04/27/2012

Andrade-Sanchez P. and Heun J.T. 2012. From GPS to GNSS: Enhanced functionality of GPS-integrated systems in agricultural machines. Bulletin AZ1558. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Andrade-Sanchez P. and Heun J.T. 2011. A general guide to Global Positioning Systems (GPS)  Understanding operational factors for agricultural applications in Arizona. Bulletin AZ1553. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Andrade-Sanchez P. and Heun J.T. 2010. Things to know about applying precision agriculture technologies in Arizona. Bulletin AZ1535. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Bansal, R., W. S. Lee, R. Shankar, and R. Ehsani. 2010. Automated trash estimation in a citrus canopy shake and catch harvester using machine vision. ASABE Paper No. FL10-123. St. Joseph, Mich.: ASABE.

Bansal, R., W. S. Lee and S. Satish. 2011. Green citrus detection using Fast Fourier Transform (FFT) leakage. 8th European Conference on Precision Agriculture (ECPA), July 11-14, 2011, Prague, Czech Republic.

Bansal, R., W. S. Lee, R. Shankar, and R. Ehsani. 2011. Automated debris mass estimation for citrus mechanical harvesting systems using machine vision. Applied Engineering in Agriculture 27(5): 673-685.

Han, Y., W. S. Lee, C. Lee, S. Park, K. Kim, and S. Kim. 2011. Entrapment of Mg-Al layered double hydroxide in calcium alginate beads for phosphate removal from aqueous solution. Desalination and Water Treatment. 36: 178-186.

Jeffrey W. White; P. Andrade-Sanchez; M. A Gore; K. F Bronson; T A Coffelt; M M Conley; K A Feldmann; A N French; J T Heun; D J Hunsaker; M A Jenks; B A Kimball; R L Roth; R J Strand; K R Thorp; G W Wall; G. Wang. 2012. Field-based phenomics for plant genetics research. Field Crops Research (in press).

Jeon H., L. Tian and H. Zhu. 2011. Robust Crop and Weed Segmentation under Uncontrolled Outdoor Illumination. Sensors 2011, 11, 6270-6283; doi: 10.3390 /s110606270

Jones, C. D., J. B. Jones, and W. S. Lee. 2010. Diagnosis of bacterial spot of tomato using spectral signatures. Computers and Electronics in Agriculture 74(2):329-335.

Kumar, A., W. S. Lee, R. Ehsani, L. G. Albrigo, C. Yang, and R. L. Mangan. 2010. Citrus greening disease detection using airborne multispectral and hyperspectral imaging. 10th International Conference on Precision Agriculture. July 18-21, 2010, Hyatt Regency Tech Center, Denver, Colorado.

Kurtulmus, F., W. S. Lee, and A. Vardar. 2011. Green citrus detection using eigenfruit, color and circular Gabor texture features under natural outdoor conditions. Computers and Electronics in Agriculture 78(2): 140-149.

Kurtulmus, F., W. S. Lee, and A. Vardar. 2011. An advanced green citrus detection algorithm using color images and neural networks. 11th International Congress on Mechanization and Energy in Agriculture, Sep. 21-23, 2011, Istanbul, Turkey. Journal of Agricultural Machinery Science, 7(2): 145-151.

Lee, W. S. 2011. Research on auto-guidance system and their commercialization for U. S. agricultural production. Dec. 16, 2011. Seoul National University, Seoul, Korea.

Lee, W. S., V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, and C. Li. 2010. Sensing technologies for precision specialty crop production. Computers and Electronics in Agriculture 74(1): 2-33.

Lee, W. S. 2010. The current situation and R&D trends of agricultural machinery industry in the U.S. First International symposium on the current situation and R&D trends of the world agricultural machinery industries, June 28-30, 2010, Chonbuk National University, Jeonju, Korea.

Li, X., W. S. Lee, M. Li, R. Ehsani, A. Mishra, C. Yang, and R. Mangan. 2011. Comparison of different detection methods for citrus greening disease based on airborne multispectral and hyperspectral imagery. ASABE Paper No. 1110570. St. Joseph, Mich.: ASABE.

Patil, R., W. S. Lee, R. Ehsani, and F. Roka. 2010. Elimination of debris using de-stemmers on a continuous citrus canopy shake and catch harvester. ASABE Paper No. 1008384. St. Joseph, Mich.: ASABE.

Wang, Q., Q. Zhang, F. Rovira-Más, L. Tian. 2011. Stereovision-based lateral offset measurement for vehicle navigation in cultivated stubble fields. Biosystems Engineering. Volume 109, Issue 4, August 2011, Pages 258265

Xiang, H. and L. Tian. 2011. Method for automatic georeferencing aerial remote sensing (RS) images from an unmanned aerial vehicle (UAV) platform. Biosystems Engineering, Volume 108, Issue 2, February 2011, Pages 104-113

Xiang, H. and L. Tian. 2011. Development of a low-cost agricultural remote sensing system based on an autonomous unmanned aerial vehicle (UAV). Biosystems Engineering. Volume 108, Issue 2, February 2011, Pages 174190

Xiang, H. and L. Tian. 2011. An automated stand-alone in-field remote sensing system (SIRSS) for in-season crop monitoring Computers and Electronics in Agriculture. Vol. 78 (1), August 2011, Pages 18

Xiong, Y., L. Tian, T. Ahamed, B. Zhao. 2012. Development of the Reconfigurable Data Acquisition Vehicle for Bioenergy Crop Sensing and Management. ASME Journal of Mechanical Design. (Jan, 2012) Vol. 134 / 015001-1-7

Yang, C. and W. S. Lee. 2011. Spectral signatures of blueberry fruits and leaves. ASABE Paper No. 1110582. St. Joseph, Mich.: ASABE.

Zhao, B., L. Tian and T. Ahamed. 2010. Real-Time NDVI Measurement Using a Low-Cost Panchromatic Sensor for a Mobile Robot Platform. Environment Control in Biology, Vol. 48 (2010) No. 2, pp.73-79

Invited Seminars
Using Precision Agriculture technologies to increase the efficiency of mechanized operations in Arizona. Presentation during Brown Bag Seminar Series at the USDA ARS Arid Land Agricultural Research Center (ALARC). Maricopa, AZ 5/16/2011.

