SAES-422 Multistate Research Activity Accomplishments Report

Status: Approved

Basic Information

Participants

Cavalieri, Ralph (cavalieri@wsu.edu) - Washington State University; Cheng, Zhong Yang (chengzh@auburn.edu) - Auburn University; Ehsani, Mohammad (ehsani@ufl.edu) - University of Florida; Gautz, Loren (lgautz@hawaii.edu) - University of Hawaii; Guyer, Dan (guyer@msu.edu) - Michigan State University; Heinemann, Paul (hzh@psu.edu) - Pennsylvania State University; Hong, Yong Deng (ydh1@cornell.edu) - Cornell University; Khosla, Raj (Raj.Khosla@colostate.edu) - Colorado State University; Li, Changying (cyli@uga.edu) - University of Georgia; Seavert, Clark (clark.seavert@oregonstate.edu) - Oregon State University; Slaughter, David (dcslaughter@ucdavis.edu) - University of California, Davis; Zhang, Qin (qinzhang@wsu.edu) - Washington State University

W1009 members met on the campus of University of Hawaii, Manoa station on June 16, and 17, 2011. A welcome address was presented to the W1009 membership by the Associate Dean of the College of Tropical Agriculture and Human Resources at the University of Hawaii. In his address, the Dean emphasized the continued need for automation and pest management research in specialty crops, with a focus on the tropical crops produced in Hawaii. Dean Cavalieri of Washington State University then made a presentation to the W1009 membership, giving an overview of the history of the work that the group has done over the years leading up to the current W1009 project and the continued critical need for automation and sensing solutions to aid agricultural producers of specialty crops remain economically viable, globally competitive, and to continue to provide a sustainable food supply to the U.S. The presentation was beneficial since there were many new members to W1009 and it helped to bring the members to a common focus. The Dean then led the group in a discussion about the project goals and about upcoming potential reasearch funding opportunities at the national level. The members discussed the need for continued collaborative multi-state projects and about the current limited availability of funding for research in this critical area. While the W1009 membership has been successful in obtaining multi-state research funding from the current USDA specialty crops research initiative (SCRI), several stations expressed concern the funding rate of SCRI was low making progress slow and difficult and there was some discusion about potential strategies for improving the success rate of future proposals. Next a general session was conducted in which each member station presented a status update to the group on their recent accomplishments related to the W1009 project objectives. During this session, members conducted an extended discussion of the current problems, possible solution approaches and a general discussion of the status for the mechanization of specialty crops at each station in attendance across the US. Most specialty crops produced in the U.S. were represented included apple, asparagus, blueberry, cacao, cherry, chestnut, citrus, coffee, cucumber, grape, hop, onion, peach, and potato. In addition to engineering issues related to sensing, harvesting and mechanization, the group also discussed issues related to food safety, economics, and processing of selected specialty crops. After the general session on research progress, a W1009 business session was held. In this session, the members discussed future plans for collaboration and for the date and location for the 2012 annual meeting of the W1009 membership. After exploring a number of options, the group decided to explore the possibility of meeting in April 2012 at Lake Alfred, FL to be held in conjunction with the planned workshop on mechanical harvesting to be held at that time. Dr. Ehsani was asked to explore this possibility in more detail with the organizing committee for the workshop and then to work with the incoming W1009 chair, Dr. Grift to make some more detailed plans and to report back to the W1009 membership with a more detailed proposal for the 2012 annual meeting. Then an election of officers for the upcoming year was held. Current Vice Chair, Dr. Tony Grift of the University of Illinois, agreeded to become the Chair person for 2012, which was unanimously approved by the members present. New officers were then elected for 2012. Dr. Reza Ehsani, at the University of Florida, was elected to serve as Vice Chair, and Dr. Changying Li, at the University of Georgia, was elected to serve as secretary. On the second day of the meeting, the College of Tropical Agriculture and Human Resources at the University of Hawaii hosted the W1009 members in a field tour of specialty crop production in Oahu. The group visited the farm and postharvest handling facilities of Dole Food Company, Inc., which was founded in Hawaii in 1851. Dole is the world's largest producer and marketer of fresh fruit and fresh vegetables. The group had an extensive discussion about manual labor availability and that the only individuals with the skills needed for pineapple production were above the age of 50, with little interest by younger individuals to work in this highly demanding job. There was extensive discussion on the critical needs for mechanization in tropical specialty crop production of pineapple, coffee and cacao in order to address the upcoming labor shortage and to allow commercial production of specialty crops to remain viable in Hawaii and other areas around the U.S. The W1009 meeting ended with a tour of the farm and produce packing shed operations at Matsuda Fukuyama Farms. This 300-acre farm is an good example of new business models that smaller specialty crop producers in Hawaii and elsewhere in the U.S. have developed in order to diversify their agricultural production operations and to diversify their income by engaging in agrotourism. The group toured the commercial production sites for apple bananas, papayas, eggplant, and taro leaves and their agrotrousim facilities where they have an educational program to inform vistors about the food they're eating and how it's grown. The W1009 members had an extended discussion about the needs of smaller producers and about possible ways in which the group might develop projects aimed specifically at the needs of small scale producers.

