. 2017. (Proceedings) 

Lu, Y. and Lu, R. Structured-illumination reflectance imaging coupled with spiral phase transform for bruise detection and three-dimensional geometry reconstruction of apples. ASABE Paper #201700584, 15pp. DOI: 10.13031/aim.20170584. 2017. (Proceedings) 

PENNSYLVANIA

Zhang, Z., P.H. Heinemann, J. Liu, J.R. Schupp, and T.A. Baugher. 2016. Design and field test of a low-cost apple harvest-assist unit. Transactions of ASABE. 59(5):1149-1156. 

Zhang, Z., P.H. Heinemann, J. Liu, T.A. Baugher and J. R. Schupp. 2016. Development of mechanical apple harvesting technology – a review. Transactions of ASABE. 59(5):1165-1180. 

Zhang, Z., P. H. Heinemann, J. Liu, J. R. Schupp, T. A. Baugher. 2017. Brush mechanism for distributing apples in a low-cost apple harvest unit. Applied Engineering in Agriculture 33(2): 195-201. 

Zhang, Z., and P.H. Heinemann. 2017. Economic analysis of a low-cost apple harvest-assist unit. HortTechnology. 27(2):240-247. 

Schupp, J. R., H. E. Winzeler, T. M. Kon, R. P. Marini, T. A. Baugher, L. F. Kime and M. A. Schupp. 2017. A method for quantifying whole-tree pruning severity in mature tall spindle apple plantings. HortScience 52 (accepted for publication 13 July 2017). 

Baugher, T., E. Dugan, M. Basedow, T. Jarvinen, J. Schupp, E. Winzeler and M. Schupp. 2017 Competitive orchard systems and technologies. Pennsylvania Fruit News 97(2):27. 

Schupp, J., E. Winzeler and M. Schupp. 2017. Evaluation of artificial spur extinction as a potential crop load management technique. Pennsylvania Fruit News 97(1):74-76. 

WASHINGTON

Fu, H., L. He, S. Ma, M. Karkee, D. Chen, Q. Zhang, and S. Wang. 2017. “Jazz” Apple Impact Bruise Responses to Different Cushioning Materials. Transactions of the ASABE. 60(2): 327-336. 

He, L., H. Fu, D. Sun, M. Karkee, and Q. Zhang. 2017. Shake and Catch Harvesting for Fresh Market Apples in Trellis Trained Trees. Transactions of the ASABE. 60(2): 353-360. 

He, L., H. Fu, M. Karkee, and Q. Zhang. 2017. An Effect of fruit location on apple detachment with mechanical shaking. Biosystems Engineering, 157: 63-171. 

Silwal, A., J. R. Davidson, M. Karkee, C. Mo, Q. Zhang, and K. Lewis. 2017. Design, integration, and field evaluation of a robotic apple harvester. Journal of Field Robotics. 34(6): 1140-1159. 

Silwal, A., M. Karkee, and Q. Zhang. 2016. A Hierarchical approach of apple identification for robotic harvesting. Transaction of the ASABE. 59(5): 1079-1086. 

Ye, Y., Z. Wang, D. Jones, L. He, M.E. Taylor, G.A. Hollinger, and Q. Zhang. Bin-Dog: A Robotic Platform for Bin Management in Orchards. Robotics, 6(2), 2017. 

Zhou, J., L. He, M. Whiting, S. Amatya, P. Larbi, M. Karkee, and Q. Zhang. 2016. Field evaluation of a mechanical-assist cherry harvesting system. Engineering in Agriculture, Environment and Food, 9(4): 324-331. 

WEST VIRGINIA

Tabb, A. and H. Medeiros. 2017. A robotic vision system to measure tree traits. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 

Tabb, A. and K. M. Ahmad Yousef. 2017. Solving the Robot-world, Hand-eye calibration problem with iterative methods. Machine Vision and Applications. 28(5-6): 569-590.

11/17/2018

ARIZONA

Lefcourt, A.M., Siemens, M.C. & Rivadeneira, P. 2018. Optical parameters for using VIS reflectance or fluorescence imaging to detect bird excrements in produce fields. Applied Sciences (submitted)

CALIFORNIA

Arikapudi R., Vougioukas, S.G., (2018a). Estimating the Fruit Picking Throughput of a Telescopic Arm in High Density Trellised Pear Orchards. ASABE Annual International Meeting. Paper Number # 1801684 , Detroit, Michigan.

