Divya Nimma
Papers
3
Total Citations
33
H-Index
3
About
Divya Nimma is a rising researcher at the intersection of artificial intelligence, sustainable agriculture, and autonomous robotics. Her work centers on applying big data analytics and AI to optimize crop yields in sustainable farming systems, a contribution that has already garnered 17 citations for her 2025 study. Nimma has also pioneered the integration of consumer electronics—such as drones and sensors—into precision agriculture, notably using low-cost aerial imagery to classify wheat lodging types (root vs. stem lodging), a critical challenge for crop quality and yield. This innovative approach, published in 2025 with 12 citations, demonstrates how accessible technology can address real-world agricultural problems. In the domain of disaster response, Nimma developed a hybrid deep reinforcement learning and particle swarm optimization method for dynamic path planning of autonomous robots in forest fire scenarios (2024, 4 citations), enhancing navigation in hazardous, changing environments. Her work bridges computational methods with pressing environmental and food security challenges, marking her as a promising voice in applied AI.
Research Focus
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Top Papers
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