SAES-422 Multistate Research Activity Accomplishments Report

Status: Approved

Basic Information

Participants

Buchanan, Sherrie (buchanan@ufl.edu)  University of Florida; Ehsani, Reza (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; Khosla, Raj (rkhosla@colostate.edu)  Colorado State University; Kondo, Naoshi (kondonao@kyoto-u.ac.jp)  Kyoto University; Lee, Won Suk (wslee@ufl.edu)  University of Florida; Lewis, Karen (kmlewis@wsu.edu)  Washington State University; Li, Changying (cyli@uga.edu)  University of Georgia; Lu, Renfu (renfu.lu@ars.usda.gov)  USDA/ARS; Sankasan, Sindhuja (sindhu@ufl.edu)  University of Florida; Schmoldt, Daniel (dschmoldt@nifa.usda.gov)  USDA/NIFA; Tabb, Amy (amy.tabb@ars.usda.gov)  AFRS/ARS/USDA; Zhang, Qin (qinzhang@wsu.edu)  Washington State University

On 4th April, the W1009 participants took a tour to Mosaic Phosphate Plant (Four Corners, New Wales). This was followed by field demonstration tour to Lykes Bros., Ft. Basinger, FL to witness the development of multiple sensing and mechanical systems used in precision horticulture: self-propelled canopy shaker, air shaker for mechanical harvesting, precision sprayer; plant material removal system, tree counting and mapping system, low-cost remote sensing technologies, used in citrus production.

On April 5, 2012, the members met at Hyatt Place Hotel, Orlando, FL for a business meeting that started at 8:00 am. The project advisor Ralph Cavalieri was not able to attend this meeting. Cavalieri informed the group through Zhang from Washington State University that the W1009 project will officially end on Sept 13, 2013. If we decide to rewrite the proposal, the deadline to submit the proposal is January 15, 2013. The writing committee needs to get the proposal ready by December, 2012. Zhang suggested that the proposal should be done even earlier, given the upcoming SCRI proposal deadline in January. Schmoldt mentioned that there is a template to write the proposal and document to summarize the impact of this project. The objectives of the rewritten proposal can be the same if the group has not accomplished all the objectives.

There was a discussion among the group members regarding the low participation in the W1009 meetings in the past five years. Some of the reasons for low participation were thought to be because of the following:

- Fewer meetings (three) held in the past five years (2008 in Baltimore, 2011 in Hawaii, and 2012 in Orlando). There are 41 people and 23 institutions listed on the official website of the project, but there were only 10-15 participants in last years and this years meeting. The meeting discussed whether there is a need for change in governance and organization for the extended project.
- The goal of this project is to promote the cooperation between group members. However, it did not happen after the Baltimore meeting in 2008.
- Heinemann and Gautz: Funding (in particular the SCRI project) is the enabler for such cooperation between group members.
- Lu: do we need to remove those members from the list who have never participated in the W1009 meeting?
- Lewis: the W1009 meeting should setup call-in phones or internet access options to encourage others to join the meeting remotely.

A motion was made by Heinemann to rewrite the proposal and extend the project. Zhang seconded the motion. The motion was passed unanimously after discussion. A second motion was made by Tabb to form a committee to rewrite the proposal. Heinemann seconded the motion. The motion was passed unanimously after discussion. Several members volunteered to be in the writing committee: Heinemann (will involve Tara Baugher for the logic model), Tabb, Zhang, Li, Ehsani, and Tony Grift (not in the meeting). Ehsani will take the lead if Grift is not willing in doing so.

Next meeting: Zhang from Washington State University would like to host the next meeting in the state of Washington in 2013. The tentative time for the meeting will be around mid- to late June.

New officers: Heinemann nominated Khosla as the incoming secretary of the W1009 project. Zhang seconded and the nomination was approved unanimously. The incoming officers of the project would be- Chair: Reza Ehsani; Vice Chair: Changying Li; Secretary: Raj Khosla.

About the project report for this year: Project advisor Ralph Cavalieri will edit the report after receiving the compiled reports from each state. Publication discussion: both journal and conference papers, as well as extension reports can be included in the publication list. The papers/reports must be searchable in public database (published and accessible).

USDA-NIFA Program Director Daniel Schmoldt gave an update of the SCRI program: Whether the SCRI program will be reauthorized by the new Farm Bill will be known by June 2012. The funding for the first five years will be spent over by this year.

