An R package for simulating Generalised Management Strategy Evaluation

Public repository for content related to the the Plotline project.

Platform for direct visualization, analysis and reporting of soil organic carbon predictions and changes over time.

Screener for SNAP. Built in partnership with Hunger Free Oklahaoma and TPS. Very special thanks to volunteers Travis Miller, Cody Walinciak, Kendall Wertz, and Chris Doe.

Data Analysis on Iran FAO datasets

An Android app that helps notify low-income local community members about the free meal distribution events organized by the non-profit Berea Kids Eat in Berea, KY.

This repository contains machine learning models for estimating cropland types (irrigated, non-irrigated, no crop) to assess climate change impact on agricultural land suitability across various carbon emission scenarios.

Guide to Nutrition and Food Security Assessment

Corn leaf diseases detection App built with Tensorflow, Keras and Streamlit

Lanka Kitchen is an initiative by Team Watchdog to help community kitchens, ration groups, and other mutual aid organizations run their operations smoother and get support from the communities they serve.

Entry for Feeding9Billion challenge at Memorial University which focuses on providing solutions that foster food security.

Crop production analysis using remote sensing

DEPRECATED (go to https://github.com/ENVIRO-Module/nis-backend) - Backend of NIs (Nexus Information System, a development inside "MAGIC" H2020 project) - Sustainability accounting of Water-Energy-Food Nexus in Socio-Ecological Systems using MuSIASEM modeling

Coupled Natural Human Systems at the Ridge-2-Reef Climate and Life program at UC Irvine, August 2018

We invite users all across the nation to build a food stamp pre-screeners for different states and target populations.

Data dump of all Public Distribution Shops in India

An R package for calculating and analyzing food demand and in accordance with the Edmonds et al food demand model

This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.

Get WFP VAM & monitoring data with Python, STATA or R

My all-things-compost repo of knowledge