Precision agriculture in the US semi-desert. Presentation for the Club of Progressive Farmers. University of California Cooperative Extension Riverside County. Blythe, CA 10/20/2011.

Sensor-based management of cotton in Arizona. Seminar presented for students of Graduate Seminar ABE 696 Department of Agricultural & Biosystems Engineering. Tucson, AZ 11/28/2011.

Applied research and extension in precision agriculture of the United States. Mexican Association of Sugar-cane Producers. Oaxaca, Oaxaca, Mexico 12/7/2011.

Presentations during extension and outreach events
"Using precision guidance to improve mechanical weed control in cotton. Cotton Mid Season Meetings. Coolidge AZ 6/15/11, Ak-Chin AZ 6/23/11, Buckeye 6/28/11 AZ, Marana AZ 7/11/11.

"Using GPS for Pesticide Applications" Cotton Mid Season Meeting. Parker AZ 8/24/11.
"Cotton yield monitors: Available systems, installation and data management" Cotton Late Season Meeting. Buckeye AZ 7/28/11.

"Technical considerations when spraying defoliants in Cotton" Cotton Late Season Meetings. Yuma Agricultural Center. Yuma, AZ, 6/21/11.

Demonstration on cotton yield monitor technology. Maricopa Agricultural Center Annual Field Day. Maricopa AZ 9/29/2011.

05/30/2013

---------------------------------------
Journal/Conference Articles and Posters
---------------------------------------

Kaggwa-Asiimwe R., P. Andrade-Sanchez, G. Wang. 2013. Plant architecture influences growth and yield response of upland cotton to population density. Field Crops Research 145: 52-59

Andrade-Sanchez, P., J.T. Heun, M.A. Gore, A.N. French, E. Carmo-Silva, M.E. Salvucci. 2012. Use of a moving platform for field deployment of plant sensors. ASABE paper number 121337985

Carmo-Silva E.A., M.A. Gore, P. Andrade-Sanchez, A.N. French, D.J. Hunsaker, M.E. Salvucci. 2012. Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field. Environmental and Experimental Botany. 83: 1-11.

Andrade-Sanchez P. and Heun J.T. 2013. Yield monitoring technology for irrigated cotton and grains in Arizona: Hardware and software selection. Bulletin AZ1596. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Wang G., R. K. Asiimwe, and Pedro Andrade. 2011. Growth and yield response to plant population of two cotton varieties with different growth habits. Cotton Research & Outreach 2010-2011 Bulletin AZ1548. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Andrade-Sanchez P. and Heun J.T. 2012. From GPS to GNSS: Enhanced functionality of GPS-integrated systems in agricultural machines. Bulletin AZ1558. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721

Bansal, R., W. S. Lee, and S. Satish. 2012. Green citrus detection using Fast Fourier Transform (FFT) leakage. Precision Agriculture 13(6), DOI: 10.1007/s11119-012-9292-3.

Khosro, F. A., J. M. Maja, R. Ehsani, and W. S. Lee. 2012. An automated tine control for tractor drawn citrus canopy shakers. ASABE Paper No. 12-1337183. ASABE 2012 Annual Meeting, July 29-Aug. 1, 2012, Dallas, Texas.

Kumar, A., W. S. Lee, R. Ehsani, L. G. Albrigo, C. Yang, and R. L. Mangan. 2012. Citrus greening disease detection using aerial hyperspectral and multispectral imaging techniques. Journal of Applied Remote Sensing 6, 063542, http://link.aip.org/link/doi/10.1117/1.JRS.6.063542.

Mason, A. D., R. Schnell, J. Ferrell, J. Sartain, and W. S. Lee. 2012. Comparing grid and directed zone soil sampling schemes for peanut production. ASA, CSSA, and SSSA International Annual Meetings, Oct. 21-24, 2012, Cincinnati, Ohio.

Mishra, A. R., D. Karimi, R. Ehsani and W. S. Lee. 2012. Identification of citrus greening (HLB) using a VIS-NIR spectroscopy technique. Trans. ASABE 55(2): 711-720.

Lee, W. S. 2012. Sensing technologies for precision agriculture: current status and future needs. Proceedings of the 6th International Symposium on Machinery and Mechatronics for Agriculture and Biosystems Engineering (ISMAB), June 18-20, 2012, Jeonju, Korea.

Li, H., W. S. Lee, K. Wang, R. Ehsani, and C. Yang. 2012. Spectral angle mapper (SAM) based citrus greening disease detection using airborne hyperspectral imaging. 11th International Conference on Precision Agriculture, July 15-18, 2012, Indianapolis, Indiana.

Li, X., W. S. Lee, M. Li, R. Ehsani, A. Mishra, C. Yang, and R. L. Mangan. 2012. Spectral difference analysis and airborne imaging classification for citrus greening infected trees. Computers and Electronics in Agriculture 83: 32-46.

Ruslan, R., R. Ehsani, and W. S. Lee. 2012. Quantification of total soluble solids and titratable acidity for citrus maturity using VIS-NIR spectroradiometer. Applied Engineering in Agriculture 28(5): 735-743.

Schueller, J.K. 2012. Another report from 25 years hence. Resource. July-August. 19(4):16-17.

Schueller, J.K. 2012. Integration of mechanical, electrical, and systems engineering in agriculture and food production. Keynote address. International Conference on Agricultural and Food Engineering. Putrajaya, Malaysia. November 26-28.

Sengupta, S., and W. S. Lee. 2012. Identification and determination of the number of green citrus fruit under different ambient light conditions. International Conference of Agricultural Engineering CIGR-AgEng2012, July 8-12, 2012, Valencia, Spain.

Shin, J. S., W. S. Lee, and R. Ehsani. 2012. Machine vision based citrus mass estimation during post-harvesting using supervised machine learning algorithms. Proceedings of the International Symposium of Mechanical Harvesting & Handling Systems of Fruits and Nuts, Lake Alfred, Florida, 1-4 April 2012, Acta Hort, International Society for Horticultural Science.

Shin, J., W. S. Lee, and R. Ehsani. 2012. Postharvest citrus mass and size estimation using logistic classification model and watershed algorithm. Biosystems Engineering 113(1): 42-53.

Yang, C. and W. S. Lee. 2012. Precision agricultural systems. In Agricultural automation: fundamentals and practices. Eds. Q. Zhang and F. J. Pierce. CRC Press. Accepted for publication.

