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UID:20250812T063816EDT-7865wVoE1I@132.216.98.100
DTSTAMP:20250812T103816Z
DESCRIPTION:Special seminar by Yu Jiang\, PhD\, Research Assistant\, The Un
 iversity of Georgia\n\nAgriculture is facing tremendous challenges in its 
 productivity\, sustainability\, and quality from the rapidly growing popul
 ation\, changing climate\, and severe shortfall of arable land and water r
 esources. It is imperative to develop sensing and analysis systems for rap
 id and accurate measurement of plant phenotypic traits and crop postharves
 t properties. In this talk\, Yu Jiang will describe work on integration of
  imaging and computing technologies to extract phenotypic traits and posth
 arvest properties for improving crop yield\, quality\, and adaptability. H
 e will especially focus on two areas: 1) characterization of import crop p
 roperties for machine harvest and 2) deep learning for plant development a
 nalysis. He will conclude by discussing research plans to develop advanced
  engineering solutions for grapevine phenotyping and grape quality assessm
 ent.\n\nABOUT THE SPEAKER\n\nYu Jiang earned his bachelor and master degre
 es in Computer Science from China\, and then pursued his Ph.D. degree in A
 gricultural and Biological Engineering at the University of Georiga. In th
 e past five years\, Yu primarily focused on two research aspects: field ba
 sed high throughput plant phenotyping and postharvest quality assessment. 
 So far\, Yu have published 16 peer-reviewed journal articles (with 4 more 
 under review) and 11 conference proceedings. Yu received several major awa
 rds from the professional societies such as the best paper award from the 
 ITSC division of the ASABE. In addition\, Yu was funded with research gran
 t (a total of $30\,000) in the past two years.\n\nEveryone is welcome to a
 ttend\n
DTSTART:20190516T140000Z
DTEND:20190516T153000Z
LOCATION:R2-046\, Raymond Building\, CA\, QC\, St Anne de Bellevue\, H9X 3V
 9\, 21111 Lakeshore Road
SUMMARY:Imaging Techniques for Field based Plant Phenotyping and Postharves
 t Quality Assessment
URL:/macdonald/channels/event/imaging-techniques-field
 -based-plant-phenotyping-and-postharvest-quality-assessment-297166
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