Precision Tech for Sustainable Orchards
Purdue Wins $400,000 NSF Grant for AI Orchard Robotics
Researchers develop autonomous drones and ground robots to detect and treat apple tree diseases precisely.

A high-tech ground robot and an aerial drone operating within an apple orchard at dusk.
Photo: Avantgarde News
Purdue University received a $400,000 grant from the National Science Foundation (NSF) to develop an AI-driven robotic system for apple orchards [1][2]. The project, led by Assistant Professor Yu She, uses autonomous aerial and ground robots to identify early signs of disease [1][3]. The system employs drones for rapid aerial assessments and ground robots for close-up confirmation and targeted chemical application [3]. This technology aims to reduce pesticide use, lower costs for farmers, and improve agricultural sustainability [1][4]. Part of the international AI-ENGAGE initiative, this research involves collaborators from Australia, India, and Japan [2][4]. The program modernizes farming through the Quad partnership to address global food security challenges [2][3].
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Avantgarde News Desk covers precision tech for sustainable orchards and editorial analysis for Avantgarde News.