Yang, C. and W. S. Lee. 2012. Blueberry fruit detection by Bayesian classifier and support vector machine based on visible to near-infrared multispectral imaging. ASABE Paper No. 12-1338433. St. Joseph, Mich.: ASABE.

Yang, C., W. S. Lee, and J. G. Williamson. 2012. Classification of blueberry fruit and leaves based on spectral signatures. Biosystems Engineering 113(4): 351-362.

Zheng, L., W. S. Lee, M. Li, A. Katti, C. Yang, and H. Li. 2012. Analysis of soil phosphorus concentration based on Raman spectroscopy. SPIE Asia-Pacific Remote Sensing 2012, Kyoto, Japan, 29 Oct.  1 Nov., 2012.

He, L., X. Du, R. Luo, M. Karkee, Q. Zhang. 2012. A Twining Robot for High Trellis String Tying in Hops Production. The Transactions of ASABE, 55(5): 1167-1673.

Karkee, M., R. McNaull, S. J. Birrell, B. L. Steward. 2012. Estimation of Optimal Biomass Removal Rate Based on Tolerable Soil Erosion for Single-Pass Crop Grain and Biomass Harvesting System. Transactions of the ASABE, 55(1): 107-115.

Abd Aziz, S., B. L. Steward, A. Kaleita, and M. Karkee. Assessing the Effects of DEM Error Uncertainty on Soil Loss Estimation in Agricultural Field. Transactions of the ASABE, 55(3): 785-798.

Monga, M.*, M. Karkee, S. Sun, L. K. Tondehal, B. L. Steward, A. Kelkar, J. Zambreno. 2012. Real-time Simulation of Dynamic Vehicle Models using a High-performance Recon
gurable Platform. International Conference on Computational Science, ICCS 2012, June 4-6, 2012, Ames, IA 50011 USA.

Amatya*, S., M. Karkee, A. K. Alva, P. A. Larbi, B. Adhikari. 2012. Hyperspectral Imaging for Detecting Water Stress in Potatoes. ASABE Paper No. 121345197. St. Joseph, Mich.: ASABE.

He, L., J. Zhou, X. Du, D. Chen, Q. Zhang. M. Karkee. 2012. Shaking Energy Delivery on Sweet Cherry Trees in Different Excitation Models. ASABE Paper No. 12-1337766. St. Joseph, Mich.: ASABE.

Zhou, J. L. He, X. Du, D. Chen, Q. Zhang, M. Karkee. 2012. Dynamic Response of Sweet Cherry Tree to the Vibration of a Limb Shaker. ASABE Paper No. 12-1337429. St. Joseph, Mich.: ASABE.

Hashimoto, A., J. Arnold, J. Ayars, S. Crow, T. Eggeman, L. Jakeway, M. Karkee, S. Khanal, J. Kiniry, J. Matsunaga, G. Murthy, M. Nakahata, R. Ogoshi, B. Turano, S. Turn, J. Yanagida, Q. Zhang. 2012. High-Yield Tropical Biomass for Advanced Biofuels. Sun Grant Initiative National Conference, New Orleans, LA; Oct 2-5, 2012.

Karkee, M., B. Steward, and J. Kruckeberg. 2013. Automation of Pesticide Application Systems. In Agricultural Automation: Fundamentals and Practices (Q. Zhang and F. Pierce editors; ISBN: 9781439880579). CRC Press: Boca Raton, Florida, USA. In Press.

Karkee, M. and Q. Zhang. 2012. Mechanization and Automation Technologies in Specialty Crop Production. Invited Article, ASABE Resource Magazine, Sep/Oct 2012: 16-17.

Amatya, S.*, M. Karkee, 2012. Nitrogen stress detection for potato using hyperspectral imaging. 2013 ASABE International Meeting, Abstract No. 1589210.

Ma, Shaochun*, M. Karkee, and Q. Zhang. 2012. Sugarcane Harvesting System-A Critical Review. 2013 ASABE International Meeting, Abstract No. 1574361.

Gongal. A*, B. Adhikari, S. Amatya, M. Karkee, Q. Zhang and K. Lewis, 2012. 3D Machine Vision for Improved Apple Crop Load Estimation. CPAAS 2nd Tech Expo. Oct 2,2012, Wenatchee ,WA.
Gongal. A*, B. Adhikari, S. Amatya, M. Karkee, Q. Zhang and K. Lewis, 2012. 3D Machine Vision for Improved Apple Crop Load Estimation. 108th WSHA Annual Meeting, Poster Session. Dec 3  5, 2012, Yakima, WA.

Gongal. A*, S. Amatya, and M. Karkee, 2012. Over-the-row Machine Vision for Improved Apple Crop Load Estimation. 2013 ASABE International Meeting.

Sharda A., M. Karkee and Q. Zhang. Pressure dynamics in solid set canopy spray application system for tree fruit orchards. Washington State Horticultural Association 108th Annual Meeting and Trade Show, Yakima, WA. December 3-5, 2012.

Sharda A., M. Karkee, Q. Zhang and I. Ewlanow. Effect of nozzle type, location and orientation around tree canopy on product coverage for solid set canopy delivery system. Washington State Horticultural Association 108th Annual Meeting and Trade Show, Yakima, WA. December 3-5, 2012.

De Kleine, M.E., M. Karkee. 2012. A non-Newtonian Shear Thickening Surface for Fruit Impact Bruising Evaluation. 108th WSHA Annual Meeting. Dec 3-5, 2012, Yakima, WA.

De Kleine, M.E., M. Karkee, K. Lewis, Q. Zhang. 2012. Apple Harvesting Techniques. 108th WSHA Annual Meeting. Dec 3-5, 2012, Yakima, WA.

Larbi, P.A.*, M. Karkee, S. Amatya, M. De Kleine, Q. Zhang, and M.D. Whiting. 2012. Modification and Testing of an Experimental Sweet Cherry Harvester. 108th WSHA Annual Meeting, Poster Session. Dec 3  5, 2012, Yakima, WA.

Larbi, P.A.*, M. Karkee, and Ines Hanrahan. 2012. Prospective of Hyperspectral Imaging Techniques for Predicting Chilling Injury Incidence in Honeycrisp" Apples. 108th WSHA Annual Meeting, Poster Session. Dec 3  5, 2012, Yakima, WA.

