About
The Agricultural Intelligence Lab focuses on applying artificial intelligence in agricultural applications for improved productivity and sustainability. By utilizing an Unmanned Aerial System (UAS) equipped with the appropriate remote sensing technology, coupled with the use of artificial intelligence and data science, powerful innovations and breakthroughs can emerge.
BSE AREAS OF EXCELLENCE
#SmartandAutonomous Biological Systems
#Sustainable Engineering Systems
Current Projects
Intelligent Spraying UAS
Although agricultural chemical applications in North America today are still dominated by large-size manned ground sprayers and aerial applicators, unmanned aerial application systems or spraying drones are beginning to emerge in the arena. They provide a practical solution in situations where ground-based spraying rigs and large manned aerial applicators cannot easily access or have lower economic gains, such as vineyards, wetlands with aquatic animals, and small fields and pastures hemmed in by trees or bordered by other hazards.
The overall goal of this project is to develop a framework for next generation unmanned aerial application systems that can be used to realize real-time sensing, computing, and site-specific aerial applications in agriculture.
Cyber Physical Systems Project
This multidisciplinary effort address challenges in today’s variable rate technology in agricultural production by tightly integrating sensing, networking, A.I., and process-based modeling with classic plant and soil biophysical principles. This integration then provides a generalizable and scalable framework for improved in-season variable-rate water and nitrogen management. Learn more
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Join our Team
join our lab today see open positions below:
-No current open positions
Undergraduates interested in volunteering in the lab contact: Dr. Yeyin Shi