Precision Agriculture Optimization
Leveraging multispectral drone data to optimize crop health and resource management for large-scale farms.

This project focused on enhancing agricultural productivity through precision farming techniques. We deployed drones equipped with multispectral sensors to capture data on crop health, including NDVI (Normalized Difference Vegetation Index) and other vegetation indices. The data was processed to create detailed maps that identify areas of stress, water logging, and nutrient deficiencies. These insights enabled farmers to apply fertilizers and pesticides more efficiently, reduce water consumption, and increase crop yields. Our work demonstrates the power of geospatial technology in creating sustainable and profitable agricultural operations.
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