Abhiraj S Kumar
Papers
2
Total Citations
7
H-Index
1
About
Abhiraj S Kumar is a researcher at the forefront of applied artificial intelligence, with a primary focus on environmental sustainability and precision agriculture. His work masterfully integrates deep learning, specifically YOLO-based object detection algorithms, with Internet of Things (IoT) sensor networks to solve pressing real-world problems. Kumar’s most impactful contribution, "Waste Detection and Classification Using Yolo Algorithm and Sensors" (2023), directly addresses India’s monumental waste management crisis—over 150,000 tonnes of daily municipal solid waste—by proposing an automated system for identifying and sorting garbage, a critical step toward cleaner, healthier cities. Building on this expertise, his more recent work, "Autonomous IoT-Integrated Tomato Plant Disease Detection: Harnessing YOLOv8 Algorithm and Micro-Navigation for Precision Agriculture" (2024), extends his methodology to agriculture, creating a micro-navigating robot capable of detecting diseases in tomato plants, a vital crop for Indian cuisine. While his citation counts are currently modest (6 and 1 respectively), the timeliness and practical applicability of his research—targeting sanitation and food security—signal a promising trajectory. Kumar’s work exemplifies how cutting-edge computer vision can be democratized for grassroots impact in developing nations.
Research Focus
Key Achievements
Top Papers
- 1Waste Detection and Classification Using Yolo Algorithm and Sensors6 citations · 2023
- 2