Prashant Dwivedi

Prashant Dwivedi received the B.Tech degree in Electronics and Communication Engineering from the Uttar Pradesh Technical University, Lucknow, Uttar Pradesh, India, in 2015. Presently, he is pursuing his M.Tech degree in electronics and communication engineering (specialization: Signal and Image Processing) from the NIT Rourkela, Odisha, India. His current research interests include Artificial Intelligence and Object Detection.

Publications

YOLO-IP: An Efficient and Robust Deep Learning Framework to Detect Insect Pests for Agricultural Applications
YOLO-IP: An Efficient and Robust Deep Learning Framework to Detect Insect Pests for Agricultural Applications
Rashmiranjan Nayak, Prashant Dwivedi, Umesh Chandra Pati. © 2023. 26 pages.
The food security of any country may be jeopardized due to improper management of agricultural insect pests. Accurate pest detection and efficient pest control strategies must be...