Larbi, P.A.*, S. Amatya, and M. Karkee, and Ines Hanrahan. 2012. Characterizing the Response of a Hyperspectral Camera Used in Close Range Imaging under Laboratory Conditions. 2013 ASABE International Meeting, Abstract No. 1594789.

Adhikari*, B., M. Karkee. 2012. 3D Reconstruction of Apple Trees for Mechanical Pruning. WSU Academic Showcase, March 30, 2012, Pullman, WA.

Roberts, D.F., R.B. Ferguson, N.R. Kitchen, V.I. Adamchuk, and J.F. Shanahan. 2012. Relationships between soil-based management zones and canopy sensing for corn nitrogen management. Agron. J. 104:119-129.

Adamchuk, V.I., A.S. Mat Su, R.A. Eigenberg, and R.B. Ferguson. 2011. Development of an angular scanning system for sensing vertical profiles of soil electrical conductivity. Trans. of the ASABE 54(3):1-11.

Shiratsuchi, L., R. Ferguson, J. Shanahan, V. Adamchuk, D. Rundquist, D. Marx and G. Slater. 2011. Water and nitrogen effects on active canopy sensor vegetation indices. Agron. J. 103:1815-1826.

Adamchuk, V., L. Shiratsuchi, C. Lutz, R. Ferguson. 2012. Integrated crop canopy sensing system for spatial analysis of in-season crop performance. In: Proceedings of the Eleventh International Conference on Precision Agriculture, International Society of Precision Agriculture, July 15-18, 2012, Indianapolis, IN. (CD publication).

Ferguson, R., T. Shaver, N. Ward, S. Irmak, S. Van Donk, D. Rudnick, B. Wienhold, M. Schmer, V. Jin, D. Francis, V. Adamchuk, L. Hendrickson. 2012. Landscape influences on soil nitrogen supply and water holding capacity for irrigated corn. . In: Proceedings of the Eleventh International Conference on Precision Agriculture, International Society of Precision Agriculture, July 15-18, 2012, Indianapolis, IN. (CD publication).

Pan L., V. Adamchuk, R. Ferguson. 2012. An approach to selection of soil water content monitoring locations within fields. In: Proceedings of the Eleventh International Conference on Precision Agriculture, International Society of Precision Agriculture, July 15-18, 2012, Indianapolis, IN. (CD publication).


----------------
Invited Seminars
----------------

Pedro Andrade, Using mobile platforms for continuous data acquisition of plant traits. Presentation during Brown Bag Seminar Series at the USDA ARS Arid Land Agricultural Research Center (ALARC). Presented in Maricopa, AZ on 4/23/2012.

Pedro Andrade, Use of proximal sensing in Pecan. Presentation during the 13th International Symposium of Pecan (XIII SIMPOSIO INTERNACIONAL DE NOGAL PECANERO). Presented at Hermosillo, Sonora, Mexico on 9/13/2012

Soil compaction in Medjool dates and its effect on root growth and fruit yield. Presentation at the Yuma Ag Summit on results of research in soil compaction in palm date production Presented at Yuma, AZ on 3/8/2012.

Agronomic professional development refresher: Tillage and ground preparation. Presentation at the Yuma Ag Summit on new developments on GPS-based tractor/implement technology for land leveling and ground preparation Presented at Yuma, AZ on 3/8/2012.

Pedro Andrade, Using GPS to mark the location for planting new trees. Presentation at the Arizona Pecan Growers Association Annual Meeting on the use of GPS systems w/advanced algorithms for navigation inside the orchard with auto-steering platforms Presented at Tucson, AZ on 9/21/2012.

Pedro Andrade, Early season (cotton) talks to cover the topics of sofware updates and hardware upgrades. Goodyear AZ (1/26/12), Mesa AZ (1/27/12), Safford AZ (2/17/12), Maricopa AZ (2/20/12), Parker AZ (2/22&28/12), and Coolidge AZ (2/29).

Pedro Andrade, Cotton mid-season talks to talk about close cultivation for weed control and GPS-based rate controllers for chemical applications: San-Tan AZ (6/21/12), Maricopa (6/27/12), Goodyear AZ (6/28/12), and Marana AZ (7/12/12).

Pedro Andrade, Cotton late season talks about yield monitors systems and data management. Goodyear AZ (9/05/12), Casa Grande AZ (9/19/12), and Marana AZ (9/20/12).

Pedro Andrade, Central Arizona College - Signal Peak Campus. Students from the Engineering Technology Division enrolled in the John Deere Tech Certificate Program visited UA-MAC on 4/19/12 to receive a demonstration on auto-steer with tractor simulator.

Pedro Andrade, Chapingo University (Mexico) - Texcoco Campus. Students from the Irrigation Dept. visited UA-MAC on 10/31/12 to experience field demonstration on advanced technology in irrigated cotton production.

Pedro Andrade, University of Arizona Desert Ag Ventures Program. Presentation and demonstration to Winter visitors on the use of advanced technology for farm production in Arizona. Maricopa Agricultural Center, 2/21&23/2012.

Pedro Andrade, Maricopa Agricultural Center. Demonstration on the use of yield monitor data and management software to create prescription files for Nitrogen application. Audience included growers, applicators, pest-control advisors, and agriculture students from Arizona and Mexico.

USDA-ARS-ALARC and UA-MAC. 2012 Farm Day. Community and stakeholder outreach event in Maricopa, AZ. Coordinated auto-steer tractor rides and demonstration of advanced technology for input application. The event was attended by about 600 people from surrounding communities.

Delegation of Chinese Officers from water conservancy - USDA-MOST flagship project on water saving irrigation. Presentation on MAC Extension program on precision agriculture.

--------------------------
Workshops and other events
--------------------------

University of Arizona, Use of COTMAN plant mapping Sofware. The instructors included Dr. Tina Teague, Dr. Derrick Oosterhuis, and Dr. Dan Fromme. Maricopa Agricultural Center, May 8, 2012. Event sponsored by Cotton Inc.

University of Arizona, Minimizing pesticide spray drift with advanced nozzle selection (with Bill McCloskey, Weed Specialist - UA). Southwest Ag Summit. Yuma AZ, March 8, 2012

University of Arizona, EPA - Worker protection standard training. Chemical (pesticide) handler safety training. Maricopa, AZ, 3/29/2012.