There was a discussion about potential changes in the new proposal for the W1009 project:

- Heinemann, Khosla, Zhang, and Lewis: more integrated language to be included to promote participants from extension (reflected in SCRI projects) and other disciplines such as horticultural sciences, plant pathology, etc. Non-engineers should be involved, such as horticulturist, soil scientists, etc. The language of the proposal should be rephrased to reflect this change.
- The W1009 project could have joint meetings with other USDA multi-state projects (such as precision agriculture project).
- Have more input and involvement from the industry. Gautz: proprietary information could be an issue when the industry is involved.
- Schmoldt: stakeholders should be involved during the rewriting process.
- Related potential organizations that can interact with the W1009 could be: ASHS, IFT, food safety group, viticulture.
- Expanded list: Schmoldt will provide a list of interested group members that would expand the participation.

Station reports were presentation started at 10:20 am up to around 12:30 pm. The meeting was adjourned at 1:00 pm.

State reports can be viewed on W-1009's Homepage under Additional Documents using the following link: http://lgu.umd.edu/lgu_v2/homepages/attachs.cfm?trackID=10356

Accomplishments

Activities and Accomplishments
Members of W1009 have produced several outcomes resulting from number of research activities. The research areas are broadly classified as: (1) specialty crop management (thinning, processing, disease detection & chemical application), (2) mechanical harvesting (including harvest assist), and (3) food quality and safety.

Specialty crop management: Yield estimation is an important component of orchard management. In Florida, machine vision algorithms were developed with a detection accuracy of 80% for counting immature (green) citrus fruits. Similarly, ground-based and aerial remote sensing techniques were developed for detecting Hanglongbing (HLB), a serious citrus disease in orchards. In addition, precision spraying experiments are underway to improve the chemical spraying efficiency with reduced consumption by adjusting the louver opening and air flow based on canopy size. In Hawaii, coffee/cacao huller and winnower was developed capable of producing 20 kg of cacao/hr. In Iowa, several aspects of precision farming such as automated intra-row weeder, machine vision system for crop identification and localization, nozzle control technology for spray drift reduction, and precision rate control system for fertilizer application are being developed and evaluated. The automated weeder incorporated novel mechanism for the lateral motion of tine weeding mechanism. Ultrasonic and laser sensors were evaluated for canopy shape and distance measured for automated strong thinning in Pennsylvania. The Darwin string thinner was tested on apple and peach crops. In apples, one of the concerns was the spread of fireblight. Similarly, researchers are working in Michigan in improved cherry production systems by integrating plant/tree design with the engineering concepts such as harvesting. Research in USDA involve 3D construction of apple trees using modeling for robotic pruning and technology development for presorting apple in the orchard for efficient postharvest storage, packing and management.

Mechanical harvesting: A miniaturized low-cost berry impact recording sensor (BIRD) and associated software was developed for the evaluation of blueberry mechanical harvesting process. The real bruising rate of blueberries as determined using BIRD sensor was compared with actual bruising. It was found that FL 05-528 was resistant to bruising in comparison to 'Scintilla', 'Farthing' and 'Sweetcrisp'. Plant material removal system was developed to assist the removal of foreign material such as twigs and leaves from the mechanically harvesting citrus fruits. In addition, machine vision system for estimating the amount of plant material and yield sensor for predicting the harvested yield was developed to work in conjunction with the plant material removal system. An upgraded orchard platform-mounted with harvest assist system was tested in Pennsylvania for apple harvesting. Growers Financial Indifference Value of about $746/acre/yr was established for harvest assist system. In Michigan, fabrication of simple and cost-effective chestnut harvester is ongoing for small-scale producers. The current prototype is capable of good material collection capabilities, with good separation between desirable and discard materials, while minimizing degradation of chestnuts.

Food quality and safety: W1009 researchers are working on several aspects of food quality and safety. Research on understanding the nature of bacterial colonization on plant surfaces to prevent contamination, lead to the development of biomimetic plant microstructure to study the E. coli adhesion. It was found that the stomatal opening and flow direction in trichome play a significant role in bacterial attachment; while polarity (hydrophobic, hydrophilic) has a little impact. In addition, sensors were developed to monitor the quality and safety of postharvest onions. The hyperspetcral imaging system was found to be effective in monitoring the onion internal quality. In Hawaii, heat treatment to eradicate coffee berry borer in green coffee beans was optimized. Mathematical model of borer mortality was developed at a given temperature. In Michigan, hyperspectral sensor development is on-way to nondestructively predict apple firmness and soluble solid content (SSC) as well as blueberries quality. The apple firmness and SSC detection system will be compiled with the apple sorting and grading system. Computer tomotgraphy (CT) scans have been used to evaluate internal quality and defects in chestnuts at Michigan. The research has also been extended to cherries and pineapples. Visible-near infrared based methods have also been used to evaluate potato tissue characteristics, and glucose and sucrose content.

