Predicting Crop Yield.
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Updated
Jul 31, 2019 - Jupyter Notebook
Predicting Crop Yield.
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
A mobile application involving machine learning to recommend crop variety and also predict crop yield.
With this project, we hope to help solve the problems faced during farming and help the farmers, government and consumer by highlighting the advantages of using Machine Learning to predict crop yield and present an alternate supply chain by using block chain and decentralized the entire process.
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.
Build@ARSD - Tech for Good
An all purpose flutter app for farmers made under Food and Agriculture theme in Accelathon hackathon
Prediction of suitable crop using soil and weather conditions.
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…
METADATA-FARMER ASSISTANCE WEBAPP | AI & ML
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.
Crop Prediction using Machine Learning (Classification Use Case)
SmartCrop: Intelligent Crop Recommendation
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
The Crop Management System is a machine learning-based project designed to provide predictions and recommendations for farmers.
Crop recommendation Web Application using Machine Learning along with fertilizer and cultivation season recommendation made with flask. The Prediction is performed using Random Forest Model
This Github Repository Contains a machine learning powered crop price prediction application with a firebase connected login and signup
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