Chatrabhuj
Papers
2
Total Citations
20
H-Index
2
About
Chatrabhuj is an emerging researcher at the intersection of artificial intelligence, sustainable agriculture, and environmental conservation. Their work centers on applying advanced AI and deep learning techniques to address critical challenges in agri-tech, biodiversity protection, and sustainable development. A key contribution is the development of an augmented deep learning model for estimating Sustainable Development Goals through satellite image analysis, demonstrating how computational methods can monitor global progress. Their most-cited paper, "Application of artificial intelligence in agri-tech, environmental and biodiversity conservation" (2025, 14 citations), explores AI-driven solutions for smart crop management, plant breeding, livestock farming, and precision aquaculture—showcasing how technology can enhance agricultural efficiency while preserving ecosystems. Though early in their career, Chatrabhuj’s work has already garnered attention for its practical, interdisciplinary approach. By bridging AI with environmental science, they are helping to shape a future where data-driven tools support both food security and ecological resilience. Their research holds promise for policymakers, farmers, and conservationists seeking scalable, intelligent solutions to global sustainability challenges.
Research Focus
Key Achievements
Top Papers
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