Output:
The W1009 members collectively published about 45 research papers, the majority of which were published in well-recognized, peer reviewed journals. The research outputs have been summarized in these publications. In addition, significant contributions were made through workshops, conferences, field demonstrations, online materials, extension materials, etc. The growers and other stakeholders are involved in these projects with significant contribution in terms of knowledge and other inputs. Several students and researchers are also being trained in these areas of research. The research stations will continue to work on their specific projects that contribute towards the goals of this project.

Impacts

  1. Management: Sensing system in Florida has potential to detect crop diseases. Coffee/cocoa huller and winnower could prepare beans saving dollars in processing energy or sales. Automated intra-row weeding can impact small vegetable growers; while precision spraying can reduce chemicals and its cost. Mechanized thinner for apples and peaches has an impact on northeastern growers, who purchased Darwin or PT250 string thinners. Robotic pruning of apple and on-site apple sorting can reduce production costs. Improved cherry production can yield economic returns and increase production.
  2. Harvesting: BIRD sensor enables researchers to understand berry interaction with harvester different machine parts and improve mechanical harvesting technologies. Plant material removal system with sensors will improve the citrus mechanical harvesting efficiency. Similarly, orchard platform-mounted harvest assist system showed low bruising rate and the improvement in worker efficiency was 58% and 89% in PA and WA, respectively. Chestnut harvesters and postharvest quality evaluation will help establish the commodity further.
  3. Food quality-safety: Effect of plant surface on bacterial attachment indicated that few factors affect the attachment. Food quality sensors could successfully be developed with >78% customers ready to consume X-rayed onions. Impact of mortality model and radio frequency heating for borer eradication in coffee allowed energy and labor saving in HI. Sensor fusion study on apple firmness and SSC provides critical data to achieve superior grading. Hyperspectral imaging for blueberry quality evaluation showed that technique can provide means for grading. CT scan can improve product quality and optimize profitability.

