Sajeeb Kumar Ray
Papers
1
Total Citations
7
H-Index
1
About
Dr. Sajeeb Kumar Ray is a rising researcher at the forefront of applying deep learning to agricultural technology. His primary research focus lies in developing intelligent computer vision systems for precision agriculture, particularly in plant health monitoring and disease detection. Dr. Ray’s most notable contribution is the introduction of a novel Dual-Head Convolutional Neural Network (DH-CNN), a groundbreaking architecture that simultaneously classifies plant species and identifies diseases from leaf images. This dual-task capability represents a significant leap forward from traditional single-purpose models, offering a more efficient and holistic approach to crop surveillance. His 2025 paper on this innovation has already garnered 7 citations, signaling its rapid impact on the field. By enabling faster, more accurate diagnoses of plant ailments, Dr. Ray’s work directly addresses critical challenges in food security and sustainable agriculture. His research is particularly valuable for students and practitioners seeking to harness deep learning for real-world environmental monitoring, bridging the gap between cutting-edge AI and practical, on-the-ground agricultural solutions.
Research Focus
Key Achievements
Top Papers
- 1