University of Arizona, 2012 Annual Meeting of Multistate project NIMSS NCERA-180 Site-Specific Management. The event took place in Maricopa AZ on 3/28-30.

Manoj Karkee, Automation and Mechanization Research for Specialty Crops (Invited Talk) - Annual Hermiston Farm Fair and Trade Show, Hermiston, OR; Nov 29, 2012.
Pruning Branch Identification for Automated Pruning of Apple Trees (Invited Talk) - Specialty crop engineering solutions workshop, Pittsburg, PA; Nov 28, 2012.

Manoj Karkee, Agricultural Automation Research at WSU (Invited Seminar) University Putra Malaysia, Selangor, Malaysia, June 29th, 2012
Agricultural Automation Research at WSU (Invited Seminar)  TU, Engineering Campus, Dharan, Nepal, June 25th, 2012

Manoj Karkee, Precision Agriculture in Specialty Crops: Accomplishments, Challenges and Future Direction. First International Precision Agriculture Forum, Richland, WA, March 15-16, 2012.

Media articles
Andrade-Sanchez, P., M. Gore, J. White, and A. French. 2012. Information technologies for field-based high-throughput phenotyping. Thorp K., Information technologies for field-based high-throughput phenotyping. Published in Resource: Engineering & Technology for a Sustainable World Vol. 19(5): 8-9 ASABE

09/18/2014

Andrade-Sanchez P., M.A. Gore, J.T. Heun, K.R. Thorp, A.E. Carmo-Silva, A.N. French, M.E. Salvucci, and J.W. White. 2013. Development and evaluation of a field-based high-throughput phenotyping platform. Functional Plant Biology 41(1) 68-79.


Andrade-Sanchez P. and Heun J.T. 2013. Operation of yield monitors in Central Arizona: Grains and cotton. Bulletin AZ1598. The University of Arizona - Cooperative Extension. Tucson, Arizona 85721


Andrade-Sanchez P. and J.T. Heun. 2013. Sensor-based estimation of cotton plant height: Potential for site-specific plant growth management. Paper No. 131668472. ASABE Annual Int. Meetng.


Balasundram, S.K, H. Memarian, and R. Khosla. 2013. Estimating Oil Palm Yields Using Vegetation indicesDerived from Quickbird. Life Sciences Journal 10(4) 851-860.


Balasundram, S.K, H. Memarian, M.Y. Hakimah, L. Osmund, S. Nini and R. Khosla. 2013. Comparison between Pixel-based and Object-based Image Classification of a Tropical Landscape using SPOT-5 Imagery. J. Appl. Remote Sens. 7(1), 073512 (Aug 28, 2013). doi:10.1117/1.JRS.7.073512


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.


Cao, Q., Y. Miao, H. Wang, S. Huang, S. Cheng, R. Khosla and R. Jiang. 2013. Non-destructive estimation of rice plant nitrogen status with Crop Circle multispectral active canopy sensor. Field Crops Research. 154:133-144


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.


Crawford, K., J. Roach, R. Dhillon, F. Rojo., and S. K. Upadhyaya. 2014. An inexpensive aerial platform for precise remote sensing of almond and walnut canopy temperature. A paper presented at the 12th International Conference on Precision Agriculture in Sacramento, CA, USA. July 20-23.


Dhillon, R., V. Udompetaikul, F. Rojo, S. Upadhyaya, J. Roach, and D. Slaughter, B. Lampinen, K. Shackel. 2014. Detection of plant water stress using leaf temperature and microclimatic measurements in almond, walnut, and grape crops. Transaction of the ASABE (In press).


Dhillon, R. S., F. Rojo, J. Roach, and S. Upadhyaya. 2014. Handheld sensor suite for plant water status measurements and a comparison of different techniques to measure canopy temperature in orchard crops. ASABE paper 141893976. ASABE St. Joseph, MI 49085.


Dhillon, R., F. Rojo., J. Roach., R. Coates, S. K. Upadhyaya, M. Delwiche, and C. Han. 2014. Development and evaluation of a leaf monitoring systemfor continuous measurement of plant water status in almond and walnut crops. A paper presented at the 12th International Conference on Precision Agriculture in Sacramento, CA, USA. July 20-23.


Eduardo, Claudio, R. Khosla, and R. Reich. 2013. Interpolation type and data computation of crop yield maps is important for precision crop production. J. of Plant Nut. Soil Analysis. (Accepted in Press).


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


He, L., J. Zhou, X. Du, D. Chen, Q. Zhang, and M. Karkee. 2013. Energy Efficacy Analysis of a Mechanical Shaker in Sweet Cherry Harvest. Biosystems Engineering, 116(4): 309-315.


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.


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.


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.


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.


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.


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.


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.


Lo, T.H., L. Mateos, D.M. Heeren, and J.D. Luck. 2014. The applicability of VRI for managing variability in infiltration capacity and plant-available water: a preliminary discussion and GIS study. Paper No. 1897710 in Proc. of the 2014 ASABE International Meeting, July 13-16, Montreal, Quebec, Canada.


Longchamps, L., and R. Khosla. 2014. Early detection of nitrogen variability in maize (Zea mays L.) using fluorescence. Agron. J Vol. 106 No. 2, p. 511-518.


Longchamps, L., R. Khosla and D.G Westfall. 2013. Can fluorescence based sensing detect nitrogen deficiency at early growth stages of maize? In Precision Agriculture. J. Stafford (ed) Wageningen Academic Publishers. The Netherlands.


Marx, S.A. and J.D. Luck. 2014. Assessing Accuracy of Machine CAN Bus Data using SAE J1939 and Nebraska Tractor Test Laboratory Data. Paper No. 1897599 in Proc. of the 2014 ASABE International Meeting, July 13-16, Montreal, Quebec, Canada.


Miller, K.A., T.H. Lo, J.D. Luck, and D.M. Heeren. 2014. Combining Site Specific Data with Geospatial Analysis to Identify Variable Rate Irrigation Opportunities in Irrigated Agricultural Fields. Paper No. 1896808 in Proc. of the 2014 ASABE International Meeting, July 13-16, Montreal, Quebec, Canada.
Moshia, M.E., R. Khosla, D.G. Westfall, J.G. Davis, R. Reich and L. Longchamps. 2014. Precision Manure Management across Site-Specific Management Zones: Grain Yield and Economic Analysis. Agron J. (Accepted: In Press).