Arikapudi, R., Vougioukas, S. (2018b). A Study on Pick-Cycle-Times of Robotic Multi-Arm Tree Fruit Harvesters. Intl. Conference on Agricultural Engineering (AgEng 2018).

Durand-Petiteville, A., Le Flecher, E., Cadenat, V., Sentenac, T.,  Vougioukas, S.G. (2018). Tree detection with low-cost 3D sensors for autonomous navigation in orchards. IEEE Robotics and Automation Letters. 3(4): 3876-3883.

Jang, W.J., (2018). Investigation on the Harvest-aid Robot Scheduling Problem and the Implementation of Its Simulation Platform. M.Sc. Thesis. University of California, Davis.

Khosro Anjom, F., Vougioukas, S. G., Slaughter, D.C. (2018a). Development of a Linear Mixed Model to Predict the Picking Time in Strawberry Harvesting Processes. Biosystems Engineering. (166): 76-89.

Khosro Anjom, F. (2018b). Predictive Modeling of the Temporal Distribution of Tray-Transport Requests for Robot-Aided Strawberry Harvesting. Ph.D. Dissertation. University of California, Davis.

Peng, C.,  Seyyedhasani, H., Vougioukas, S.G., (2018). Optimized predictive dispatching of robotic harvest- aids using Multiple Scenario Approach. ASABE Annual International Meeting. Paper Number # 1801694, Detroit, Michigan.

Seyyedhasani, H., Peng, C., Vougioukas, S.G., (2018). Efficient Dispatching of a Team of Harvest-aid Ro- bots to Reduce Waiting Time for Human Pickers. ASABE Annual International Meeting. Paper Number # 1801715, Detroit, Michigan.

Jantra, C., D.C. Slaughter, P.S. Liang, S. Pathaveerat.  2017.  Nondestructive determination of dry matter and soluble solids content in dehydrator onions and garlic using a handheld visible and near infrared instrument.  Postharvest Biology and Technology.  133: 98-103.

Westwood, J.H., R. Charudattan , S.O. Duke, S.A. Fennimore, P. Marrone, D.C. Slaughter, C. Swanton and R. Zollinger.  2018.  Weed Management in 2050: Perspectives on the Future of Weed Science.  Weed Science. Volume: 66   Issue: 3   Pages: 275-285.

Perez-Ruiz, M., Brenes, R., Urbano, JM., Slaughter, DC., Forcella, F., Rodriguez-Lizana, A. 2018. Agricultural residues are efficient abrasive tools for weed control. AGRONOMY FOR SUSTAINABLE DEVELOPMENT. Volume: 38: 2 Article Number: 18.

FLORIDA

Pourreza, A., W. S. Lee, E. Czarnecka, L. Verner, and W. Gurley. 2017. Feasibility of using the optical sensing techniques for early detection of Huanglongbing in citrus seedlings. Robotics 6(11). Doi:10.3390/robotics6020011.

Shuaibu, M., W. S. Lee, Y. K. Hong, and S. Kim. 2017. Detection of apple Marssonina blotch disease using particle swarm optimization. Trans. ASABE 60(2): 303-312.

Khedher Agha, M. K., W. S. Lee, C. Wang, R. W. Mankin, A. R. Blount, R. A. Bucklin, and N. Bliznyuk. 2017. Detection and prediction of Sitophilus oryzae infestations in triticale via visible and near infrared spectral signatures. Journal of Stored Products Research 72: 1-10.

Khedher Agha, M. K., R. A. Bucklin, W. S. Lee, R. W. Mankin, and A. R. Blount. 2017. Effect of drying conditions on triticale seed germination and weevil infestation. Trans. ASABE 60(2): 571-575.

Barocco, R., W. S. Lee, and G. Hortman. 2017. Yield mapping hardware components for grains and cotton using on-the-go monitoring systems. UF/IFAS EDIS AE518.  http://edis.ifas.ufl.edu/ae518.

GEORGIA

Patrick, A., and C. Li. 2017. High throughput phenotyping of blueberry bush morphological traits using unmanned aerial systems. Remote Sensing. 9 (12): 1250.

Kuzy, J., Y. Jiang, and C. Li, 2017. Blueberry bruise detection by pulsed thermographic imaging. Postharvest Biology and Technology, 136 (2018): 166-177.

Gallardo, R. K., E.T. Stafne, L.W DeVetter, Q. Zhang, C. Li, F. Takeda, J. Williamson, W. Yang, R. Beaudry, W. Cline, R. Allen. 2018. Blueberry producers' attitudes toward harvest mechanization for fresh market. Hort Technology. 28.1: 10-16.

