Ritika Mehra
Papers
1
Total Citations
53
H-Index
1
About
Ritika Mehra is a leading researcher in computational agriculture and deep learning, whose work focuses on revolutionizing plant disease detection through advanced computer vision techniques. Her most cited paper, "Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model" (2022, 53 citations), introduces a novel hybrid framework that combines enhanced segmentation with heuristic optimization to accurately identify crop abnormalities. This contribution directly addresses the critical challenge of maintaining crop quality and productivity, which has profound implications for national economies dependent on agriculture. By integrating machine learning and image processing, Mehra’s research enables early, automated diagnosis of plant diseases, reducing reliance on manual inspection and minimizing crop loss. Her work stands out for its practical impact, offering scalable solutions for farmers and agronomists. With a growing citation record, Mehra is recognized for bridging the gap between artificial intelligence and sustainable farming, making her a key figure in the field of precision agriculture. Her achievements highlight the transformative potential of deep learning in safeguarding global food security.
Research Focus
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Top Papers
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