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Scientists, Extension Educators, and Ag-Tech Innovators are Working Together to Fine-Tune and Validate the Adoption of Digital Technologies for Precision Crop Load Management
Terence Robinson, Yu Jiang, Luis Gonzalez, Mario Miranda Sazo, and Craig Kahlke Posted with permission, Fruit Notes, Volume 22 Issue 14 September 12, 2022 (Cornell Cooperative Extension Lake Ontario Fruit Program) In the last two growing seasons and in a few orchards in the Lake Ontario Fruit region and at Cornell AgriTech in Geneva, the…
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Studies in Precision Crop Load Management of Apple
T.L. Robinson, L. Gonzalez, L. Cheng, Y. Ziang, G. Peck, B. Arnoldson, M. Gomez, M. Guerra, Mario Miranda Sazo, C. Kahlke, T. Einhorn, A. Wallis, S. Musacchi, S. Serra, K. Lewis, T. Schmidt, P. Heinemann, L. He, T. Kon, S. Sherif10, J. Clements1, and C. Layer IHC 2022, 31st International Horticultural Congress, 14-20 August, 2022,…
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 A Modified Apple Fruit Set Prediction Model to Guide Repeat Thinner Applications
” The Fruitlet Growth Rate Model is a powerful model for predicting fruit set, but adoption of the model has been limited due to real or perceived time constraints and/or a measurement-intensive procedure. We have developed a simplified procedure based on sampling and weighing fruitlets from harvested spurs which generates accurate, real-time predictions of fruit set…
PACMANPrecision Apple Cropload MANagement