K. Gayathri Devi

Papers

2

Total Citations

17

H-Index

2

About

Dr. K. Gayathri Devi is a researcher at the forefront of agricultural technology, specializing in the application of deep learning and robotics to enhance crop management and farming efficiency. Her work directly addresses critical challenges in developing countries like India, where improving agricultural productivity is paramount. Dr. Devi’s major contributions include pioneering the use of adaptive moment estimation (Adam) optimizers in deep learning networks for the accurate prediction and classification of corn leaf diseases, a method that has garnered 11 citations for its precision in early detection. She has also conducted comprehensive surveys on the design of autonomous and semi-autonomous pesticide sprayer robots, analyzing hardware and implementation strategies to replace manual labor with intelligent, efficient machines. With a total of 17 citations across her most-cited works, Dr. Devi’s research is instrumental in bridging the gap between cutting-edge AI and practical, real-world farming solutions. Her notable achievements lie in developing scalable, technology-driven approaches that promise to revolutionize disease management and pesticide application, ultimately contributing to more sustainable and productive agricultural systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
17
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Accurate Prediction and Classification of Corn Leaf Disease Using Adaptive Moment Estimation Optimizer in Deep Learning Networks
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago