AgrO describes agronomic practices, techniques, and variables used in agronomic experiments.

AgriSegment — A multi-modal plant segmentation suite for agricultural research. It offers four FastAPI-powered tools—Hybrid (SegFormer + SAM), Interactive (real-time SAM), Semantic (batch SegFormer), and Panoptic (Mask2Former)—making AI-driven plant segmentation accessible to non-programmers.

This project aims to build a software that can download Sentinel-2 satellite images in batch for data analysis.

Curated by IXYZ list of OpenSource projects in indoor/outdoor agriculture automation, crop steering and cannabis cultivation

AGRIPEN is an intelligent soil analysis device designed to help farmers make data-driven decisions. Using advanced sensors and AI-powered insights, AGRIPEN measures humidity, pH, temperature, salinity, and nutrients — delivering instant results to your mobile app or dashboard. Built for accuracy, durability, and modern agriculture.

Repository of Jupyter notebooks aimed at learning how to use Python to retrieve data from Google Earth Engine

Oil palm growth and yield model for Malaysian growing conditions

Alternative chill models and functions to handle or download weather data

A farm plotting tool that optimizes plant placement by using permaculture practices and making the best use of available space.

Workshop Git & GitHub para R en Agronomía

Course material for LSU AGRO 4092: R for Spatial Analysis & Visualization

R implementation of the grassland model ModVege.

Image processing and analysis pipeline to perform digital phenotyping of carrots.

an Agro-tourism web app promoting sustainable income generation for farmers while providing authentic agricultural experiences for tourists. Won 🏆 3rd 🏆 position in Anveshan 2.0 hackathon

Ferramenta completa para análise estatística experimental na agricultura. Suporta DIC, DBC, esquemas fatoriais, diagnóstico de pressupostos e superfícies de resposta 3D interativas. Feito em R/Shiny.

Compute meteorology variables related to plants / crops

Aplicación web de machine learning para recomendación de cultivos agrícolas

Integrated Agronomic Analytics: Combining Random Forest (ML) for regional wheat yield prediction and DeepLabV3+ (CV) for fine-grained plant organ segmentation. Includes an interactive Tableau dashboard.

A interactive soil and crops indicators visualization aplication. Visualize and compare soil health using proposed or customized methods.

Triângulo Textural para classificação do solo desenvolvido com o HTML Canvas