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This research presents a novel machine learning-driven crop recommendation system aimed at revolutionizing Indian agriculture.By integrating ensemble algorithms and diverse data on climate and soil conditions, the system provides tailored crop suggestions to farmers, enhancing productivity and sustainability.Future endeavors will focus on refining the system's accuracy and usability.Our system utilizes past data to offer insightful suggestions for optimal crop selection, addressing the unique needs and preferences of individual farmers.[1]The proposed system signifies a significant step towards modernizing agricultural practices and maximizing crop yield in India.
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Sharma et al. (2024) studied this question.
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