Ayushi Singh
Papers
1
Total Citations
3
H-Index
1
About
Ayushi Singh is a researcher at the forefront of applying deep learning to precision agriculture, with a primary focus on computer vision for crop detection and harvesting automation. Her most-cited work, "Cotton Detection Using YOLOv5" (2024, 3 citations), tackles a critical bottleneck in cotton farming: the accurate identification of cotton blooms amidst dense foliage. Singh’s major contribution lies in adapting the YOLOv5 object detection framework to overcome occlusion challenges, enabling real-time, reliable detection that can significantly reduce labor dependency and improve harvest consistency. This work directly addresses the inefficiencies of manual harvesting, which often leads to yield and quality variability. Though early in her career, Singh’s research signals a promising trajectory in agricultural AI, where her innovations could streamline farm operations and boost productivity. Her efforts exemplify how cutting-edge computer vision can transform traditional, labor-intensive practices into data-driven, automated systems, making her a rising voice in sustainable agriculture technology.
Research Focus
Key Achievements
Top Papers
- 1Cotton Detection Using YOLOv53 citations · 2024