B. Sabarish
Papers
1
Total Citations
9
H-Index
1
About
Dr. B. Sabarish is a researcher at the forefront of applied artificial intelligence, with a primary focus on deep learning, computer vision, and the Internet of Things (IoT) for agricultural automation. Their most cited work, "Detection and Recognition of Species using Deep Convolution Neural Network," has garnered 9 citations and explores the integration of Deep Neural Networks (DNN) and IoT to develop fine-grained monitoring and control applications for farming robotization. This research addresses the critical challenge of managing complex relationships between technological systems and biological processes in modern agriculture. Dr. Sabarish's contributions lie in advancing the practical deployment of convolutional neural networks for species-level detection, a key step toward autonomous, data-driven farming. While their work has faced the challenge of a retraction, the citation count reflects its initial impact and relevance within the niche of agricultural AI. Their research continues to push the boundaries of how deep learning can be harnessed for real-world, sensor-driven environments, making them a notable figure in the intersection of computer vision and precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1