This research explores advanced image classification techniques for crop classification using Sentinel and Landsat datasets. The study's findings equip science students and professionals with sophisticated methods to enhance crop monitoring precision. Improved accuracy in crop classification supports informed decision-making in agriculture, benefiting both research and practical applications.
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