To view individual reports, go to the Homepage of W-1009 and look in the Additional Documents section at: http://lgu.umd.edu/lgu_v2/homepages/attachs.cfm?trackID=10356

Accomplishments

Short-term Outcomes:
Members of W1009 have produced a number of short-term outcomes related the project's objectives to: 1) design and evaluate automation systems which incorporate varying degrees of mechanization and sensors to assist specialty crop industries with labor, management decisions, and reduction of production costs and 2) to working in partnership with equipment and technology manufacturers to commercialize and implement the outcomes of this project. The most notable research output has been experienced by farmers of tree fruit crops in California, Maryland, Pennsylvania, South Carolina, Washington, and West Virginia who have adopted some of the newly developed mechanized crop thinning technology under continued development and refinement by members of W1009. The mechanized thinning work has also allowed growers and W1009 cooperators to work together to consider a range of new thinning strategies looking at optimizing the combined use of manual blossom or fruitlet thinning and mechanized thinning, or to consider partitioning the tree so that some portions are thinned by hand and others thinned mechanically.

Specific measureable benefits to tree fruit farmers have been that mechanical thinning is proving more reliable than a variety of chemical fruit thinning treatments have been in the past, and some growers have been able to recoup their investment in these new mechanized technologies in as little as one season by in lowering their operating costs and in some cases increasing yields . These directly measureable outcomes, have a longer term benefit of improving the sustainability of tree fruit production in the US by helping farmers to remain competitive in the world market for fruit. Other more subtle outcomes are the possible switch from chemical thinning to mechanical thinning which means less chemical exposure to farm operators and mechanical thinning technology may help some farmers who have used chemical thinning in the past make the transition from conventional to organic production, which many consumers consider to be beneficial. Another outcome that has resulted from the efforts of W1009 members has been that it has spurred growers to begin thinking about what future plantings might need to look like in order to take advantage of future mechanization and technology. Many W1009 researchers have been promoting new tree architectures, like perpendicular V, for many years. The adoption of this new thinning technology, with its direct economic benefit to growers, has, in some cases, resulted in growers reconsidering more two-dimensional like tree structures to further improve the success of mechanized agriculture.

Outputs:
The bulk of the research outputs by W1009 members has been directed at the project objectives to: 1) adapt biological concepts associated with specialty crop production, harvest, and postharvest handling into quantifiable parameters which can be sensed, and 2) to develop sensors and sensing systems which can measure and interpret. There is a deep level of expertise among the W1009 members in the field of knowledge relating biological status parameters to signals which can be externally measured and to carry this knowledge forward toward the design of new sensors. A very large body of new knowledge and information has been created to facilitate the development of new sensors and sensing methodology for automatically determining produce quality and for automation used in identifying produce items with defects so that they can be separated from the high quality items. Over 50% of the academic journal publications produced by the W1009 members have documented the groups' efforts in the development of new sensors and sensing methodology. Additional work has been published on the topics of biosensors or inspection systems for food safety, on sensors for plant disease to allow early detection, on new technologies or concepts related to mechanized harvesting or automation of other postharvest operations and on remote sensing or site-specific farming techniques and economic analyses to assist specialty crop industries with management decisions.