Zhang, M., C. Li, F. Takeda, and F. Yang. 2017. Detection of internally bruised blueberries using hyperspectral transmittance imaging. Transactions of ASABE, 60(5): 1-14.

Fan, S.X., C. Li, W.Q. Huang, and L.P. Chen. 2017. Detection of blueberry internal bruising over time using NIR hyperspectral reflectance imaging with optimum wavelengths. Postharvest Biology and Technology, 134:55-66.

Takeda, F., W. Yang , C. Li, A. Freivalds, K. Sung , R. Xu, B. Hu, J. Williamson and S. Sargent. 2017.  Applying new technologies to transform blueberry harvesting. Agronomy, 7: 33.

HAWAII

Bittenbender, H. C., L. D. Gautz, E. Seguine, and J. L. Myers. 2017. Microfermentation of Cacao: The CTAHR Bag System. Horttechnology 27(5):690-694.

IOWA

Conference Papers:

Gai, J., L. Tang, I. Tegeler, X.Yu. 2018. Machine vision for plant detection and localization for robotic weeding based on deep convolutional neural network. ASABE Annual International Meeting, Detroit, MI. July 29 - August 1, 2018

Bao, Y. and L. Tang. 2018. A robotized multi-sensor perception-driven indoor plant phenotyping system. ASABE Annual International Meeting, Detroit, MI. July 29 - August 1.

Bao, Y. and L. Tang. 2018. Plant architectural traits characterization for maize using time-of-flight 3D imaging. ASABE Annual International Meeting, Detroit, MI. July 29 - August 1.

Xiang, L., Y. Bao, L. Tang, and M. G. Salas-Fernandez. 2018. Automated morphological trait extraction for sorghum plants via 3D point cloud data analysis. ASABE Annual International Meeting, Detroit, MI. July 29-August 1.

Widmer, J. M., H. Mark Hanna, Brian L. Steward, and Kurt A. Rosentrater. "Improving and Testing Methods of Securing Row Cover for Organic Cucurbit Production." 2018 ASABE Annual International Meeting, Detroit, MI, July 29-August 1, 2018. Paper No. 1801263. DOI:10.13031/aim.201801263

Journal Articles:

Hanna, H. M., B. L. Steward, and K. A. Rosentrater. 2018. Evaluating row cover establishment systems for cantaloupe and summer squash. Applied Engineering in Agriculture. 34(2):355-364. https://doi.org/10.13031/aea.12217

Bao, Y., L. Tang, M. W. Breitzman, M. G. Salas Fernandez, P. S. Schnable. 2018. Field-based robotic phenotyping of sorghum plant architecture using stereo vision. Journal of Field Robotics 2018: 1-19. DOI: 10.1002/rob.21830.

Bao, Y., D. Shah, L. Tang. 2018. 3D Perception-based Collision-Free Robotic Leaf Probing for Automated Indoor Plant Phenotyping. Transaction of the ASABE 61(3).

MICHIGAN

Huang, Y., Lu, R., Xu, Y., Chen, K. 2018. Prediction of tomato firmness using a spatially-resolved multichannel hyperspectral imaging probe. Postharvest Biology and Technology. 140:18-26. 

Huang, Y., Hu, D., Lu, R., Chen, K. 2018. Quality assessment of tomato quality by optical absorption and scattering properties. Postharvest Biology and Technology. 143:78-85.

Huang, Y., Lu, R., Chen, K. 2018. Assessment of tomato soluble solids content and pH by spatially-resolved and conventional Vis/NIR spectroscopy. Journal of Food Engineering. 236:19-28. 

Li, R., Lu, Y., Lu, R. 2018. Structured illumination reflectance imaging for enhanced detection of subsurface tissue bruising in apples. Transactions of the ASABE. 61(3):809-819. 

Lu, Y., Lu, R. 2017. Non-destructive defect detection of apples by spectroscopic and imaging technologies: A review. Transactions of the ASABE. 60(5):1765-1790. 

Lu, Y., Lu, R. 2017. Development of a multispectral structured-illumination reflectance imaging (SIRI) system and its application to bruise detection of apples. Transactions of the ASABE. 60(4):1379-1389. 

Lu, Y., Lu, R. 2018. Structured-illumination reflectance imaging coupled with phase analysis techniques for surface profiling of apples. Journal of Food Engineering. 232:11-20.

