3 different machine learning algorithms based crop recommendation system
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Updated
Jun 21, 2024 - Python
3 different machine learning algorithms based crop recommendation system
Crop Recommendation ML Model | Python
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.
A neural network-based crop recommendation system leveraging soil and environmental data. Achieved 98% accuracy through hyperparameter tuning and evaluation of two architectures with 2 and 5 hidden layers.
A machine learning system that makes crop recommendations based on soil and weather data.
A Intelligent Crop Recommendation Portal Using Machine Learning and Deep Learning
SmartCrop is an AI model designed to assist farmers in determining the most suitable crop to cultivate based on environmental and soil parameters.
A crop recommendation API using a machine learning with an accuracy of 99.18%.
FARM FUTURO is a cutting-edge Machine Learning (ML) project designed to address the challenges faced by farmers in making informed crop decisions
Recommending the Crops based on soil type and other environment conditions
Hariyali is a web application which is used for crop prediction, fertilizer prediction and crop disease prediction.
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
Crop Prediction Using TinyML and Arduino Nano BLE 33 Sense
AClimate official website
Crop Recommendation System using Random Forest Algorithm in Partial Fulfillment of the Final Project on MAN206 Predictive Modelling and Machine Learning
Agro companion is a soil classification, crop recommendation and crop information website. It helps identify seven types of soils, recommend 20+ crop based on specific factors and also help search information required to grow them.
This Program is for Prediction of Crop Recommendation based on Rainfall,Humidity,Amount of Potassium and Amount of Nitrogen
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
ML solutions and other API based features to support Agriculture and Farmers. Goto Wiki or click on below link for Project Report.
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