AgIsoStack++ is the completely free open-source C++ ISOBUS library for everyone

Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.

🌱🌾🚜 Smart Farm (Iceburg) is a smart project that allows to interact and improve the management of agricultural farms.

A Rust implementation of the ISO11783 (ISOBUS) & J1939 protocols

👨🏻‍🌾 An Expert System for smart farming which provides the farmers with best solutions and hardware matching their needs exactly, with the ability to monitor and control the hardware remotely through the website UI in real-time.

AN IOT DEVICE CONNECTED WITH ANDROID APP FOR SMART IRRIGATION

A Smart-Farming solution for farmers to ease the process of farming with the help of IOT and ML . It provides the farmers a way to monitor their farms with IOT smart solutions and early plants disease detection through ML.

An (incomplete) implementation of the ISOBUS standard in Python

An Arduino-based soil moisture monitoring system with real-time OLED display and alert mechanisms using a LED and buzzer

Smart Farming research papers collection

Doctor Plant | Smart Farming Application | Daily Market Prices | Weather | IoT Based

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.

Academic Course Project for Application Development Lab (CSE-2216), University of Dhaka

A modular software architecture for Automatic Plant Phenotyping

AI-based image recognition and soil parameter monitoring to precisely determine growth stage of plants and automate irrigation.

control system which can monitor and improve the conditions of temperature, humidity and light intensity for a given particular plant

Smart farm project

helyOS Core is a microservice and assignment orchestrator developed by the Fraunhofer IVI.

This repository contains the source code associated with the pilot tech radar for the warm-up DBDD group project.

Improved weed segmentation in UAV imagery of sorghum fields with a combined deblurring segmentation model