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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 Technical Guidance for Steps 1: Assess and Step 2: Interpret & Prioritize.
Group project by Mary Grace Barbacias, Sara Florido, and Inkyin May under the Crop and Ecosystems Modelling module in the University of Bonn (Summer Semester 2023). Uses SIMPLACE modelling software (water stress solution) developed by Bonn University.