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.

AgriTech is an AI-powered web platform that offers crop recommendations, yield prediction, disease detection, and collaborative tools to empower farmers and promote smart, sustainable agriculture.

🌱🌾🚜 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 IOT DEVICE CONNECTED WITH ANDROID APP FOR SMART IRRIGATION

👨🏻‍🌾 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.

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.

The Smart Plant Monitoring System is an IoT project that automates plant care using an ESP32 microcontroller. It monitors soil moisture, temperature, and humidity, automating watering based on sensor data. The system connects to the Blynk app for remote monitoring and control, making it perfect for smart agriculture or home automation.

An (incomplete) implementation of the ISOBUS standard in Python

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.

Smart Farming research papers collection

The project aims to create a centralized database of farmers with digital profiles that include all their relevant details. Additionally, the system features an alert system for new schemes and subsidies, as well as a machine learning-based crop recommendation system and disease detection with fertilizer suggestions.

Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN

A Smart Livestock Health Monitoring System based on Internet of Things

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

Mazraaty is a smart agricultural companion app designed for beginners and enthusiasts. It offers plant care education, AI-powered disease prediction, a comprehensive plant library, interactive AI chat, and user-friendly management tools—all in one platform. Empower your farming journey, learn, and grow with confidence!

Our code for the UI to all of the sensors we offer.

A comprehensive AI-powered agricultural analytics platform that provides real-time insights, predictions, and recommendations for smart farming using Large Language Models (LLMs).

AgroIntel is an AI-driven, weather-aware crop planning platform built with Node.js, Express, and MySQL. It leverages the OpenWeather API to provide real-time agricultural recommendations and harvest timelines based on specific land data.