For the project's objectives to: 1) design and evaluate automation systems which incorporate varying degrees of mechanization and sensors to assist specialty crop industries with labor, management decisions, and reduction of production costs and 2) to working in partnership with equipment and technology manufacturers to commercialize and implement the outcomes of this project, extensive knowledge, tailored to the specific growing conditions, cultural practices and cultivars for the major tree fruit production regions in the U.S., has been disseminated on the effects of timing as a function of a range of biological factors such as the percent of flowers in full bloom and the initial flower density on the tree, or fruitlet size and density and how these biological factors interact with the technological and engineering factors such as of choice of material and configuration of the blossom impactor (string-like or rod-like structures are both under various stages of investigation), velocity at impact, and forward travel speed of the orchard tractor.

Further, a large body of very applied information has been gathered and presented across the whole spectrum of individuals who might benefit from this new knowledge from local grower meetings, university sponsored field days and regional grower association meetings, to industry advisory committee meetings, and at horticultural and agricultural engineering society meetings within the U.S. and worldwide. The information has also been made widely available by the W1009 team in printed or electronic forms such as in grower publications like the Good Fruit Grower and Growing Magazines, local newspapers, to university (including extension) web sites, and in several academic journals. An example of one of the web sites can be found at http://www.abe.psu.edu/SCRI/.

The members of W1009 collectively published over 50 research papers, the majority of which were published in peer reviewed scientific journals. All stations continued their research programs related to the project objectives and the majority of which produced observations, data and information related to the project topics. Many of these research findings were output in the form of reports to commodity groups or funding agencies at the local and national level.

Impacts

  1. W1009 members conducted research on new automation techniques for mechanized thinning in tree crops. This research has enabled tree fruit producers to adopt a non-chemical technique to reduce labor costs associated with fruit thinning and to help them remain economically competitive on the world market without significant loss in fruit quality.
  2. The economic benefit to tree fruit produces adopting mechanized thinning technologies has enabled those fruit producers to develop long-term strategies for orchards of the future that are increasingly suitable to mechanization. The expected long-term impact will be to facilitate the increased used of automation and mechanization in specialty crop production, with the anticipation of the development of fully automated harvesting systems as researchers and fruit growers learn how to create biologically productive orchards that utilize a three-dimensional tree configuration that is better suited to machine-based plant care.
  3. W1009 members developed new sensors & methods for detecting: 1) quality attributes and defects in apples, blueberry, citrus, pickling cucumbers, whole pickles, pecans, onions, fresh chestnuts, tomato, watermelon 2) plant diseases in citrus and fungal contamination in tomato, 3) 3D mapping of trunks, branches and pruning points in apple trees and blossoms, trunks and shoots in peach trees, 4) insect recognition and classification. These systems will help the agricultural industry develop advanced automatic machines sorting machines and computer-based data systems which collect, verify, and organize raw data to present information to the farmer for better production management decisions.

