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Agriculture is crucial to India's economy, but growing population pressures food production. This book presents AI-driven approaches to help farmers in Tamil Nadu, a state in India, improve oilseed crop yields through four key modules. The first module guides farmers on selecting the best crops to cultivate based on regional and seasonal factors. The second module focuses on optimizing the type and amount of inorganic fertilizers for better crop production in specific districts. The third module addresses the use of organic manures, recommending the right kind and timing to enhance yield…mehr

Produktbeschreibung
Agriculture is crucial to India's economy, but growing population pressures food production. This book presents AI-driven approaches to help farmers in Tamil Nadu, a state in India, improve oilseed crop yields through four key modules. The first module guides farmers on selecting the best crops to cultivate based on regional and seasonal factors. The second module focuses on optimizing the type and amount of inorganic fertilizers for better crop production in specific districts. The third module addresses the use of organic manures, recommending the right kind and timing to enhance yield sustainably. The fourth module introduces a system for Integrated Nutrient Management, helping farmers choose the optimal combination of nutrient sources based on soil, crop, and climate conditions. Together, these modules form a comprehensive, user-friendly decision support system that promotes higher yields, cost efficiency, and sustainable farming practices.
Autorenporträt
Dr. Mithra C. is an Assistant Professor in Computational Intelligence at SRM Institute, Kattankulathur. She earned a Ph.D. in Computer Science and Engineering and an MBA in Marketing from Annamalai University. She holds an M.E. in Big Data Analytics. Her research focuses on Data Mining, Machine Learning and NLP with multiple publications.