Poster - #VH-36947 - Keywords: Drone, AI, Agriculture

AgriTransmit: Autonomous Drone System for Agricultural Data Monitoring

Weixing Guo, Vlad Rosca, Xinran Yang, Qiyuan Liu, Yunhao Liang
UC Berkeley School of Engineering

ABSTRACT:
In the U.S. alone, it is estimated that crop losses from plant pathogens cost up to $21 billion annually. We, at AgriTransmit, are leveraging the capability of autonomous drone systems to introduce a new specialized way of collecting soil and crop data to help farmers predict and respond in real-time.