VaibhavSaini19 / Crop-Yield-Prediction-using-ML
A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produced depending upon the given input
☆72Updated last year
Alternatives and similar repositories for Crop-Yield-Prediction-using-ML:
Users that are interested in Crop-Yield-Prediction-using-ML are comparing it to the libraries listed below
- Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques☆17Updated 4 years ago
- 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
- Crop Yield Prediction using Machine Learning☆51Updated 3 years 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
- Prediction of Crop Yield for farmers based on weather, satellite data☆55Updated 6 years ago
- Crop yield prediction based on temperature and rainfall for India☆15Updated 5 years ago
- Prediction of crop yields using machine learning.☆61Updated last year
- ApnaAnaaj aims to solve crop value prediction problem in an efficient way to ensure the guaranteed benefits to the poor farmers. The team…☆68Updated 5 years ago
- Precision Agriculture based ML and DL project (local host deployment) which have features of crop recommendation, fertilizer recommendati…☆25Updated 2 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
- Crop Yield Prediction Using Machin Learning Python☆19Updated last year
- AI Application that can predict the most suitable crops to grow in particular farm based on various parameters.☆58Updated 2 years ago
- Webapp to predict the Air Quality Index of a region given climate conditions.☆51Updated last year
- This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.☆46Updated 2 years ago
- An Intelligent Crop Recommendation system using Machine Learning that predicts crop suitability by factoring all relevant data such as te…☆11Updated 3 years ago
- This is machine learning and deep learning based website which recommends the best crop to grow, fertilizers to use and the diseases caug…☆16Updated 4 years ago
- The Website predicts if the leaf🌿 is healthy or not using by taking plant's left image using Machine Learning🤖☆23Updated last year
- Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms☆40Updated 4 years ago
- Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 u…☆29Updated 3 years ago
- A system that is capable of automatically irrigating the agricultural field by sensing the parameters of soil in real-time and predicting…☆16Updated 4 years ago
- Recommendation system for farmers based on soil type, location, season etc.☆42Updated 6 years ago
- A machine learning model in python that recommends the best crop to grow based on Soil composition, Ph level, rainfall and geographical l…☆43Updated 3 years ago
- We aim to build an ML model that will predict the yield of a crop using time series analysis of remote sensing data.☆41Updated 2 years ago
- The project uses Arduino UNO with multiple sensors attached to it like Soil Moisture sensor, Photoelectric Diode Sensor,Humidity sensor …☆64Updated 6 years ago
- ☆56Updated 5 years ago
- ☆13Updated 3 years ago
- This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"☆146Updated 11 months ago
- Understanding crop yield predictions from CNNs as our final project for CS231N☆36Updated 7 years ago
- Plant Disease Detection is one of the mind-boggling issues when we talk about using Technology in Agriculture. Although researches have b…☆189Updated 2 years ago
- Smart agricultural system to recommend most profitable crops to farmers☆59Updated last year