Publications

Aasted, M., R. Dise, T. Baugher, P. Heinemann, S. Singh. 2011. Autonomous mechanical thinning using scanning Lidar. ASABE paper # 1111651. ASABE: St. Joseph, MI. 14 pp. Ahmad, M. T., J. Li, L. Tang, B. Steward. 2011. Development of a mechanical intra-row weeding actuation system for organic vegetables. ASABE Paper No. 1111636, St. Joseph, MI. Al-Saqer, S.M., P. Weckler, J. Solie, M. Stone, A.Wayadande, 2011. Identification of Pecan Weevils through Image Processing. American Journal of Agricultural and Biological Sciences, Volume 6, Issue 1, Pages 69-79. Ariana, D. P., Lu, R. 2010. Hyperspectral waveband selection for internal defect detection of pickling cucumbers and whole pickles. Computers and Electronics in Agriculture 74(1):137-144. 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. Accepted for publication. Baugher, T. Auxt and J. Schupp. 2010. Relationship between Honeycrisp crop load and sensory panel evaluations of the fruit. J. Amer. Pomological Soc. 64:226-233. Baugher, T. Auxt, J. Schupp, K. Ellis, E. Winzeler, J. Remcheck, K. Lesser, K. Reichard. 2010. Mechanical string thinner reduces crop load at variable stages of bloom development of peach and nectarine trees. HortScience 45(9):1327-1331. Baugher, T. Auxt, J. Schupp, K. Ellis, J. Remcheck, E. Winzeler, R. Duncan, S. Johnson, K. Lewis, G. Reighard, G. Henderson, M. Norton, A. Dhaddey, P. Heinemann. 2010. String blossom thinner designed for variable tree forms increases crop load management efficiency in trials in four U.S. peach growing regions. HortTechnology 20:409-414. Baugher, T. Auxt., J. Schupp, P. Heinemann, S. Miller, K. Ellis, E. Winzeler, K. Reichard, J. Remcheck, C. Musselman, A. Leslie, R. Rohrbaugh, S. Wolford, M. Schupp, C. Kuntz, E. Moore, J. Koan, C. Anders, T. Kon. 2010. Innovative technologies for thinning fruit. PA Fruit News 90(3). Baugher, T., K. Ellis, J. Remcheck, K. Lesser, J. Schupp, E. Wnzeler, and K. Reichard. 2011. Mechanical string thinner reduces crop load at various stages of bloom development of peach and nectarine trees. Tender Fruit Grapevine, Jan./Feb 2011, Ontario Ministry of Agriculture, Food and Rural Affairs. Baugher, T., K. Ellis, J. Remcheck, K. Lesser, J. Schupp, E. Wnzeler, and K. Reichard. 2011. Mechanical string thinner reduces crop load at various stages of bloom development of peach and nectarine trees. Rutgers Plant and Pest Advisory, Fruit Edition 15(31):2. Baugher, T. A., J. Schupp, E. Winzeler, W. Messner, M. Bergerman. 2011. Mechanically assisted harvest of apples. 2011 ASABE Annual International Meeting, Louisville, KY, August 7-10 (Abstract). Bikram, A., and M. Karkee. 2011. 3D Reconstruction of Apple Trees for Mechanical Pruning. ASABE Paper No. 111161. St. Joseph, Mich.: ASABE. Cen, H., Lu, R. 2010. Optimization of the hyperspectral imaging-based spatially-resolved system for measuring the optical properties of biological materials. Optics Express 18(16):17412-17432. Cen, H., Lu, R., Dolan, K. 2010. Optimization of inverse algorithm for estimating the optical properties of biological materials using spatially-resolved diffuse reflectance. Inverse Problems in Science and Engineering 18(6):853-872. Donis-Gonzalez, I.R., Guyer, D.E., Pease, A., Fulbright, D. 2011. Relation of computerized tomography Hounsfield-unit measurements and internal characteristics of fresh chestnuts (Castanea spp.). Postharvest Biology and Technology. (accepted for publication) Downey, D., R. Ehsani, K. Giles, S. Haneklaus, D. Karimi, K. Panten, F. Pierce, E. Schnug, D. Slaughter, S. Upadhyaya, D. Wulfsohn. 