Moshia, M.E., R. Khosla, D.G. Westfall, J.G. Davis, R. Reich and L. Longchamps. 2014. Precision Manure Management across Site-Specific Management Zones: Nitrogen Mineralization Rates. J. of Plant Nut. Soil Analysis. (Accepted: In Press).


Moshia, M.E., R. Khosla, D.G. Westfall, J.G. Davis, R. Reich and L. Longchamps. 2014. Precision Manure Management across Site-Specific Management Zones: Soil Quality. Commun. In Plant Sci and Anal. (Accepted: In Press).


Pan, L., Adamchuk, V.I., Ferguson, R.B., Dutilleul, P.R.L. and Prasher, S.O. (2014) Analysis of Water Stress Prediction Quality as Influenced by the Number and Placement of Temporal Soil-Water Monitoring Sites. Journal of Water Resource and Protection, 6:961-971.


Patil, V.C., Khalid A. Al-Gaadi, Rangaswamy Madugundu, ElKamil H.M. Tola, Samy A. Marey, A.M. Al-Omran, R. Khosla, S. K. Upadhyaya, David J. Mulla and Ali Al-Dosari. 2014. Delineation of Management Zones and Response of Spring Wheat (Triticum aestivum L.) to Irrigation and Nutrient Levels in Saudi Arabia. International J. of Agri. Biol. 1560–8530; ISSN Online: 1814–959613–035/2014/16–1–104–110.


Peter J.A. Kleinman, Anthony R. Buda, Andrew N. Sharpley and Raj Khosla. 2014. Elements of Precision Manure Management. In Precision Conservation. J. Delgado (ed) In press. [Book Chapter]


Pitla, S.K., J.D. Luck, and S.A. Shearer. 2014. Multi robot system control architecture (MRSCA) for agricultural mobile robots. In Proc. of the 2014 RHEA Conference, May 21-23, Madrid, Spain.


Pitla, S.K., S.A. Shearer, J.D. Luck, N. Lin, B.A Schroeder, and A.A. Klopfenstein. 2013 Work and Load Performance Profiles for Agricultural Field Machinery. Proc. of the 71st International Conference on Agricultural Engineering 2013, Hannover, Germany.


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.


Qiang Cao, Yuxin Miao, Guohui Feng, Xiaowei Gao, Fei Li, Bin Liu, Shanchao Yue, Shanshan Cheng, R. Khosla, and Susan L. Ustin. 2014. Active canopy sensing of winter wheat nitrogen status: an evaluation of two sensor systems. J. of Comp. Ag. (Accepted: In Press)


Reich, R., A. Mohammed, R. Khosla, C. Aguirre-Bravo and M. Mendoza. 2014. Influence of Climatic Conditions, Topography and Soil Attributes on the Spatial Distribution of Site Productivity Index of the Species Rich Forests of Jalisco, Mexico. J. of Forestry Research 25 (1) 87-95.

Rojo, F., R. Dhillon, S. Upadhyaya, B. Jenkins., B. Lampinen, J. Roach, K. Crawford, and S. Metcalf. 2014. Modeling canopy light interception for estimating yield in almond and walnut trees. A paper presented at the 12th International Conference on Precision Agriculture in Sacramento, CA, USA. July 20-23.


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.


Sharda, A., J.D. Luck, J.P. Fulton, T.P. McDonald, and S.A. Shearer. 2013. Field application uniformity and accuracy of two rate control systems with automatic section capabilities on agricultural sprayers. Precision Agric. 14(3): 307-322.


Shaver, T.M., R. Khosla, and D.G. Westfall. 2014. Evaluation of two crop canopy sensors for nitrogen recommendations in irrigated maize. Journal of Plant Nutrition. Vol 37:406-419.


Wang, H., Y. Miao, G. Zhao, Y. Yao, and R. Khosla. 2013. Evaluating different integrated precision rice management strategies in Northeast China. In Precision Agriculture. J. Stafford (ed) Wageningen Academic Publishers. The Netherlands.


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.


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.


Zandonadi, R.S., J.D., Luck, T.S. Stombaugh, and S.A. Shearer. 2013. Evaluating field shape descriptors for estimating off-target application area in agricultural fields. Computers Electronics Agric. 96: 217-226.


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

10/02/2015

Chung, S., Sudduth, K.A., Drummond, S.T., Kitchen, N.R. 2014. Spatial variability of soil properties using nested variograms at multiple scales. Journal of Biosystems Engineering. 39(4):377-388.

Sudduth, K.A., Kim, H.J., Motavalli, P.P. 2014. Soil. In: Moretto, L., Kalcher, K. editors. Environmental Analysis by Electrochemical Sensors and Biosensors, Vol. 1: Fundamentals. New York, NY: Springer. p. 23-61.

Yang, W., Wikle, C.K., Holan, S.H., Myers, D.B., Sudduth, K.A. 2015. Bayesian analysis of spatially-dependent functional responses with spatially-dependent multi-dimensional functional predictors. Statistica Sinica. 25:205-223.

Veum, K.S., Sudduth, K.A., Kremer, R.J., Kitchen, N.R. 2015. Estimating a soil quality index with VNIR reflectance spectroscopy. Soil Science Society of America Journal. 79:637-649.

Wikle, C.K., Holan, S.H., Sudduth, K.A., Myers, D. 2014. Soil property estimation and design for agroecosystem management using hierarchical geospatial functional data models. Journal of the Indian Society of Agricultural Statistics. 68(2):203-216.

Vories, E.D., Jones, A., Sudduth, K.A., Drummond, S.T., Benson, R. 2014. Sensing nitrogen requirements for irrigated and rainfed cotton. Applied Engineering in Agriculture. 30(5):707-716.

Vories, E.D., Stevens, G., Sudduth, K.A., Drummond, S.T., Benson, R. 2015. Impact of soil variability on irrigated and rainfed cotton. Journal of Cotton Science. 19(1):1-14.

Khedher Agha, M. K., W. S. Lee, R. A. Bucklin, A. A. Teixeira, and A. R. Blount. 2014. Sorption isotherms for triticale seed. Trans. ASABE 57(3): 901-904.

