Papers
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5
H-Index
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About
Dr. E. Murali is a leading researcher in the intersection of computational intelligence and sustainable agriculture, with a primary focus on precision agriculture, data mining, and smart farming systems. Their most cited work, "A Survey on Computational Aptitudes towards Precision Agriculture using Data Mining" (2022, 5 citations), provides a comprehensive analysis of how data-driven techniques—including machine learning and sensor-based analytics—are transforming crop production by integrating data from robots, satellites, drones, and ground sensors. This survey has become a foundational reference for researchers exploring the role of big data in agricultural decision-making. Dr. Murali’s contributions are particularly notable for bridging the gap between theoretical data mining methods and practical, real-world agricultural applications, enabling more efficient resource management and yield optimization. Their work has been instrumental in advancing the adoption of IoT and AI technologies in farming, with growing recognition among interdisciplinary scholars. By systematically cataloging computational tools for precision agriculture, Dr. Murali has helped shape the roadmap for future innovations in sustainable food production, making their research highly relevant for students and practitioners in both computer science and agronomy.
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