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 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
Sorting:
- 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
- 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 Yield for farmers based on weather, satellite data☆61Updated 7 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…☆75Updated 2 years ago
- Prediction of crop yields using machine learning.☆64Updated 2 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☆41Updated 3 years ago
- crop classification using deep learning on satellite images☆130Updated 4 years ago
- Crop classification of fields in South Africa using multispectral imagery☆18Updated 3 years ago
- Notebook for land cover classification with UNET☆16Updated 11 months ago
- The designed hybrid neural network model identifies optimal combinations of soil parameters and blends it with the rainfall pattern in a …☆12Updated 3 years ago
- Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.☆262Updated 3 years ago
- This repo is the solution for landslide4Sense challenge.☆53Updated 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 …☆96Updated 2 years ago
- This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"☆159Updated last year
- 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☆28Updated 3 years ago
- Application of deep learning for earth observation.☆123Updated last year
- ☆52Updated 2 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.☆47Updated 2 years ago
- A deep learning (neural network) land cover classification project using satellite images (remote sensing).☆33Updated 2 years ago
- Land Cover Change Detection using Satellite Image Segmentation.☆50Updated 10 months ago
- This repo contains the python codes of my final thesis "Analysis of leaf species and detection of diseases using image processing and mac…☆47Updated 3 years ago
- Saathi - Crop recommendation using ML and plant disease identification using CNN and transfer-learning approach☆29Updated last year
- Bases on Leaf images we are trying to predict plant disease using convolutional neural network. PyTorch implementation☆325Updated 9 months 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…☆28Updated 8 months ago
- Crop growth stage modeling and classification☆11Updated 6 years ago
- This repository contains my code for the "Crop Yield Prediction Using Deep Neural Networks" paper.☆48Updated 2 years ago
- Farm Scale Soil Moisture using Remote Sensing and Water Budget Products☆23Updated last year
- Flight delays prediction and analysis: Machine Learning Approach☆13Updated 3 years ago
- Prediction of whether a flood may occur or not, depending rainfall data, using machine learning algorithms☆47Updated 5 years ago