Open Intelligence for Every Farm - Monitor crop health with satellite imagery, detect anomalies early, and make data-driven decisions.
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Updated
Mar 19, 2026 - TypeScript
Open Intelligence for Every Farm - Monitor crop health with satellite imagery, detect anomalies early, and make data-driven decisions.
VICAL is a open-source implementation to calculate 23 VIs map (VIs commonly used in agricultural applications) and time series of any agricultural area
Sentinel-2 images are Multi-Spectral satellite images (Electro-optical). Here, utility functions and various index analyses are implemented.
Toolkit created to do extraction, gap-filling and trend analysis over Sentinel 2 time-series from Earth Engine
This repo contains source code and other resources for Normalized Difference Vegetation Index (NDVI) experiments
A selection of custom developed python codes for use in various drone imaging applications, such as batch conversion of DNG (RAW) drone images to JPEG or PNG, use of the rawpy library features of demosaicing, gamma factor correction and use of skimage library to demonstrate histogram histogram equalization in colour images to create better contr…
NDVI using RPi camera
AI in agriculture
GreenRoots: An AI/ML project dedicated to promoting mangrove sustainability and fostering community engagement in mangrove conservation efforts.
(Semester 1) Intelligence of Biological Systems - End Semester Project
Extract - Transform - Load (ETL) workflow integrating Earth Engine and Meteostat data to monitor wildfire-related conditions across Portugal.
The NDVI Time-Series Analyzer is a Python script that calculates and visualizes the Normalized Difference Vegetation Index (NDVI) for given geospatial points over a specified time range using Sentinel-2 L2A imagery.
Tool for the placement of green cells on the Bologna landscape using specifically designed combinatorial optimization techniques. To display our results check the link.
The repository is a duplicate of the local folder which contains codes created by Yuanzhan Gao (yg8ch@virginia.edu) to conduct NDVI pixel value extractions on NASA's satellite data. Please see the README file for more information.
Integration of 4 spectral cameras with low level sensor fusion techniques to monitor Vegetation.
"Evaluating Nusantara's Ecological Footprint" uses remote sensing to analyze vegetation health around Indonesia's new capital, offering insights for sustainable urban planning
Calculating NDVI(vegetation index in russian)/ Вычисление NDVI (вегетационного индекса)
Script for automatic processing of Sentinel 2 images from Open Hub.
Store of a large HEA analysis completed under the SADC RVAA Programme for the national Dept of Agriculture, Forestry and Fisheries in 2016
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