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.
☆11Updated 3 years ago
Alternatives and similar repositories for Intelligent_CropPrediction_System:
Users that are interested in Intelligent_CropPrediction_System are comparing it to the libraries listed below
- A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produc…☆72Updated last year
- Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques☆17Updated 4 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆55Updated 6 years ago
- This project aims to design, develop and implement the training model by using different inputs data. The machine will able to learn the …☆12Updated 4 years ago
- A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.☆13Updated 3 years ago
- Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult th…☆13Updated 9 months ago
- Crop Yield Prediction Using Machin Learning Python☆19Updated last year
- The model focuses on predicting the crop yield in advance by analyzing factors like district (assuming same weather and soil parameters i…☆36Updated 2 years ago
- Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendati…☆25Updated 2 years ago
- Crop Yield Prediction using Machine Learning☆51Updated 3 years ago
- Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms☆40Updated 4 years ago
- Prediction of crop yields using machine learning.☆61Updated last year
- Crop yield prediction based on temperature and rainfall for India☆15Updated 5 years ago
- predict short & long term rainfall☆34Updated 6 years ago
- This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.☆46Updated 2 years ago
- Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach☆23Updated 6 months ago
- A platform of machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your c…☆44Updated 3 months ago
- This project helps to predict the suitable crop and its price according to the air humidity, soil moisture, soil pH and rainfall.☆75Updated 3 years ago
- Predicting Crop Yield.☆8Updated 5 years ago
- Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.☆55Updated last year
- Rainfall Prediction using Machine Learning. India Rainfall Prediction for 115 years. Rainfall Project with Code and Documents☆34Updated 2 years ago
- Crop yield prediction on remote sensing data using CNN☆26Updated 5 years ago
- This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and mac…☆42Updated 3 years ago
- Using Machine Learning algorithms to predict the chances of Flood in the state of Kerala.☆25Updated 4 years ago
- AI Application that can predict the most suitable crops to grow in particular farm based on various parameters.☆58Updated 2 years ago
- Prediction of crop yields based on climate variables using machine learning algorithms☆14Updated last year
- ☆112Updated 4 years ago
- Upload leaf image🌱 and predict the plant disease.☆22Updated last year
- This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"☆146Updated 11 months ago
- This work utilize farm data and machine learning approaches for yield production in farms with missing data, outlier and categorical feat…☆12Updated 4 years ago