Aravind Krishnaswamy Rangarajan

SASTRA University

Papers

1

Total Citations

19

H-Index

1

About

Aravind Krishnaswamy Rangarajan is a leading researcher in the intersection of precision agriculture and artificial intelligence, with a primary focus on developing low-cost, scalable solutions for crop disease detection. His most-cited work, a 2022 study on using a low-cost UAV equipped with a deep convolutional neural network to detect Cercospora leaf spot in okra, has garnered 19 citations and exemplifies his commitment to making advanced technology accessible for smallholder farmers. By integrating unmanned aerial vehicles with deep learning, Rangarajan has pioneered methods that significantly reduce the time and cost of manual crop monitoring, enabling early and accurate disease identification. His contributions are pivotal in bridging the gap between cutting-edge AI and practical agricultural challenges, particularly in developing regions. Through this innovative approach, he has not only advanced the field of agricultural informatics but also provided a tangible tool for improving food security and reducing pesticide overuse, marking him as a key figure in sustainable farming technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
19
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
A low-cost UAV for detection of Cercospora leaf spot in okra using deep convolutional neural network
19 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: SASTRA University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago