Teleoperated Strawberry Picking

Overview



This project proposes a website to aid in the picking, identification, and classification of strawberries. This website contains three portals designated for pickers, farm managers, and technical administrators. Pickers are provided with an image of a strawberry plant for classifying berry and plant characteristics (red, green, tip burn, iron deficiency, mildew, gray mold, bird damage, anthracnose, leaf spot, etc.). Farm managers visualize user inputs registered spatially and temporally on a mapping service (Google Maps). Technical administrators have access to website maintenance tools and can customize functionality for all users. These user-defined plant characteristics can be used to improve machine learning and artificial intelligence techniques.

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Meet the Researchers

Christopher Lee
Mitchel Davis
Thomas Simko
Alex Martin
Jonathan Pautz

Cal Poly Undergraduate Program

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