D. Saranesh
Papers
1
Total Citations
9
H-Index
1
About
D. Saranesh is a researcher whose work has centered on the integration of deep learning and Internet of Things (IoT) technologies for agricultural automation and fine-grained environmental monitoring. His most cited paper, "Detection and Recognition of Species using Deep Convolution Neural Network" (2022, 9 citations), explores the application of Deep Neural Networks (DNN) for species identification, aiming to enhance precision in farming robotization and control systems. This work reflects his broader interest in leveraging computational methods to address challenges in agriculture and ecological tracking. While his publication record is still developing, Saranesh’s contributions highlight the potential of combining IoT sensor data with convolutional neural networks for real-time decision-making in smart farming. His research sits at the intersection of applied machine learning and agricultural technology, offering insights into how automated systems can improve efficiency in species management and monitoring. As his citation impact grows, Saranesh’s work continues to contribute to the expanding field of AI-driven environmental and agricultural solutions.
Research Focus
Key Achievements
Top Papers
- 1