Lu, Y., Lu, R. 2018. Fast bi-dimensional empirical mode decomposition as an image enhancement technique for fruit defect detection. Computers and Electronics in Agriculture. 152:314-323. 

Lu, R., Pothula, A. K., Mizushima, A., Vandyke, M. and Zhang, Z. 2018. System for sorting fruit. U.S. Patent #9,919,345.

Pothula, A., Zhang, Z., Lu, R. 2018. Design features and bruise damage evaluation of an apple harvest and infield sorting machine. Transactions of the ASABE. 61(3):1135-1144. 

Zhang, Z., Pothula, A., Lu, R. 2017. Development and preliminary evaluation of a new bin filler for apple harvesting and infield sorting. Transactions of the ASABE. 60(6):1839-1849. 

Zhang, Z., Pothula, A.K., Lu, R. 2017. Economic evaluation of apple harvest and in-field sorting technology. Transactions of the ASABE. 60(5):1537-1550.

PENNSYLVANIA

Chen, L., Karkee, M., He, L., Wei, Y., & Zhang, Q. (2018). Evaluation of a Leveling System for a Weeding Robot under Field Condition. IFAC-PapersOnLine, 51(17), 368-373.

Choi, D., & Jarvinen, T. (2018). A video processing strategy using camera movement estimation for apple yield forecasting. Proceedings of the 9th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering, page 1-5, Jeju, South Korea, May 28-30, 2018.

Feng, J., & He, L. (2018). Tree canopy estimation for mechanical pruning based on 3D Lidar. NABEC Paper No. 18-054. St. Joseph, MI: ASABE.

Fu, H., Duan, J., Karkee, M., He, L., Chen, D., Sun, D., & Zhang, Q. (2018). Quantifying fruit quality affected by mechanical impact for selected apple varieties. IFAC-PapersOnLine, 51(17), 250-255.

He, L., and J. Schupp. 2018. Sensing and automation in pruning of apple trees: a review. Agron. 2018, 8, 211. http://www.mdpi.com/2073-4395/8/10/211/pdf. 18 pp.

He, L., Zhang, X., Karkee, M., & Zhang, Q. (2018). Fruit Accessibility for Mechanical Harvesting of Fresh Market Apples. ASABE Paper No. 1801007. St. Joseph, MI: ASABE.

Jarvinen, T., Choi, D., Heinemann, P., & Baugher, T. A. (2018). Multiple object tracking-by-detection for apple fruit counting on a tree canopy. 2018 ASABE Annual International Meeting, Paper No. 1801193, page 1-8.

Kon, T. M., J. R. Schupp, K. S. Yoder, L. D. Combs, and M. A. Schupp. 2018. Comparison of chemical blossom thinners using ‘Golden Delicious’ and ‘Gala’ pollen tube growth models as timing aids. HortScience 53:1143-1151.

Schupp, J.R., H.E. Winzeler, T.M. Kon, R.P. Marini, T.A. Baugher, L.F. Kime, M.A. Schupp. 2017. A method for quantifying whole-tree pruning severity in mature tall spindle apple plantings. HortScience 52:1233-1240.

Schupp, J., R. Marini and T. Baugher. 2018. Competitive Orchard Systems and Technologies. Pennsylvania Fruit News 98(1):21-23.

Schupp, J., T. Baugher and P. Heinemann. 2018. Peach Crop Load Management: Blossom Thinning and Fruit Size. Penn State Fruit Times, https://extension.psu.edu/peach-crop-load-management-blossom-thinning-and-fruit-size?j=215664&sfmc_sub=22239605&l=159_HTML&u=4146493&mid=7234940&jb=1

Schupp, J., B. Wiepz, E. Winzeler and M. Schupp. 2018. Evaluation of Artificial Spur Extinction or 6BA at bloom as Potential Crop Load Management Techniques. Pennsylvania Fruit News 98(1):24-25.

Wang, C., Lee, W. S., Zou, X., Choi, D., Gan, H., & Diamond, J. (2018). Detection and counting of immature green citrus fruit based on the Local Binary Patterns (LBP) feature using illumination-normalized images. Precision Agriculture. DOI: https://doi.org/10.1007/s11119-018-9574-5

Zhang, X., Fu, L., Majeed, Y., He, L., Karkee, M., Whiting, M. D., & Zhang, Q. (2018). Field Evaluation of Data-based Pruning Severity Levels (PSL) on Mechanical Harvesting of Apples. IFAC-PapersOnLine, 51(17), 477-482.

