A curated collection of 45 high-quality RGB image datasets for computer vision in agriculture. Features datasets for weed detection, disease identification, and crop monitoring, focusing on natural field scenes. Part of our GIL 2025 survey paper.

A platform to enable affordable sensor networks

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

Public website for the Digital Agriculture Hackathon hosted by Purdue University, University of Kentucky, and Tuskeegee University

In this work we attempt to fill in the gap years for the US Agricultural Census in Utah counties. Open source data from NOAA, Agricultural Census, and BLS are used leveraging Machine Learning methods and models.

AgTech/AgriTech Data Analytics

Sketches and Book followed during the arduino_workshop_101

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

This is using to collect plant image during growing.

precision agriculture made easy! TechoFarmAustralia integrates drone-based multispectral imaging for in-depth crop monitoring in the NSW Riverina region. Empower your farm with advanced technology, seamless data exchange, and localized insights. Join us in revolutionizing agriculture!

Open Weeding Delta - AI based weed removal robot

This is meant to help farmers detect the type of disease in tomatoes based on their leaf defects

Plant disease detection using Machine Learning. This is an open source project that is a continuation from @imskr open source work https://github.com/imskr/Plant_Disease_Detection

Farmtech is a tool that aims to help the Tamilnadu farming community optimize crop production. The global demand for food greatly outstrips that for supply, and there is an urgent need for interventions to address this balance.

The Sencrop JavaScript API client

Leaf Buster AI is a machine learning project developed during the HackMerced VIII hackathon with the goal of the project being to help farmers identify and classify diseases in their crops using computer vision and artificial intelligence.

A simple simulator that generates latitude/longitude data. Simulates herding cattle north and updates location data every one minute.

Bootstrapper for DIY IoT projects with a focus on horticulture.

FarmStack is a digital infrastructure for secured data sharing for food and agriculture. FarmStack helps users share data directly with each other and enforce usage policy that restricts unintended misuse of data.

Agricultural robots is a repository to explore the use of Github while sharing research about agricultural robotics