Amardeep Singh

Papers

Total Citations

H-Index

About

Amardeep Singh is an emerging researcher working at the intersection of computer vision, machine learning, and real-world environmental and agricultural challenges. His work demonstrates a strong commitment to applying cutting-edge technology to pressing global problems, spanning two distinct but complementary domains. In precision agriculture, Singh has contributed to automated pest detection systems, specifically developing image enhancement and machine learning techniques to identify whitefly infestations in crops — a persistent threat to global food security. This research reflects the growing movement toward technology-driven agricultural solutions that reduce human error and improve crop protection efficiency. Equally notable is his work in environmental monitoring, where Singh has applied edge-based object detection algorithms to identify and track microplastic debris — one of the most critical pollution challenges of our time. By leveraging computer vision at the hardware level, his approach offers scalable, real-time solutions for environmental surveillance. Though early in his academic career with a cumulative citation count of 4 across his 2023 publications, Singh's research portfolio already reflects meaningful interdisciplinary ambition. Students and researchers interested in applied machine learning for sustainability and agriculture will find his work a valuable and forward-looking reference point.