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 403- Farmer-Call-Center
rudrakshi99 / Farmer-Call-Center
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
Language:JavaScript 63 - 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 54 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 48anshukrsingh / 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 35simranvolunesia / Irrigreat
Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendation and pesticide recommendation.
the-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 21atharval1 / 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 20SourajitaDewasi / 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 20lostmartian / crop-recommendation-and-plant-disease-detection
Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach
Language:Jupyter Notebook 17ab007shetty / crop-management-system
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
Language:Jupyter Notebook 14- 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 13 Phantom-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 8danielchristopher513 / 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 6deepeshdm / CropFusionAI
Helping Farmers make informed decisions with Machine Learning ! 👩‍🌾🚜
Language:JavaScript 6dhhruv / 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.
- Language:Jupyter Notebook 5
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 4Nandha2536 / 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 4- AgriSens
ravikant-diwakar / AgriSens
ML based Smart Crop Recommendation System with Disease Identification, utilizing CNNs. It aids farmers in selecting crops, managing diseases, and boosts productivity by integrating weather and geolocation APIs.
Language:Jupyter Notebook 4 FastAPI backend for CropFusionAI
Language:Jupyter Notebook 3Harsh19012003 / Project-Takshak
Farmer assistant system VCET Hackathon 2k22
Language:CSS 3- Language:Jupyter Notebook 3
anandanraju / 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 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 2vineetpatel725 / Crop-Recommendation
Crop Recommendation is a web application that suggest/recommend the farmer to which crop to grown his/her field.
Language:CSS 2arpitya / Smart-Crop-Management-System
Farmify is a Python-based project designed to help farmers with crop disease prediction, crop recommendation, and fertilizer suggestions. It utilizes machine learning models and Flask for web application development.
Language:Jupyter Notebook 1BishalRaj123 / 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 1Dinesh7794 / 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 1Some AIML Projects
Language:Jupyter Notebook 1Navaneeth-Gajula / YIELTOR
YIELTOR is a webpage used by farmers to know the information about which crop is grown at which time to give the best yield and profit from the crop
Language:HTML 1pkshetty15 / harvest-harmony
Cultivating yield with an intelligent crop recommendation system
Language:Jupyter Notebook 1Shivam-98350 / Crop-Recommendation-System
Crop Recommendation
Language:HTML 1
