A UCF team is working to develop AI-driven technologies to improve the agriculture industry’s field operations and make farming more efficient. “We anticipate that each AI method will advance its respective state-of-the-art technology and can have performance superior to existing or traditional methods,” says Yunjun Xu. He is focusing on AI methods for motion control and scheduling in autonomous ground robots used in open fields to detect diseases or harvest crops.
Ladislau Bölöni is working on integrating AI into the manipulation of agricultural robotic arms to improve the way they interact with the physical environment. Chen Chen is investigating a new AI method for the sensors used in precision agriculture, which uses technology to make more accurate and informed decisions. Swadeshmukul Santra is working to integrate AI into the analysis of pesticide residues.
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