Beyond Commercialization – Engineering Research for Crop Load Management

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.

Introduction

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.

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