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Python libraries for Google Colaboratory
Machine Learning Algorithms based Crop Type Mapping in North-Western part of Bangladesh using Google Earth Engine (GEE) and Python
Machine Learning based Crop Yield Prediction
A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.
This project aims to design, develop and implement the training model by using different inputs data. The machine will able to learn the features and extract the crop yield from the data by using data mining and data science techniques.
Downloading GitHub repo cvitolo/fuse@HEAD
Performance Analysis of Pixel-Based and Object-Oriented LULC Classification in Google Earth Engine Using Multi-Temporal Sentinel-2 Imagery
GEE workflows.
MapSWAT is a QGIS plugin for generating ready-to-use SWAT or SWAT+ input maps.
Implementation of Machine learning baseline for large-scale crop yield forecasting
PyTorch Implementation of MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Code for the paper Multi Modal Deep Learning Based Crop Classification Using Multispectral and Multitemporal Satellite Imagery published in KDD Applied Data Science Track 2020
Repo for demonstration notebook for NASA ARSET traing
Textbook that provides JavaScript and Python code to create open reproducible remote sensing analyses and workflows in Google Earth Engine.
Gee analysis and deep learning classification code
Prediction of crop yields based on climate variables using machine learning algorithms
Jupyter notebooks on WaPOR based monitoring of water productivity and irrigation performance indicator
jupyter notebooks for WP_WaPOR training
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.