{"name": "CropSense", "package_name": "CropSense", "description": "Calculate 22+ vegetation indices from multispectral drone imagery. Supports separate band TIFs and stacked GeoTIFFs. Includes custom index formula builder.", "about": "CropSense automates vegetation index calculation from UAV/drone multispectral imagery. Select a folder containing band sub-folders (blue, green, red, red edge, nir) or a stacked multi-band GeoTIFF. Calculates NDRE, GNDVI, NDVI, MCARI, EVI, SAVI and 16 more indices. Custom index formula builder included. All outputs are saved as GeoTIFFs and loaded into QGIS automatically.", "homepage": "https://github.com/Lalitgis/CropSense", "repository": "https://github.com/Lalitgis/CropSense", "tracker": "https://github.com/Lalitgis/CropSense/issues", "author": "Lalit BC at Map Mentors Spatial Research Lab", "tags": ["remote sensing", "gndvi", "multispectral", "evi", "uav", "ndvi", "precision agriculture", "vegetation index", "mcari", "drone", "rice", "ndre", "nitrogen", "raster"], "downloads": 741, "latest_version": "1.1.1", "versions": [{"version": "1.1.1", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "3.99.0", "downloads": 741, "uploaded_by": "lalitbc143", "upload_datetime": "2026-04-11T19:16:53.188519"}]}