Open source technology for agriculture, farming, and gardening

farmOS: A web-based farm record keeping application.

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

A PHP based, free, and open source farming management system.

A system that uses ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

Open source Farm management Information System (FMIS) - Connecting farms to the world

An open-source, low-cost, image-based weed detection device for in-crop and fallow scenarios.

Factura Electrónica AFIP y otros servicios web (proyecto software libre) — Interfases, tools and apps for Argentina's gov't. webservices (soap, com/dll simil-ocx, pdf, dbf, xml, json, etc.) #python

Building the Coffee Quality Institute Database

Agricultural Supply Chain Dapp With Micro-Finance

The core repository for the FOODON food ontology project. This holds the key classes of the ontology; larger files and the results of text-mining projects will be stored in other repos.

PyTorch implementation of the model presented in "Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention"

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

The official repository for the EuroCrops dataset.

Crop/Weed Field Image Dataset

PyTorch implementation of U-TAE and PaPs for satellite image time series panoptic segmentation.

One stop application for farmers. 📱👨‍🌾 It provides E-commerce, social media, reading articles, APMC statistics, weather forecasting, etc. This application uses the best technologies and practices and serves the need very well. 🚜

The world’s first community-led, not-for-profit, digital platform joining farmers and scientists together for participatory assessment of social, environmental and economic outputs of farming systems.