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# AgriHack1
Earth Observation Hack Challenge using Sentinel 2 Data

<p align="center"><img width=25% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/daralogo.png"></p>

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![Python](https://img.shields.io/badge/python-v3.6+-blue.svg)
[![Build Status](https://travis-ci.org/darabigdata/IDWBotswana.svg?branch=master)](https://travis-ci.org/darabigdata/IDWBotswana)
![Dependencies](https://img.shields.io/badge/dependencies-up%20to%20date-brightgreen.svg)
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![Contributions welcome](https://img.shields.io/badge/contributions-welcome-orange.svg)
[![License](https://img.shields.io/cran/l/devtools.svg)](https://opensource.org/licenses/gpl-license)

<p align="center"><img width=40% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/tshirt-back-idw.png"></p>


## Introduction
Welcome to the [DARA Big Data](https://www.darabigdata.com) project Agri Hack! This hackathon was first run at the Univeristy of Fort Hare in South Africa <img src="https://github.com/darabigdata/AgriHack1/blob/master/media/animated-south-african-flag-2.gif" width=5%>

The DARA Big Data hackathon is designed to help you improve your data science skills in a friendly and supportive environment. At the hackathon, you will be grouped into **teams of four** and each team will work independently on the hack challenge. At the end of the hack each team will give a 5 minute (3 slide) presentation on the results of their challenge. These presentations will be judged by the organisers and there will be a prize for the winning team. The presentations will be judged on (1) the accuracy of the predicted results via machine learning and (2) visualisation/presentation of the data and results.

The DARA Big Data hack challenges will be run in Python3 using the [IDIA Cloud](idia.ac.za/research-and-projects/african-research-cloud). Students should have a basic working knowledge of Python (including the scipy and numpy libraries) - but you do not have to be an expert to take part and enjoy yourself!

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### Not at the hackathon, but want to test your code-building skills? Feel free!

```bash
> git clone https://github.com/darabigdata/IDWBotswana.git
```

Then make sure you have the right Python libraries for the tutorials. They can all be installed using pip and the [requirements.txt](https://github.com/darabigdata/IDWBotswana/blob/master/requirements.txt) file in the repo:

```bash
> pip install -r requirements.txt
```


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### DARA Big Data is supported by:

<p align="center"><img width=20% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/Newton-Fund-Master-rgb.jpg", hspace="20"><img width=40% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/stfc_logo.png", hspace="20"><img width=20% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/dst_logo_crop.jpeg"></p>
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