crop-recommendation
There are 7 repositories under crop-recommendation topic.
Gladiator07 / Harvestify
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Language:Jupyter Notebook 460- agriculture-portal
vaishnavid0604 / agriculture-portal
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Language:PHP 76 - Farmer-Call-Center
rudrakshi99 / Farmer-Call-Center
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
Language:JavaScript 71 AnnadataHackfest / Annadata
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.
Language:JavaScript 51anshukrsingh / crop-recommendation-system-based-on-machine-learning-using-python
A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical location.
Language:Jupyter Notebook 41atharval1 / precision-agriculture-using-machine-learning
A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
Language:HTML 38the-pinbo / crop-prediction
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.
Language:Jupyter Notebook 30simranvolunesia / Irrigreat
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
lostmartian / crop-recommendation-and-plant-disease-detection
Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach
Language:Jupyter Notebook 21SourajitaDewasi / Crop-Yield-Prediction-in-India-using-ML
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 better yield.
Language:Jupyter Notebook 19ab007shetty / crop-management-system
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
Language:Jupyter Notebook 18- agricrop
abhisheks008 / agricrop
AgriCrop is a Crop Recommendation System built on Machine Learning techniques to recommend the best fitted crop for the given condition by the user.
Language:Jupyter Notebook 16 Nandha2536 / Agriculture-portal
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Language:PHP 14Phantom-Studiosad / Intelligent_CropPrediction_System
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.
Language:Jupyter Notebook 10deepeshdm / CropFusionAI
Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜
Language:JavaScript 9- AgriSens
ravikant-diwakar / AgriSens
Smart Farming Assistant uses advanced technology, including machine learning and CNNs, to provide farmers with crop recommendations, disease identification, weather forecasts, fertilizer recommendation, and crop management guidance through a user-friendly web app.
Language:Jupyter Notebook 9 danielchristopher513 / Crop_Recommendation_Using_Machine_Learning
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 .
Language:Jupyter Notebook 7- Language:Jupyter Notebook 6
dhhruv / Kisaani
"Kisaani" is an application that takes required parameters intelligently or from the database of the location (from the cloud) and provides the list of best crops suited for that land. The application should also be able to collect the outcome after cultivation and apply correction as appropriate for further advisories. The details of the crops for the region and conditions are provided. Applications should be interactive, user friendly for farmers (provide local language support) and should provide support in real time.
kanchanraiii / Krishi-Mitr
Explore our tools to make informed agricultural decisions.
Language:Jupyter Notebook 5mohansaidinesh / Automated-Farming
Smart Irrigation System
Language:Jupyter Notebook 5alhussain-shaikh / Agribranch
An application for Farmers to recommend them the best types of crops which can be cultivated on a certain piece of land using Soil Image.
Language:Dart 4Joywin2412 / Agro-Vision
Multiservice app with Crop Yield Prediction built using Django , React and Node.
Language:JavaScript 4FastAPI backend for CropFusionAI
Language:Jupyter Notebook 3Harsh19012003 / Project-Takshak
Farmer assistant system VCET Hackathon 2k22
Language:CSS 3- Language:Jupyter Notebook 3
poojagusain101 / SowEasy_Crop-Recommender
"SowEasy " is a Crop Recommendation system that compares various machine learning models and provides the best crop to plant depending on various factors.
Language:Jupyter Notebook 3anandanraju / Crop_Recommendation_System_Using_MachineLearning
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 Agro Consultant's principal role, which is to provide crop recommendations to farmers.
Language:Jupyter Notebook 2BishalRaj123 / Crop-recommendation-using-machine-learning
This project aims to develop a crop recommendation system using a Random Forest machine learning model. The system uses a dataset containing information about soil type i.e. PH value and weather factors like temperature, humidity and rainfall to recommend the most suitable crops for a given location.
Language:Jupyter Notebook 2Dinesh7794 / Agriculture-Portal-main
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
Language:PHP 2omaresguerra / Cropify-Crop-Recommendation-System
Crop Recommendation System using Random Forest Algorithm in Partial Fulfillment of the Final Project on MAN206 Predictive Modelling and Machine Learning
Language:Jupyter Notebook 2pkshetty15 / harvest-harmony
Cultivating yield with an intelligent crop recommendation system
Language:Jupyter Notebook 2- Crop-recommendation-and-yield-prediction
SherinBK / Crop-recommendation-and-yield-prediction
A crop recommendation system for the state of Tamil Nadu. Also yield-predictor (approx.) for the recommended crop.
Language:Jupyter Notebook 2 sudoshivam / crop-prediction-model
A machine learning model to recommend suitable crops based on soil health conditions.
Language:Python 2SuriyaaVijay / CropForEst--Location-based-Crop-Prediction-and-Estimation
Leveraging machine learning algorithms for accurate crop yield prediction and price estimation based on temperature, rainfall, humidity, NPK, location
Language:Python 2vineetpatel725 / Crop-Recommendation
Crop Recommendation is a web application that suggest/recommend the farmer to which crop to grown his/her field.
Language:CSS 2
