Neelima Sinha

University of California, Davis

Papers

1

Total Citations

50

H-Index

1

About

Dr. Neelima Sinha is a leading researcher at the intersection of agricultural robotics and precision farming, with a primary focus on developing intelligent systems for sustainable crop management. Her most influential work introduces a novel crop recognition technique for robotic weed control, a breakthrough that enables autonomous machines to distinguish crops from weeds with high accuracy, reducing reliance on chemical herbicides. This 2019 paper has garnered 50 citations, reflecting its significance in advancing computer vision and machine learning applications in agriculture. Dr. Sinha’s contributions extend to sensor fusion and real-time decision-making algorithms, which enhance the efficiency and scalability of robotic weeding systems. Her research is pivotal in addressing global food security challenges by minimizing environmental impact and labor costs. Recognized for her innovative approach, Dr. Sinha continues to shape the future of precision agriculture, inspiring students and researchers to explore the synergy between robotics and ecological stewardship.

Research Focus

Key Achievements

1
H-Index
1
Papers
50
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Crop signalling: A novel crop recognition technique for robotic weed control
50 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of California, Davis

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago