Papers
1
Total Citations
50
H-Index
1
About
Jinyan Ju is a leading researcher in agricultural robotics and precision weed management, with a focus on integrating deep learning and autonomous navigation for paddy field operations. His most cited work, "Design and experiment of an adaptive cruise weeding robot for paddy fields based on improved YOLOv5" (2024), has already garnered 50 citations, reflecting its immediate impact on the field. In this study, Ju developed a novel robot that leverages an enhanced YOLOv5 algorithm for real-time weed detection and adaptive cruising, significantly improving weeding accuracy and operational efficiency in complex rice paddy environments. This contribution addresses a critical challenge in sustainable agriculture—reducing herbicide use while maintaining crop yields. Ju’s research bridges computer vision, robotics, and agronomy, offering scalable solutions for smart farming. His work is notable for its practical experimental validation, demonstrating that deep learning-based systems can be effectively deployed in unstructured, muddy field conditions. As a rising voice in agricultural automation, Ju’s innovations are paving the way for more intelligent, eco-friendly farming practices.
Research Focus
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Top Papers
- 1