The project aims to develop intelligent harvesting machines for nut trees that automatically adjust shaking parameters for each tree. This optimizes fruit removal, reduces tree damage, and decreases energy input and fuel consumption. The two-year project focuses on almond trees in the first year and pistachio trees in the second year. Multiple sensors will collect tree-specific data, including trunk diameter, while an AI model predicts optimal shaking parameters based on tree parameters. An acoustic- based fruit drop rate sensor will help operators determine when to stop shaking. The project outcome will be a model integrated into existing harvesting machines’ hydraulic control systems for optimal shaking frequency.
Enhancing Mechanical Harvesting Machines for Nut Trees Using a Data-Driven Model
