معرفی
Pappu Yadav is an Assistant Professor in the Department of Agricultural and Biosystems Engineering at South Dakota State University (SDSU), with an 80:20 research-teaching split. His academic roles include teaching PRAG 304/304L: Electrical Diagnostics for Farm Machinery and AST 426/426L: Technology Applications for Precision Agriculture. Prior to joining SDSU, he held a postdoctoral position at the University of Florida (2022–2023) and worked as an electrical equipment technician at the Center for Irrigation Technology (2014–2018).
Dr. Yadav’s research focuses on precision agriculture, remote/proximal sensing using multispectral/hyperspectral imaging, thermal/fluorescence imaging, and AI-driven technologies like computer vision, unmanned systems, and agricultural robotics. His work addresses crop disease management, irrigation optimization, and precision spraying.
He has received notable awards including the 2023 SPIE-DCS Best Student Paper Runner-Up Award and the 2020 Beltwide Cotton Conferences Best Paper Award. He is affiliated with the Machine Vision and Optical Sensor (MVOS) Lab at SDSU and holds professional memberships in the American Society of Agricultural and Biological Engineers (ASABE) and SPIE.
His research portfolio spans over 40 peer-reviewed articles, with recent emphasis on citrus disease detection via hyperspectral imaging, E. coli contamination monitoring, and agricultural robotics for crop phenotyping. He collaborates on projects funded by agencies like the USDA and industry partners in precision agriculture.
