crop_yield_prediction
Crop yield predictor
Develops and trains machine learning models to predict crop yields from remote sensing data
Crop Yield Prediction with Deep Learning
376 stars
31 watching
208 forks
Language: Python
last commit: over 1 year ago
Linked from 2 awesome lists
brycejohnston/awesome-agriculture
acgeospatial/awesome-earthobservation-codeRelated projects:
| Repository | Description | Stars |
|---|---|---|
 bigdatawur/agml-cy-bench | A dataset and benchmark for subnational crop yield forecasting to inform decisions on food production and market planning | 17 |
 jgrss/cultionet | A deep learning library for image segmentation of cultivated land from satellite data | 26 |
 colasgael/machine-learning-for-solar-energy-prediction | Develops a predictive model to forecast the power production of solar panels based on weather data | 235 |
 anthony-wang/crabnet | A deep learning framework for predicting material properties from composition information. | 92 |
 pxiangwu/motionnet | Develops accurate perception and motion prediction models for autonomous vehicles based on 2D maps | 169 |
 denissimon/prediction-builder | A PHP library that builds predictions using linear regression. | 111 |
| denissimon/prediction-builder-swift | A linear regression library for building predictions in machine learning | 12 |
 yuanchao-xu/hyfo | A package for data analysis and visualization in hydrology and climate forecasting, providing tools for processing and visualizing NetCDF files. | 15 |
 proflewis/geecrop | A Jupyter Notebook-based project providing Earth Engine-based crop information and related data analysis tools | 2 |
 microsoft/aurora | A framework for predicting atmospheric variables using machine learning | 241 |
 jliemansifry/semantic-segmentation | Develops deep learning models to classify and annotate pixel-level details in satellite images | 21 |
 achillesrasquinha/bulbea | A library for building machine learning models to predict stock prices and analyze market sentiment. | 2,049 |
 dl4sits/breizhcrops | A platform for crop type identification using satellite time series data | 197 |
 perrygeo/pyimpute | A Python module providing high-level functions to facilitate supervised classification and regression on geospatial data using scikit-learn and rasterio. | 124 |
 keon/deepstock | An experimental project exploring the use of deep learning to analyze and predict stock market trends. | 470 |