Kurtulmus, F., W. S. Lee, and A. Vardar. 2014. Immature peach detection in colour images acquired in natural illumination conditions using statistical classifiers and neural network. Precision Agriculture 15: 57-79. http://dx.doi.org/10.1007/s11119-013-9323-8.

Lee, W. S., and R. Ehsani. 2014. Sensing systems for precision agriculture in Florida. Computers and Electronics in Agriculture. doi:10.1016/j.compag.2014.11.005.

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. http://dx.doi.org/10.1007/s11119-013-9325-6.

Li, H., W. S. Lee, and K. Wang. 2014. Identifying blueberry fruit of different growth stages using natural outdoor color images. Computers and Electronics in Agriculture 106: 91-101.

Ma, H., H. Ji, and W. S. Lee. 2014. Detection of citrus greening based on VIS-NIR spectroscopy and spectral feature analysis. Spectroscopy and spectral analysis 34(10): 2713-2718.

Pourreza, A. W. S. Lee, E. Raveh, R. Ehsani, and E. Etxeberria. 2014. Citrus Huanglongbing detection using narrow band imaging and polarized illumination. Trans. ASABE 57(1): 259-272.

Sengupta, S., and W. S. Lee. 2014. Identification and determination of the number of immature green citrus fruit under different ambient light conditions. Biosystems Engineering 117: 51-61. http://dx.doi.org/10.1016/j.biosystemseng.2013.07.007.

Yang, C., W. S. Lee, and P. Gader. 2014. Hyperspectral band selection for detecting different blueberry fruit maturity stages. Computers and Electronics in Agriculture 109: 23-31.

Pourreza, A., W. S. Lee, R. Ehsani, J. K. Schueller, and E. Raveh. 2015. An optimum method for real-time in-field detection of Huanglongbing disease using a vision sensor. Computers and Electronics in Agriculture 110: 221-232.

Pourreza, A., W. S. Lee, E. Etxeberria, and A. Banerjee. 2015. An evaluation of a vision based sensor performance in Huanglongbing disease identification. Biosystems Engineering 130: 13-22.

Kweon, G., E. D. Lund, C. Maxton, W. S. Lee, and D. B. Mengel. 2015. Comparison of soil phosphorus measurements. Trans ASABE 58(2): 405-414

Li, X., W. S. Lee, M. Li, R. Ehsani, A. R. Mishra, C. Yang, and R. L. Mangan. 2015. Feasibility study on Huanglongbing (citrus greening) detection based on WorldView-2 satellite imagery. Biosystems Engineering 132: 28-38.

Choi, D., W. S. Lee, C. Yang, R. Ehsani, and F. Roka. 2014. Post-harvest quality evaluation system on conveyor belt for mechanically harvested citrus. 12th International Conference on Precision Agriculture. July 20-23, 2014, Hyatt Regency, Sacramento, California.

Pourreza, A., and W. S. Lee. 2014. Effect of starch accumulation in Huanglongbing symptomatic leaves on reflecting polarized light. 12th International Conference on Precision Agriculture. July 20-23, 2014, Hyatt Regency, Sacramento, California.

Chen, Y., and W. S. Lee. 2014. Identification and Determination of the Number of Overlapping Citrus Fruit in Natural Outdoor Conditions. ASABE Paper No. 1903766. St. Joseph, Mich.: ASABE.

Choi, D., W. S. Lee, R. Ehsani, and F. Roka. 2014. Estimation of Prematurely Dropped Citrus Count on the Ground before Harvesting. ASABE Paper No. 1892107. St. Joseph, Mich.: ASABE.

Ni, Z., T. F. Burks, and W. S. Lee. 2014. 3D Reconstruction of Plant/Tree Canopy from Multiple Views Using Machine Vision. ASABE Paper No. 1893190. St. Joseph, Mich.: ASABE.

Pourreza, A., W. S. Lee, and R. Ehsani. 2014. A vision based sensor for Huanglongbing disease detection under a simulated field condition. ASABE Paper No. 1900251. St. Joseph, Mich.: ASABE.

Pourreza, A., and W. S. Lee, and E. Etxeberria. 2014. Rapid in-field diagnosis of Huanglongbing disease using computer vision. Paper presented at the 127th Florida State Horticultural Society Annual Meeting, Clearwater, Florida, USA, June 1-3, 2014.

Vyasaraja, S. and W. S. Lee. 2014. Laser weeding system for elimination of in-row weeds: new hardware system. The 5th International Workshop: Applications of Computer Image Analysis and Spectroscopy in Agriculture to be held on July 12-13, 2014 in Montreal, Quebec, Canada.

Zhao, C., W. S. Lee, and D. He. 2014. Immature green citrus detection by multiple features using machine vision. ASABE Paper No. 1911329. St. Joseph, Mich.: ASABE.

Marx, S.E.1, J.D. Luck, R.M. Hoy, S.K. Pitla, M.J. Darr, and E. Blankenship. Validation of machine CAN Bus J1939 fuel rate accuracy using Nebraska Tractor Test Laboratory fuel rate data. Computers Electronics Agric. (accepted, in press).

Luck, J.D., J.P. Fulton, and J. Rees. Hands-on precision agriculture data management workshops for producers and industry professionals: Development and Assessment. J. Extension. 53(4). DOI: http://www.joe.org/joe/2015august/tt10.php

Sama, M.P., J.D. Luck, and T.S. Stombaugh. 2015. Scalable control architecture for variable-rate turn compensation. App. Eng. Agric. 31(3): 425-435.

Pitla, S.K., L. Nin, J.D. Luck, and S.A. Shearer. 2015. Use of controller area network (CAN) data to determine field efficiencies of agricultural machinery. App. Eng. Agric. 30(6): 829-839.

Ferguson, Richard B. 2015. Groundwater quality and nitrogen use efficiency in Nebraska’s Central Platte River Valley. Journal of Environmental Quality doi:10.2134/jeq2014.02.0085.

Krienke, B., R. Ferguson, B. Maharjan. 2015. Using an unmanned aerial vehicle to evaluate nitrogen availability and distance effect with an active crop canopy sensor. In J. Stafford (ed.): Precision Agriculture ’15, Proceedings of the 10th European Conference on Precision Agriculture, Tel Aviv, Israel, 12-16 July 2015.

