Set of Machine Learning Algorithms developed with the aim of determining health states of different types of crops
This repo contains the code to generate the two ready-to-use unified layers of State of Nature (SoN) for water -- one for water availability and one for water pollution -- in line with the in line with the SBTN Technical Guidance for Steps 1: Assess and Step 2: Interpret & Prioritize.
Agricultural water stress detection using satellite remote sensing (Sentinel-2, MODIS) and in-situ data for Tensift Basin, Morocco
Streamlit web app for classification and forecasting of water stress in tomato plants using Bioristor data and deep learning models.
A data-driven exploration of water stress and AI infrastructure in the U.S. Project by Chelsea Bann. Published August 8, 2025.
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