Publications

Aasted, M., R. Dise, T. Baugher, P. Heinemann, S. Singh. 2011. Autonomous mechanical thinning using scanning Lidar. Proceedings 2011 ASABE Annual International Meeting, Louisville, KY. 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. Baugher, T., J. Schupp, P. Heinemann. 2011. Innovations in peach thinning. Proc. New England Vegetable and Fruit Convention, Manchester, New Hampshire. Cen, H., R. Lu, F. Mendoza, and D. P. Ariana. 2011. Peach maturity/quality assessment using hyperspectral imaging-based spatially-resolved technique. In SPIE Proceedings 8027- Sensing for Agriculture and Food Quality and Safety III (edited by Kim, M. S. et al.), Paper No. 8027-0L, 15pp. SPIE (The International Society for Optical Engineering), Bellingham, WA. Darr, M. J. and J. M. Zimmerman. 2011. U.S. Patent Application. Sensor for measuring volumetric flow and variability of granulated materials. July 13. Donis-Gonzalez, I.R., D.E. Guyer, A. Pease, and D. Fulbright. 2012. Relation of computerized tomography Hounsfield-unit measurements and internal characteristics of fresh chestnuts (Castanea spp.). Postharvest Biology and Technology 64: 74-82. Hamner, B., M. Bergerman, S. Singh. 2011. Autonomous orchard vehicles for specialty crops production. 2011 ASABE Annual International Meeting, Louisville, KY, August 7-10. 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. 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. 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. Kruckeberg, J. P. 2011. An automated nozzle controller for self-propelled sprayers. M.S. Thesis. Iowa State Univ., Ames. 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. 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. 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. 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. 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. Lu, R. 2011. Development of automatic inspection technology for quality evaluation of pickling cucumbers. In 2011 Pickling Cucumber Research Reporting Session, p. 44-50. Michigan State University. Lu, R. and D. P. Ariana. 2011. Detection of fruit fly infestation in pickling cucumbers using hyperspectral imaging. In SPIE Proceedings Vol. 8027 - Sensing for Agriculture and Food Quality and Safety III (edited by Kim, M. S. et al.), Paper No. 8027-0K, 8 pp. SPIE (The International Society for Optical Engineering), Bellingham, WA. Lu, R., D. P. Ariana, and H. Cen. 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. Mendoza, F., R. Lu, D. P. Ariana, H. Cen, and B. B. Bailey. 2011. Integrated spectral and image analysis of hyperspectral scattering data for predicting apple fruit firmness and soluble solids content. Postharvest Biology and Technology 62(2): 149-160. Mendoza, F., R. Lu, H. Cen, and D. P. Ariana. 2011. Data fusion of visible/near-infrared spectroscopy and spectral scattering for apple quality assessment. ASABE Paper No. 1111244, 16pp. Mendoza, F., R. Lu, H. Cen, and D. P. Ariana. 2011. Multisenor data fusion for improved prediction of apple fruit firmness and soluble solids content. In SPIE Proceedings Vol. 8027- Sensing for Agriculture and Food Quality and Safety III (edited by Kim, M. S. et al.), Paper No. 8827-0M, 14 pp. SPIE (The International Society for Optical Engineering), Bellingham, WA. 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. Mishra, A. R., D. Karimi, R. Ehsani, and L. G. Albrigo. 2011. Evaluation of an active optical sensor for detection of Huanglongbing (HLB) disease. Biosystems Engineering. 110(3):302-309. Mizushima, A. and R. Lu. 2011. Cost benefits analysis of in-field presorting for the apple industry. Applied Engineering in Agriculture 27(1): 33-40. Mizushima, A. and R. Lu. 2011. Development of a cost-effective machine vision system for infield sorting and grading of apples: Fruit orientation and size estimation, ASABE Paper No. 1110723, 19pp. 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. 2011. Identifiability analysis of a tractor and single axle towed implement model. M.S. Thesis. Iowa State Univ., Ames. 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. Peters, M. 2011. Current status and future refinements for the Darwin string thinner. Proc. Great Lakes Fruit Expo. Grand Rapids, MI. Sankaran, S., A. Mishra, J.M. Maja, and R. Ehsani. 2011. Visible-near infrared spectroscopy for detection of Huanglongbing in citrus orchards. Computer and Electronics in Agriculture 77 (2): 127-134. Sankaran, S., and R. Ehsani. 2011. Visible-near infrared spectroscopy based citrus greening detection: Evaluation of spectral feature extraction techniques. Crop Protection 30 (11): 1508-1513. Sankaran, S., and R. Ehsani. 2012. Detection of Huanglongbing disease in citrus using fluorescence spectroscopy. Transactions of the ASABE 55 (1): 313:320. Schupp, J. R. and T. Auxt Baugher. 2011. Peach Blossom String Thinner Performance Improved with Selective Pruning. HortScience 46(11):1486-1492. 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., 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. Sirinutsomboon, B. 2011. Attachment of Escherichia coli on plant surface structures built by microfabrication. PhD Thesis, University of California, Davis, California. 207 pp. Sirinutsomboon, B., Delwiche, M.J., and Young, G.M. 2011. Attachment of Escherichia coli on plant surface structures build by microfabrication. Biosystems Engineering 108:244-252. Wang, W., C. Li, W. Tollner and G. Rains. 2012. Development of software for spectral imaging data acquisition using LabVIEW. Computers and Electronics in Agriculture. 84: 6875. Wang, W., C. Li, W. Tollner, G. Rains and R. Gitaitis. 2012. Development of an LCTF-based shortwave infrared spectral imaging system for food quality and safety inspection: calibration and characterization. Computers and Electronics in Agriculture. 80: 135-144. Wang, W., C. Li, W. Tollner, G. Rains and R. Gitaitis. 2012. Shortwave Infrared Hyperspectral Imaging for Detecting Sour Skin (Burkholderia Cepacia)-Infected Onions. Journal of Food Engineering. 109(1): 38-48. Wang, W., C. Li, W. Tollner, G. Rains, R. Gitaitis. 2012. 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. 80: 126-134. 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. Yang, C. and W. S. Lee. 2011. Spectral signatures of blueberry fruits and leaves. ASABE Paper No. 1110582. St. Joseph, Mich.: ASABE. 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. 79(1): 103-111. Zimmerman, J. M. 2011. Precision pneumatic fertilizer application. M.S. Thesis. Iowa State Univ. Ames.
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