Metadata-Version: 2.1
Name: wheat-yield-prediction-toolkit
Version: 0.1.4
Summary: Wheat Yield Prediction Toolkit is a package that provides tools for predicting wheat yield at the county level in the main wheat-producing regions of the US using deep learning approaches. The package includes modules for data collection, preprocessing, modeling, and uncertainty analysis.
Home-page: https://github.com/nour3467/wheat-yield-prediction-toolkit
Author: Noureddine Ech-chouky
Author-email: noureddineechchouky@gmail.com
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.9
Requires-Python: >=3.9
Description-Content-Type: text/markdown

# Wheat Yield Prediction Toolkit

Are you interested in predicting winter wheat yield in your area? Look no further! The Wheat Yield Prediction Toolkit is a collection of tools for gathering and processing data from various sources to help you make informed predictions about winter wheat yield.

## Overview

The Wheat Yield Prediction Toolkit includes several modules for collecting data from different sources:



- USDA Quick Stats API for yield data
- Gee for remote sensing
- SoilGrids for soil data images
- NASA POWER provider for weather data

This README will guide you through the steps to set up and use the toolkit. Let's get started!