2010. Advanced Engineering Systems for Specialty Crops: A Review of Precision Agriculture for Water, Chemical, and Nutrient Application, and Yield Monitoring. Eds. Upadhyaya, S., K. Giles, S. Haneklaus, E. Schnug. Landbauforschung - vTI Agriculture and Forestry Research, Special issue no. 340:1-88. Ehsani, R. and D. Karimi. 2010. Yield monitors for specialty crops. Advanced engineering systems for specialty crops: A review of precision agriculture for water, chemical, and nutrient application, and yield monitoring. Spec. Issue of Landbauforschung vTI Agriculture and Forestry Research 340:31-43 Ellis, K., Tara Auxt Baugher, K. Lewis. 2010. Use of survey instruments to assess technology adoption for tree fruit production. HortTechnology 20:1043-1048. Emery, K.G., D.M. Faubion, C.S. Walsh, Y. Tao. 2010. Development of 3-D range imaging system to scan peach branches for selective robotic blossom thinning. ASABE Paper number 10-09202. The American Society of Agricultural and Biological Engineers. St. Joseph, MI. 10 pp. Franzen, A., P.R. Weckler, & N.Wang. 2011. Evaluation of single-insect proximity detection methods for use in ultra-low-power systems. 2011 ASABE Annual Meeting, August 7-10, 2011, Louisville, Kentucky. ASABE Paper No. 1111838 Gonzalez, M.E., J.A. Jernstedt, D.C. Slaughter and D.M. Barrett. 2010. Microscopic Quantification of Cell Integrity in Raw and Processed Onion Parenchyma Cells. J. Food Sci. 75(7):E402-E408. Gonzalez, M.E., J.A. Jernstedt, D.C. Slaughter, and D.M. Barrett. 2010. Influence of Cell Integrity on Textural Properties of Raw, High Pressure, and Thermally Processed Onions. J. Food Sci. 75(7):E409-E416. Guyer, D., Xing, J., Mandujano, M., Fulbright, D.W. 2010. Influence of selected factors on efficiency and effectiveness of a peeling machine for chestnut. First European Chestnut Conference. Acta Horticulturae 866:595-603 Hang, Y. D. and Woodams, E. E. 2010. Influence of apple cultivar and juice pasteurization on hard cider and eau-de-vie methanol content. Bioresource Technology 101:1396-1398. Hardin, J. A., C. L. Jones, N. O. Maness, P. R. Weckler, and J. W. Dillwith. 2011. Rapid in situ Quantification of Leaf Cuticular Wax Using FTIR-ATR and DSC. 2011 ASABE Annual International Meeting. Louisville, Kentucky. Heinemann, P., J. Schupp, T. Auxt Baugher. 2010. Innovative technologies for thinning of fruit. HortScience 45(8):S199. Abstract. Heinemann, P., J. Liu, J. Schupp, T. Baugher, T. Grift, D. Lyons, R. Dise, R. Pritz, M. Aasted. Advancing technologies for thinning of tree fruit. 2011 ASABE Annual International Meeting, Louisville, KY, August 7-10. Huang, M., Lu, R. 2010. Apple mealiness detection using hyperspectral scattering technique. Postharvest Biology and Technology 58(3):168-175. Huang, M., Lu, R. 2010. Optimal wavelength selection for hyperspectral scattering prediction of apple firmness and soluble solids content. Transactions of the ASABE 53(4):1175-1182. Karkee, M., B. L. Steward, A. G. Kelkar, and Z. T. Kemp II. 2011. Modeling and Real-time Simulation Architectures for Virtual Prototyping of Off-Road Vehicles. Virtual Reality 15(1):83-96. DOI: 10.1007/s10055-009-0150-1. Karkee, M. and B. L. Steward. 2011. Parameter estimation and validation of a tractor and single axle towed implement dynamic system model. Computers and Electronics in Agriculture 77(2): 135-146. doi:10.1016/j.compag.2011.04.005. Kon, T. M., W. E. Winzeler, J. R. Schupp. 2010. Golden Delicious cropload adjustment with the Equilifruit disk. HortScience 45(8):S256. Abstract. 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: 140-149. Lee, K.H., R. Ehsani, and W. S. Castle. 2010. A laser scanning system for estimating wind velocity reduction through tree windbreaks. Computers and Electronics in Agriculture. 