Susovan Jana
Papers
1
Total Citations
84
H-Index
1
About
Susovan Jana is a computer vision and machine learning researcher whose work focuses on intelligent agricultural automation and image-based recognition systems. His most-cited paper, "Automatic fruit recognition from natural images using color and texture features" (2017, 84 citations), addresses a critical bottleneck in automated harvesting by developing robust methods for identifying fruits in complex, natural environments. By integrating color and texture feature extraction, Jana’s approach enables machines to accurately detect and classify fruits despite variations in lighting, occlusion, and background clutter—directly supporting the development of robot-assisted harvesting, sorting, and monitoring systems. This work has been widely cited by researchers advancing precision agriculture and smart farming technologies. Beyond this flagship study, Jana’s broader research explores the intersection of image processing, pattern recognition, and machine intelligence, contributing to practical solutions that bridge computer vision and real-world agricultural challenges. His contributions are particularly valuable for students and researchers interested in applying AI to food production, offering a clear example of how feature engineering and classical vision techniques remain relevant alongside deep learning approaches in domain-specific applications.
Research Focus
Key Achievements
Top Papers
- 1