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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
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CROP ROBOTICS 2022, BEYOND THE VALLEY OF DEATH
“Are we finally starting to see the adoption of labor-saving robots in agriculture? The short and unfulfilling summary answer is “It depends”. Undeniably, we are seeing clear signs of progress yet, simultaneously, we see clear signs of more progress needed.” https://www.forbes.com/sites/themixingbowl/2022/10/15/crop-robotics-2022-beyond-the-valley-of-death/?sh=31ed82913816
PACMANPrecision Apple Cropload MANagement