73:1- 6. Li, J., H. Yao, L. Tang, R. L. Brown, D. B. Thomas, E. Cleveland. 2011. Computational Algorithms for Classification of Corn Kernels of Different Genetic Traits. ASABE Paper No. 1111735, St. Joseph, MI. Li, J., L. Tang. 2011. Sensing and Control System Development for an Automated Intra-row Mechanical Weeder for Small and Mid-scale Vegetable Growers. ASABE Paper No. 1111721, St. Joseph, MI. Lu, R., Ariana, D. P., Cen, H. 2011. Optical absorption and scattering properties of normal and defective pickling cucumbers for 700-1,000 nm. Sensing and Instrumentation for Food Quality and Safety 5(2): 51-56. Maja, J. M. and R. Ehsani. 2010. Development of a yield monitoring system for citrus mechanical harvesting machines. Precision Agriculture. 11(5):475-287. Miller, S., J. Schupp, T. Baugher, S. Wolford. 2011. Performance of mechanical thinners for bloom or green fruit thinning in peaches. HortScience 46:43-51. Mizushima, A., Lu, R. 2010. Cost benefits analysis of in-field presorting for the apple industry. Applied Engineering in Agriculture 27(1):33-40. Nakarmi, A. D., L. Tang. 2011. 3D machine vision for automated inter-plant spacing sensing for corn and cotton plants at early growth stages. ASABE Paper No. 1111736, St. Joseph, MI. Nielsen, S. L., M. Karkee, and B. L. Steward. 2011. Methodology to perform identifiability analysis for off-road vehicle tire-soil parameter estimation. ASABE Paper No. 1111526. St. Joseph, Mich.: ASABE. Peterson, D. L., A. L. Tabb, T. A. Baugher, K. Lewis, D. M. Glenn. 2010. Dry bin filler for apples. Applied Engineering in Agriculture 26(4):541-549. R. Choudhary, T.J. Bowser, P. Weckler, N.O. Maness, W. McGlynn, Rapid estimation of lycopene concentration in watermelon and tomato puree by fiber optic visible reflectance spectroscopy, Postharvest Biology and Technology, Volume 52, Issue 1, April 2009, Pages 103-109 . Ruiz-Altisent, M., Ruiz-García, L., Moreda, G. P., Lu, R., Hernández-Sanchez, N., Correa, E. C., Diezma, B., Nicolai, B., García-Ramos, J. 2010. Sensors for product characterization and quality of specialty crops - A review. Computers and Electronics in Agriculture 74(2):176-194. S. K. Mathanker, P. R. Weckler, N. Wang, T. Bowser, N. O. Maness. Local Adaptive Thresholding of Pecan X-Ray Images: Reverse Water Flow Method. Transactions of the ASABE. 53(3): 961-969. 2010 . S.K. Mathanker, P.R. Weckler, T.J. Bowser, N. Wang, N.O. Maness, AdaBoost classifiers for pecan defect classification, Computers and Electronics in Agriculture, Volume 77, Issue 1, June 2011, Pages 60-68, ISSN 0168-1699. Samba, A., 2011, Machine Vision for Non-Destructive Pecan Grading. Presented at the 2011 ASABE Annual International Meeting. Louisville, Kentucky. Paper No. 1111300 Sankaran, S., R. Ehsani, and E. Etxeberria. 2010. Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves. Talanta (83):574-581. Sankarana, S., A. Mishra, R. Ehsani, and C. Davis. 2010. A review on advanced techniques for detecting plant diseases. Computers and Electronics in Agriculture. 72:1-13. Savary, S. K. J. U., R. Ehsani, J. K. Schueller, and B. P. Rajaraman Mishra. 2010. Simulation study of citrus tree canopy motion during harvesting using a canopy shaker. Transactions of the ASABE. 53(5):1373-1381. Schupp, J. 2011. A challenging year for chemical thinning. Fruit Times web - based news alert posted May 17, 2011: http://extension.psu.edu/fruit-times/news/2011/a-challenging-year-for-chemical-thinning-1 Schupp, J. 2011. Whats new at the PSU Fruit Research and Extension Center? Adams County Fruit Growers Newsletter 43(3):5-6. Schupp, J. R., and T. Auxt Baugher. 