Secure, production-grade IoT hydroponic automation system with ESP32, MQTT telemetry, and real-time dashboard
smart-farming 开源项目推荐(396 个)
smart-farming 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 396 个仓库AgIsoStack++ 是面向所有人的完全免费开源 C++ ISOBUS 库
Farmassist是一款智能农业应用,用于物联网和人工智能驱动的植物病害检测。它是用Flutter构建的,后端使用Firebase。
AgriTech 是一个 AI 驱动的 Web 平台,提供作物推荐、产量预测、病害检测和协作工具,赋能农民并促进智能、可持续农业。
🌱🌾🚜 智慧农场(冰山)是一个智能项目,旨在促进农业农场的互动和管理。
ISO11783(ISOBUS)与 J1939 协议的 Rust 实现
一款连接 Android 应用的智能灌溉物联网设备
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.
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 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.
AI-powered plant disease detection system using deep learning. Upload plant images to instantly identify 30+ diseases across Apple, Corn, Grape, Potato, Tomato & more crops. Built with FastAPI + React TypeScript. Ready for cloud deployment.
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.
An (incomplete) implementation of the ISOBUS standard in Python
BSc thesis (UAB, 9.2/10): pig weight estimation from depth images — YOLOv5/U-Net segmentation, Open3D point clouds, CNN regression
Monitoring Plant Health and Diseases for Sustainable Agriculture using CNN
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.
A comprehensive AI-powered agricultural analytics platform that provides real-time insights, predictions, and recommendations for smart farming using Large Language Models (LLMs).
Smart Farming research papers collection
Greenhouse monitoring and automation with Zigbee2MQTT, MQTT and ESP32. Try a live demo farm with sensor history, lighting and watering - no hardware or sign-up.
A Smart Livestock Health Monitoring System based on Internet of Things
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/smart-farming。
- 该话题在 GitHub 上共有 396 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1696 Star,覆盖 10 种主要语言,数据更新于 2026-11-09。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。