A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
crop-recommendation 开源项目推荐(256 个)
crop-recommendation 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 256 个仓库ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
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.
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
An application that provides complete assistance to farmers right from sowing to harvesting. Its features include plant disease detection, crop recommendation, real-time API support for environment analysis, detailed crop-cost analysis, buy/sell/rent farming equipment and an interactive farmers' community.
AI智能农业助手采用机器学习和CNN等先进技术,通过用户友好的网页应用为农民提供作物推荐、病害识别、天气预报、肥料推荐和作物管理指导。
A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical location.
Developed a machine learning-based crop prediction model to assist farmers in making informed decisions about crop selection, planting, and harvesting.Integrated weather and geolocation APIs along with a web page for simplified user experience.
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
AgriCrop is a Crop Recommendation System built on Machine Learning techniques to recommend the best fitted crop for the given condition by the user.
The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters in a particular district), state, season, crop type using various supervised machine learning techniques. This helps the farmers to know the crop yield in advance to plan and choose a crop that would give a bett…
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
AI-powered platform for plant disease detection & intelligent crop recommendations. Next.js + Django + MongoDB + ML models. 99.5% accuracy. Open source agriculture tech helping farmers worldwide.
Helping Farmers make informed decisions with Machine Learning ! 👩🌾🚜
An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. This system is primarily concerned with performing AgroConsultant's principal role, which is to provide crop recommendations to farmers.
We propose an Intelligent Crop Recommendation and Yield prediction system using Machine Learning that predicts crop suitability by factoring all relevant data such as temperature, rainfall, location, and soil condition. The Yield is predicted based on the parameters of area of land available, agricultural season and the past observations of yield .
A Intelligent Crop Recommendation Portal Using Machine Learning and Deep Learning
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.
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/crop-recommendation。
- 该话题在 GitHub 上共有 256 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 1293 Star,覆盖 5 种主要语言,数据更新于 2026-11-13。
- 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。