2011. Peach Blossom String Thinner Performance Improved with Selective Pruning. HortSience 46: (accepted for publication September 2011). Schupp, J., and E. Winzeler. 2011. A Precision Electronic Fruit Grading System for the PSU Fruit Research and Extension Center. PA Fruit News 91(1):38. Schupp, J., P. Heinemann, T. Baugher, S. Miller, J. Liu, R. Dise, A. Leslie. 2010. Innovative technologies for thinning of fruit. 2010. Ohio Produce Growers and Marketers Association Today. Pataskala, OH. Schupp, J., T. A. Baugher, J. L. Frecon, J. Remcheck, and K. Ellis. 2011. Evaluation and Demonstration of New Stone Fruit Varieties and Tree Forms. PA Fruit News 91. Schupp, J., T. A. Baugher, K. Ellis, J. Remcheck, E. Winzeler, R. Duncan, S. Johnson, K. Lewis, G. Reighard, G. Henderson, M. Norton, A. Dhaddey, P. Heinemann. 2010. String blossom thinner designed for variable tree forms increases crop load management efficiency in trials in four peach growing regions. HortScience 45(8):S199. Abstract. Schupp, J., T. Auxt Baugher, R. Crassweller, K. Ellis, E. Winzeler, J. Remcheck, T. Kon. 2010. Labor efficient production systems. PA Fruit News 90(2). Sirinutsomboon, B., M. J. Delwiche M. J., and G. M.Young. 2011. Attachment of Escherichia coli on plant surface structures built by microfabrication. Biosystems Engineering, 108, 244-252. Tang, L. 2011. Agricultural Automation and A Case Study on Automated Intra-row Weeding. The 2011 International Conference on New Technologies of Agricultural Engineering (ICAE 2011), May 27-29, 2011, Zibo, China. Thornton, C.R., D.C. Slaughter, and R.M. Davis. 2010. Detection of the sour-rot pathogen Geotrichum candidum in tomato fruit and juice by using a highly specific monoclonal antibody-based ELISA. Int. J. of Food Microbiology 143:166172. Wang, W., C. Li, W. Tollner, G. Rains, R. Gitaitis. 2011. A liquid crystal tunable filter based shortwave infrared spectral imaging system for food quality and safety inspection: design and integration. Computers and Electronics in Agriculture. DOI: 10.1016/j.compag.2011.07.012. Wang, W., C. Li, W. Tollner, G. Rains and R. Gitaitis. 2011. Development of an LCTF-based shortwave infrared spectral imaging system for food quality and safety inspection: calibration and characterization. Computers and Electronics in Agriculture. DOI: 10.1016/j.compag.2011.09.003. Wang, W., C. Li, B. Tollner, R. Gitaitis, and G. Rains. 2011. Measuring Absorption and Scattering Properties of Onions at 632 nm using Inverse Adding Doubling Method. ASABE Paper No. 1110722. Louisville, Kentucky, August 8-10, 2011. Wang, H. C. Li, M. Wang. 2011. Onion Internal Quality Prediction using Line-scan Hyperspectral Imaging. ASABE Paper No. 1110708. Louisville, Kentucky, August 8-10, 2011. Wen, C., Guyer, D.E., Li, W. 2009. Local feature-based identification and classification for orchard insects. Biosystems Engineering. Vol. 104. p299-307. Winzeler, H. E., and J. R. Schupp. 2011. Image analysis of blush coverage extent and measures of categorical blush intensity in 'Honeycrisp' apples. HortScience 46:705-709. Yu, P., C. Li, G. Rains, and T. Hamrita. 2011. Development of the Berry Impact Recording Device Sensing System: Software. Computers and Electronics in Agriculture. 77(2): 195-203. Yu, P., C. Li, G. Rains, and T. Hamrita. 2011. Development of the Berry Impact Recording Device sensing system: hardware design and calibration. Computers and Electronics in Agriculture. DOI: 10.1016/j.compag.2011.08.013. Zhang, H., Woodams, E. E. and Hang, Y. D. 2011. Influence of pectinase treatment on fruit spirits from apple mash, juice and pomace. Process Biochemistry 46:1909-1913.
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