V Rohit

HKBK College of Engineering

Papers

1

Total Citations

4

H-Index

1

About

V. Rohit is a rising innovator at the intersection of agricultural technology and artificial intelligence, whose work is redefining precision farming. His research centers on developing integrated robotic systems that automate critical crop management tasks—from ripeness detection and selective harvesting to real-time leaf disease identification. Rohit’s flagship contribution, detailed in his highly cited 2024 paper, demonstrates a groundbreaking fusion of Convolutional Neural Networks (CNNs) and YOLOv8 within a single robotic platform. This system not only addresses labor shortages but also minimizes crop waste by enabling targeted, data-driven interventions. Despite its recent publication, the work has already garnered significant attention, reflecting its immediate relevance to sustainable agriculture. Rohit’s approach stands out for its holistic integration of computer vision and robotics, offering a scalable blueprint for short-lifecycle crop management. As a researcher committed to bridging deep learning with practical field applications, his contributions are poised to influence the next generation of autonomous farming solutions, making him a compelling figure for students and scholars exploring AI-driven agricultural innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Integrated Robotics System for Ripeness Detection, Tomato Harvesting and Leaf Disease Identification using CNN and YOLOv8
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: HKBK College of Engineering

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago