Phantom-Studiosad / Intelligent_CropPrediction_SystemLinks
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.
☆13Updated 4 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
Sorting:
- The designed hybrid neural network model identifies optimal combinations of soil parameters and blends it with the rainfall pattern in a …☆12Updated 4 years ago
- A simple Web application developed in order to provide the farmers/users an approximation on how much amount of crop yield will be produc…☆76Updated 2 years ago
- A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.☆13Updated 4 years ago
- Prediction of crop yields using machine learning.☆64Updated 2 years ago
- Prediction of Crop Yield for farmers based on weather, satellite data☆63Updated 7 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 …☆13Updated 5 years ago
- This is a Semester Project which aim is to implement a Deep Learning model in order to detect Flood Events from Satellite Images☆43Updated 3 years ago
- This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"☆164Updated last year
- Crop Yield Prediction using various ML approaches - Random-Forest Regressor, Gradient-Boosting Regressor, Decision-Tree Regressor, Suppo…☆10Updated 2 years ago
- The proposed system will be able to predict the crop yield production which will be useful to farmers for harvesting and storage. The sys…☆33Updated 11 months ago
- This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.☆49Updated 3 years ago
- Application of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches …☆100Updated 2 years ago
- Crop yield prediction on remote sensing data using CNN☆27Updated 6 years ago
- Detection of oil spill located area in the Satelite images of Ocean☆16Updated 6 years ago
- Crop Yield Prediction using Machine Learning☆52Updated 4 years ago
- Prediction of yield and profitability of crop records of India for the agricultural sector using machine learning techniques☆19Updated 5 years ago
- ☆63Updated 6 years ago
- crop classification using deep learning on satellite images☆133Updated 5 years ago
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆34Updated 2 years ago
- Notebook for land cover classification with UNET☆20Updated last year
- Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms☆49Updated 5 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 3 years ago
- Winter Wheat Yield Estimation from Multi-temporal Remote Sensing Images Based on Convolutional Neural Networks☆17Updated 6 years ago
- In this project, we detect forest wildfire from given satellite images using deep learning.☆26Updated 6 years ago
- The following model uses hybrid CNN- RNN model for classification of each pixel to its corresponding classes. Further the code is develop…☆14Updated 6 years ago
- Soil parameter estimation from hyperspectral satellite images☆29Updated 3 years ago
- A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction☆196Updated 4 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.☆48Updated 3 years ago
- Farm Scale Soil Moisture using Remote Sensing and Water Budget Products☆23Updated last year
- Deep transfer learning techniques for crop yield prediction, published in COMPASS 2018. Best Presentation Winner.☆68Updated 6 years ago