Pan, L., Adamchuk, V.I., Ferguson, R.B., Dutilleul, P.R.L. and Prasher, S.O. 2014. Analysis of Water Stress Prediction Quality as Influenced by the Number and Placement of Temporal Soil-Water Monitoring Sites. Journal of Water Resource and Protection, 6:961-971.

Luck, J.D. and J.P. Fulton. 2014. Best Management Practices for Collecting Accurate Yield Data and Avoiding Errors during Harvest. Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, EC-2004.

Luck, J.D., J.P. Fulton, and N.M. Mueller. 2015. Improving Yield Map Quality by Reducing Errors through Yield Data File Post-Processing. Institute of Agriculture and Natural Resources, University of Nebraska-Lincoln, EC-2005.

Luck, J.D. 2014. Understanding the Benefits and Limitations of Current Pesticide Application Field Equipment. In Proceedings of the 2014 University of Nebraska-Lincoln Crop Production Clinics.

Amatya, S., M. Karkee, A. K. Alva, P. A. Larbi, and B. Adhikari. 2014. Hyperspectral Imaging for Detecting Water Stress in Potatoes. GSTF Journal on Agricultural Engineering, 1(1): 52-61.

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

Karkee, M., B. Adhikari, S. Amatya, and Q. Zhang. 2014. Identification of Pruning Branches in Tall Spindle Apple Trees for Automated Pruning. Computers and Electronics in Agriculture, 103:127-135.

Larbi, P. A., and M. Karkee. 2014. Effects of Orchard Characteristics and Operator Performance on Harvesting Rate of a Mechanical Sweet Cherry Harvester. GSTF Journal on Agricultural Engineering, 1(1): 1-11.

Sharda, A., M. Karkee, Q. Zhang, J. Brunner, I. Ewlanow, and U. Adameit. 2014. Effect of emitter type and mounting configuration on spray coverage for Solid Set Canopy Delivery Systems. Computers and Electronics in Agriculture, 112: 184-192.

Silwal, A., A. Gongal, and M. Karkee. 2014. Apple identification in field environment with over the row machine vision system. Agricultural Engineering International: CIGR Journal, 16(4): 66-75.

Zhou, J., L. He, Q. Zhang, and M. Karkee. 2014. Effect of Excitation Position of a Handheld Shaker on Fruit Removal Efficiency and Damage in Mechanical Harvesting of Sweet Cherry. Biosystems Engineering, 125:36-44.

Gongal, A., S. Amatya, M. Karkee*, Q. Zhang, and K. Lewis. 2014. Identification of Repetitive Apples for Improved Crop-Load Estimation with Dual-Side Imaging. Proceedings of The 19th World Congress of the International Federation of Automatic Control; 24-29 August 2014; Cape Town, South Africa.

Ma, S., P. Scharf, M. Karkee, Q. Zhang, J. Tong, and L. Yu. 2014. Effects of Off-Track Errors of a Sugarcane Harvester On Stubble Height and Weight. Proceedings of the 6th Automation Technology for Off-road Equipment Conference (ATOE),15-19 September 2014, Beijing, China.

Silwal, A., A. Gongal, and M. Karkee. 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 2014, Beijing, China.

Sharda, A., D. Mangus, M. Karkee, and Q. Zhang. 2014. Effect Of Time Of Application On Spray Coverage Using Solid Set Canopy Delivery System. Proceedings of 12th International Conference on Precision Agriculture; July 20-23, Sacramento, CA.

De Kleine, M.E., M. Karkee, K. Lewis, and Q. Zhang. 2014. A Dual Motor Actuator used to Detach Fruit by Shaking Limbs of Fruit Trees. Proceedings of 12th International Conference on Precision Agriculture; July 20-23, Sacramento, CA.

Gongal, A., S. Amatya, and M. Karkee. 2014. Identification of Repetitive Apples for Improved Crop-Load Estimation with Dual-Side Imaging. ASABE Paper No.141888882. St. Joseph, Mich.: ASABE.

Tong, J., Q. Zhang, M. Karkee, H. Jiang, and J. Zhou. 2014. Understanding the Dynamics of Hand Picking Patterns of Fresh Market Apples. ASABE Paper No.141898024. St. Joseph, Mich.: ASABE.

De Kleine, M. E., M. Karkee, K. Lewis, and Q. Zhang. 2014. An End Effector Concept for Removing Fresh-Market Apples from a Tree Limb. ASABE Paper No.141906284. St. Joseph, Mich.: ASABE.

Larbi, P. A., M. Karkee, S. Amatya, Q. Zhang, and M. D. Whiting. 2014. Field Evaluation of a Modified Mechanical Sweet Cherry Harvester. ASABE Paper No.141896871. St. Joseph, Mich.: ASABE.

Sharda, A., J.P. Fulton, and T.P. McDonald. 2015. Impact of control system response characteristics on nozzle flow stabilization during simulated field scenarios. Computers and Electronics in Agriculture. 112(2015): 139-148. (doi: http://dx.doi.org/10.1016/j.compag.2014.11.001).

Torino, M.S., B.V. Ortiz, J.P. Fulton, K.S. Balkcom, and C.W. Wood. 2014. Evaluation of vegetation indices for early assessment of corn status and yield potential in Southeastern U.S. Agronomy Journal. 106(4): 1389-1401.

Virk, S.S., A. Poncet, J.P. Fulton, K.S. Balkcom, B. Ortiz, T.P. McDonald, and G.L. Pate. 2014. Row-Crop Planter Requirements to Support Variable-rate Seeding of Maize. In Proceedings of the 12th International Conference on Precision Agriculture, Sacramento, CA, July 20-23.

Virk, S.S., J.P. Fulton, T.P. McDonald, K.S. Balkcom, A. Poncet, and A.B. Brooke. 2014. Impact of Ground Speed and Varying Seeding Rates on Meter Performance. ASABE Paper No. 141897985. St. Joseph, Mich.: ASABE.

Virk, S.S., J.P. Fulton, T.P. McDonald, K.S. Balkcom, A. Poncet, and A.B. Brooke. 2014. Current Performance of Planter Technology to Support Variable-rate Seeding in the Southern US. ASABE Paper No. 141898019. St. Joseph, Mich.: ASABE.

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