Agriculture in Coimbatore forms a significant part of Tamil Nadu's agrarian heritage. It serves as a chief architect of agricultural fortunes for this state and sustains a primary livelihood for a large portion of its people. Being the third-largest district of Tamil Nadu, Coimbatore has further augmented itself in importance through its agricultural prowess, substantially beefing up the economic framework existing within the state. The study aims to devise predictive models to aid the farmer in choosing the best crops in certain subdivisions of Coimbatore. Thereby, with the help of greater data analysis, machine learning techniques, and improved visualization techniques, we try to augment sustainable agricultural development in the area. It becomes clear that while maximizing harvest efficiency, one must ensure that crops are laid out under an environment close to optimum, thus an emphasis on predictive analytics and data-driven decisions. The dataset has been further designed to enhance visualization with key agricultural parameters like soil micronutrient levels and historic crop data, complemented by the models, which take future weather predictions into account for accurate ag
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