Shubham Sadhankar

Papers

Total Citations

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About

Shubham Sadhankar is a researcher at the forefront of applying smart communication technologies to agricultural challenges, with a particular focus on crop disease detection. His most-cited work, "Smart Communication System for Agriculture" (2022, 20 citations), addresses a critical bottleneck in precision farming: the accurate identification of tomato leaf diseases. Sadhankar’s contribution lies in exposing the limitations of conventional data augmentation techniques—such as rotation, flipping, and translation—which he argues are insufficient for improving disease recognition in tomato plants. By highlighting these constraints, his work pushes the field toward more sophisticated, context-aware solutions that can better capture the subtle visual cues of plant pathology. This research not only underscores the need for enhanced machine learning pipelines in agriculture but also provides a practical framework for farmers to monitor crop health more effectively. Sadhankar’s impact is evident in the growing interest his work has garnered, serving as a stepping stone for future innovations in smart farming and IoT-enabled agricultural systems. His efforts bridge the gap between communication technology and sustainable farming, making him a notable voice in the intersection of agritech and data science.