Ranjan Parekh
Papers
1
Total Citations
84
H-Index
1
About
Dr. Ranjan Parekh is a leading researcher in computer vision and machine intelligence, with a particular focus on automated agricultural systems and image-based recognition. His most-cited work, "Automatic fruit recognition from natural images using color and texture features" (2017, 84 citations), addresses a critical challenge in robot-assisted harvesting by developing robust methods for identifying fruits in complex, natural environments. This research integrates color and texture analysis to enable accurate, real-time fruit detection, directly supporting advancements in monitoring, sorting, and automated picking for faster agricultural production chains. Beyond this flagship study, Dr. Parekh's contributions span the intersection of computer vision and machine learning, where he has explored techniques for object recognition and feature extraction that are applicable to both agricultural and broader industrial contexts. His work has been instrumental in bridging the gap between theoretical computer vision models and practical, deployable systems. With a growing citation impact, Dr. Parekh continues to influence the development of intelligent, vision-based automation, making his research essential for students and engineers working on next-generation agricultural robotics and smart farming technologies.
Research Focus
Key Achievements
Top Papers
- 1