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Autonomous Apple Fruitlet Sizing and Growth Rate Tracking using Computer Vision
Harry Freeman1, Mohamad Qadri1, Abhisesh Silwal1, Paul O’Connor2, Zachary Rubinstein1, Daniel Cooley2, and George Kantor1 1Carnegie Mellon University Robotics Institute, PA, USA 2University of Massachusetts Amherst Stockbridge School of Agriculture, MA, USA Abstract – Measuring growth rates of apple fruitlets is important because it allows apple growers to determine when to applychemical thinners to their
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Publication: Digital Technologies for Precision Apple Crop Load Management (PACMAN) Part I: Experiences with Tools for Predicting Fruit Set Based on the Fruit Growth Rate Model
Anna Wallis, Jon Clements, Mario Miranda Sazo, Craig Kahlke, Karen Lewis, Tom Kon, Luis Gonzalez, Yu Jiang and Terence Robinson Reprinted from Fruit Quarterly, Volume 31, Number 1, Spring 2023 Decades of work have demonstrated that PACMAN (Precision Apple Crop load MANagement) is an extremely effective method for successfully managing crop load. Effective crop load
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It’s a wrap…
The last of the PACMAN show & tell’s are posted on the WSU CAHNRS YouTube channel here: https://www.youtube.com/playlist?list=PLajA3BBVyv1zc9xkiCSPqj3rEjW2vJ4Yb These now include updates from the PACMAN engineering team, including: 14 – 3-D Imaging and Digital Twin for Specialty Crops (Yu Jiang, Cornell University) 15 – Crop Load Adjustment Based on Early Flower Detection (Long He, Rashmi
PACMANPrecision Apple Cropload MANagement