Beyond Commercialization – Engineering Research for Crop Load Management
March 9 @ 9:00 am – 11:00 am (Pacific Time)
This session provides updates on engineering-related research that looks to the future for apple crop load management. See what is being developed for further sensing and automation to assist with orchard production. Presentations are provided by researchers at Cornell University, Penn State, University of Florida, and Moog, Inc. These will be in a short 10-minute format, with time for questions and discussions at the end.
Karen Lewis, Agriculture and Natural Resources Program Unit Director, Tree Fruit Extension Specialist, Washington State University
3D Imaging and Digital Twin for Specialty Crops
Yu Jiang, Assistant Research Professor, Agritech, Cornell University
Crop Load Adjustment Based on Early Flower Bud Detection
Long He, Assistant Professor of Agricultural and Biological Engineering, Rashmi Sahu, Graduate Student Paul Heinemann, Professor of Agricultural and Biological Engineering, Penn State
Improving Apple Harvest with the Latest in AI Yield Estimation for Specialty Crops
Dana Choi, Assistant Professor of Agricultural Engineering, University of Florida
Moog’s Autonomous Journey: “Agriculture Is the Lynch Pin”
Chris Layer, Mgr. Technology & Advanced Pursuits, and Tom Fischer – Moog Inc.