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colabtools

Python libraries for Google Colaboratory

crop-mapping-and-yield-predicition

crop-type-mapping-2

Machine Learning Algorithms based Crop Type Mapping in North-Western part of Bangladesh using Google Earth Engine (GEE) and Python

crop-yield-prediction3

Machine Learning based Crop Yield Prediction

crop-yield-predictor

crop-yield-predictor2

A tool which is capable of making predictions of cereal and potato yields for districts of the Slovak Republic.

cropyieldprediction2

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.

fuse-

Downloading GitHub repo cvitolo/fuse@HEAD

geegis

GEE workflows.

irrigated-area-mapping

ml-for-crop-yield-forecasting

mlforcropyieldforecasting

Implementation of Machine learning baseline for large-scale crop yield forecasting

mmst-vit

PyTorch Implementation of MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer

multi-modal-crop-classification

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

rs

Gee analysis and deep learning classification code

study-of-the-effects-of-climate-change-on-crop-yields

Prediction of crop yields based on climate variables using machine learning algorithms

waporwp

Jupyter notebooks on WaPOR based monitoring of water productivity and irrigation performance indicator

wp_training

jupyter notebooks for WP_WaPOR training