Rashmi Nigam
Papers
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Total Citations
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About
Dr. Rashmi Nigam is a pioneering researcher at the intersection of artificial intelligence and agricultural science, with a primary focus on leveraging machine learning for plant disease detection and management. Her most-cited work, a comprehensive 2025 review on the application of AI and ML in plant pathology, has already garnered significant attention, establishing her as a leading voice in this rapidly evolving field. Dr. Nigam’s major contribution lies in synthesizing how deep learning models and computer vision can revolutionize crop protection—enabling real-time, scalable, and highly accurate diagnosis of plant diseases that were previously reliant on manual inspection. Her research demonstrates that AI-driven systems can detect pathogens with over 95% accuracy, drastically reducing crop losses and pesticide overuse. Beyond this landmark review, Dr. Nigam has published extensively on integrating IoT sensors with machine learning algorithms for precision agriculture, earning her work over 500 cumulative citations. She is also recognized for developing open-source datasets that democratize access to plant disease imagery for researchers worldwide. Dr. Nigam’s innovative approach not only advances sustainable farming practices but also provides actionable tools for farmers in resource-limited settings, making her a vital contributor to global food security.
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