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Ali-bader/Remote-Sensing-Based-Crop-Classification-and-Health-Assessment-

Domaine:

agriculturegeospatial

Type de record:

project
Créateur:
Ali
Hôte:
Project's goal: Crop classification in Gezira state, Sudan using Sentinel-2 imagery (July to December 2016). QGIS plugin Dzetsaka enables supervised classification of Cotton and Sorghum crops, ensuring accurate data for crop management and food security by calculating cultivated areas.