WASHINGTON

Chandel, A., L. R. Khot, Y. Osroosh and R. T. Peters. 2018. Thermal-RGB imager derived in-field apple surface temperature estimates for sunburn management. Agricultural and Forest Meteorology, 253-254: 132-140. https://doi.org/10.1016/j.agrformet.2018.02.013 (5-Year IF: 4.753).

Osroosh, Y., L. R. Khot, and R. T. Peters. 2018. Economical thermal-RGB imaging system for monitoring agricultural crops. Computers and Electronics in Agriculture, 147: 34-43. https://doi.org/10.1016/j.compag.2018.02.018 (5-Year IF: 2.502).

Sinha, R., L. R. Khot, B. Schroeder and S. Sankaran. 2018. FAIMS based volatile fingerprinting for real-time postharvest storage infections detection in stored potatoes and onions. Postharvest Biology and Technology, 135: 83-92. https://doi.org/10.1016/j.postharvbio.2017.09.003 (5-Year IF: 3.603).

Zúñiga C. E., A. P. Rathnayake, M. Chakraborty, S. Sankaran, P. Jacoby and L. R. Khot. 2018. Applicability of time-of-flight based ground and multispectral aerial imaging for grapevine canopy vigour monitoring under direct root-zone deficit irrigation. International Journal of Remote Sensing, In Press (5-Year IF: 1.724).

Bahlol, H. Y., R. Sinha, G.–A. Hoheisel, R. Ehsani and L. R. Khot. 2018. Efficacy evaluation of horticultural oil based thermotherapy for pear psylla management. Crop Protection, 113: 97-103. https://doi.org/10.1016/j.cropro.2018.07.015 (5-Year IF: 1.936).

Boydston, R., L. D. Porter, B. Chaves-Cordoba, L. R. Khot and P. N. Miklas. 2018. The impact of tillage on pinto bean cultivar response to drought induced by deficit irrigation. Soil & Tillage Research, 180: 63-72. https://doi.org/10.1016/j.still.2018.02.011 (5-Year IF: 3.856).

Jarolmasjed, S., S. Sankaran, L. Kalcsits and L. R. Khot. 2018. Proximal hyperspectral sensing of stomatal conductance to monitor the efficacy of exogenous abscisic acid applications in apple trees. Crop Protection, 109: 42-50. https://doi.org/10.1016/j.cropro.2018.02.022 (5-Year IF: 1.936).

Jarolmasjed, S., L. R. Khot and S. Sankaran. 2018. Hyperspectral imaging and spectrometry-derived spectral features for bitter pit detection in storage apples. Sensors, In Press. (5-Year IF: 2.677).

Sankaran, S., J. Zhou, L.R. Khot, J.J. Trapp, E. Mndolwa and P.N. Miklas. 2018. High-throughput field phenotyping in dry bean using small unmanned aerial vehicle based multispectral imagery. Computers and Electronics in Agriculture, 151: 84-92. https://doi.org/10.1016/j.compag.2018.05.034 (5-Year IF: 2.502).

Gallardo, R.K., E. Stafne, L. Wasko DeVetter, Q. Zhang, C. Li, F. Takeda, J. Williamson, W. Yang, R. Beaudry, W. Cline, and R. Allen. 2018. “Blueberry Producers’ Attitudes toward Harvest Mechanization for Fresh Market.” HortTechnology, 28(1):10-16.

Gallardo, R.K. and H. Garming. “The Economics of Apple Production.” In Achieving Sustainable Cultivation of Apples. Ed. Kate Evans. Burleigh Dodds Science Publishing. Cambridge, UK. Published June 16, 2017.

Ye, Y., L. He, Z. Wang, D. Jones, G. Hollinger, M. Taylor, and Q. Zhang, (2018). Orchard maneuvering strategy for a robotic bin-handling machine bin-dog a self-propelled platform for bin management in orchards. Biosystems Engineering, 169: 85-103.

Ye, Y., Z. Wang, D. Jones, L. He, M. Taylor, G. Hollinger, and Q. Zhang, (2017). Bin-dog: a robotic platform for bin management in orchards.  Robotics, 6(2): Article 12 (17pp).

Jones, D., and G. Hollinger, (2017). Planning energy-efficient trajectories in strong disturbances. Robotics and Automation Letters, 2(4): 2080-2087.

Alhamid, J.O., C. Mo, X. Zhang, P. Wang, M.D.Whiting, Q. Zhang, (2018).  Cellulose nanocrystals reduce cold damage to reproductive buds in fruit crops. Biosystems Engineering, 172: 124-133.

