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
A data-driven exploration of water stress and AI infrastructure in the U.S. Project by Chelsea Bann. Published August 8, 2025.
Streamlit web app for classification and forecasting of water stress in tomato plants using Bioristor data and deep learning models.
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