Sourodeep Bhattacharjee

Central Mechanical Engineering Research Institute

Papers

Total Citations

H-Index

About

Sourodeep Bhattacharjee is a researcher at the intersection of tactile sensing, machine learning, and agricultural automation. His most recognized work, "Vegetable Grading Using Tactile Sensing and Machine Learning" (2014, 7 citations), pioneers the application of haptic feedback and pattern recognition to non-destructive quality assessment of produce. By integrating tactile sensor arrays with classification algorithms, Bhattacharjee demonstrated how subtle textural and firmness variations could be automatically detected, offering a cost-effective, sensor-based alternative to traditional visual grading systems. This contribution addresses a critical bottleneck in post-harvest processing, reducing human error and enabling scalable, real-time sorting. Though his citation count is modest, the work’s interdisciplinary nature—spanning robotics, agriculture, and data science—has informed subsequent studies in smart farming and soft robotics. Bhattacharjee’s approach highlights how low-cost tactile sensors, combined with machine learning, can democratize precision agriculture for smallholder farms. His research remains a foundational reference for engineers seeking to bridge physical sensing and computational decision-making in food quality control, underscoring the potential of tactile intelligence in transforming agricultural supply chains.