Zhang, J., L. He, M. Karkee, Q. Zhang, X. Zhang and Z. Gao. 2018. Branch Detection for Apple Trees Trained in Fruiting Wall Architecture using Depth Features and Regions-Convolutional Neural Network (R-CNN). Computers and Electronics in Agriculture. 155: 386-393.

Zhang, X., He, L., Majeed, Y., Karkee, M., Whiting, M. D., & Zhang, Q. 2018. A precision pruning strategy for improving efficiency of vibratory mechanical harvesting of apples. Transactions of the ASABE. 61(5): 1565-1576.

Ma, S., Karkee, M., Han, F., Sun, Q., & Zhang, Q.  (2018). Evaluation of shake-and-catch mechanism in mechanical harvesting of apples. Transactions of the ASABE, 61(4): 1257-1263.

Khanal, K., S. Bhusal, M. Karkee, Q. Zhang. 2018. Raspberry Primocane Bundling and Taping Mechanisms. Transactions of the ASABE. 61(4): 1265-1274.

Ma, S., M. Karkee#, P. Scharf, and Q. Zhang. Adaptability of Chopper Harvester in Harvesting Sugarcane, Energy Cane, and Banagrass. Transactions of the ASABE, 61(1): 27-35.

He, L., M. Karkee#, Q. Zhang. 2018. Evaluation of a localized shake-and-catch harvesting system for fresh market apples. Agricultural Engineering International: CIGR Journal, 19(4), pp.36-44.

Ma, S., P. Scharf, M. Karkee, Q. Zhang, J. Tong, and L. Yu. 2017. A Study on the Effects of Harvester Off-track Errors on Stubble Losses. Applied Engineering in Agriculture. 33(6): 771-779.

Amatya, S., Karkee, M., Zhang, Q. and Whiting, M.D., 2017. Automated Detection of Branch Shaking Locations for Robotic Cherry Harvesting Using Machine Vision. Robotics, 6(4), p.31

Gasch, C.K., D.J. Brown, C.S. Campbell, D.R. Cobos, E.S. Brooks, M. Chahal, M. Poggio, and D.R. Huggins, 2017. A field-scale sensor network data set for monitoring and modeling the spatial and temporal variation of soil water content in a dryland agricultural field. Water Resources Research. 53: 10878-10887. DOI: 10.1002/2017WR021307

WEST VIRGINIA

2018. A. Dias, A. Tabb and H. Medeiros, “Multispecies Fruit Flower Detection Using a Re_ned Semantic Segmentation Network," in IEEE Robotics and Automation Letters, vol. 3, no. 4, pp. 3003-3010, Oct. 2018.

2018. A. Hollender, P. Thierry, A. Tabb, T. Hadiarto, C. Srinivasan, W. Wang, Z. Liu, R. Scorza, and C. Dardick, \Loss of a highly conserved sterile alpha motif domain gene (WEEP) results in pendulous branch growth in peach trees," Proceedings of the National Academy of Sciences, vol. 115, no. 20, pp. E4690- E4699, 2018.

2018. A. Hollender, J. M. Waite, A. Tabb, D. Raines, S. Chinnithambi, and C. Dardick, “Alteration of TAC1 expression in Prunus species leads to pleiotropic shoot phenotypes," Horticulture Research, vol. 5, no. 1, p. 26, May 2018.

2018. A. Dias, A. Tabb, and H. Medeiros, Apple flower detection using deep convolutional networks," Computers in Industry, vol. 99, pp. 17-28, Aug. 2018.

2018. Tabb and H. Medeiros, “Automatic segmentation of trees in dynamic outdoor environments," Computers in Industry, vol. 98, pp. 90-99, Jun. 2018.

Peer-reviewed conferences:

1943. Tabb and H. Medeiros, “Fast and Robust Curve Skeletonization for Real-World Elongated Objects," in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 1935-1943.

595. Tabb, K. E. Duncan and C. N. Topp, “Segmenting Root Systems in X-Ray Computed Tomography Images Using Level Sets," in 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 586-595.

Software releases:

2017. Tabb. 2017. Code from: Fast and robust curve skeletonization for real-world elongated objects. Ag Data Commons. 10.15482/USDA.ADC/1399689

Data releases:

P. A. Dias, A. Tabb, H. Medeiros. Multi-species fruit ower detection using a refined semantic segmentation network. Ag Data Commons.10.15482/USDA.ADC/1423466