Santosh Chopde
Papers
1
Total Citations
16
H-Index
1
About
Santosh Chopde is a researcher whose work lies at the intersection of computer vision and agricultural quality assurance. His most-cited paper, a 2017 review titled "Developments in computer vision system, focusing on its applications in quality inspection of fruits and vegetables," has garnered 16 citations and addresses a critical challenge: the need for fast, accurate, and objective methods to replace tedious, labor-intensive manual food inspection. This foundational review synthesizes advancements in computer vision systems for detecting defects, grading produce, and ensuring safety standards—work that is increasingly vital for a growing global population and complex supply chains. Chopde’s contributions highlight how automated visual inspection can reduce post-harvest losses and enhance food quality, making his research particularly relevant for students and engineers working on AI-driven agricultural technologies. By bridging engineering and food science, his work underscores the practical impact of computer vision in solving real-world problems, from farm to table.
Research Focus
Key Achievements
Top Papers
- 1