Haigang Ma

Henan University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Haigang Ma is a leading researcher in agricultural artificial intelligence and precision farming, with a focus on developing lightweight, real-time object detection models for specialty crops. His most influential work, "FES-YOLOv5s: A Lightweight Model for Agaricus Bisporus Detection" (2024, 7 citations), addresses the critical challenge of accurately identifying mushrooms in complex growing environments where adhesion and occlusion are common. Ma’s major contribution lies in optimizing the YOLOv5s architecture—specifically through the integration of a FasterNet backbone—to create a computationally efficient yet highly accurate detection system suitable for deployment on resource-constrained devices. This innovation enables rapid, automated monitoring of Agaricus bisporus specimens, directly supporting smart agriculture initiatives. While his citation count is still growing, the practical impact of his work is significant: it provides a scalable solution for reducing labor costs and improving yield estimation in commercial mushroom production. Ma’s research bridges the gap between advanced computer vision and real-world agricultural needs, positioning him as an emerging voice in the field of deep learning for precision horticulture.