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# AgriHack1 | ||
Earth Observation Hack Challenge using Sentinel 2 Data | ||
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<p align="center"><img width=25% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/daralogo.png"></p> | ||
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[](https://travis-ci.org/darabigdata/IDWBotswana) | ||
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[](https://github.com/darabigdata/IDWBotswana/issues) | ||
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[](https://opensource.org/licenses/gpl-license) | ||
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<p align="center"><img width=40% src="https://github.com/darabigdata/IDWBotswana/blob/master/media/tshirt-back-idw.png"></p> | ||
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## 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%> | ||
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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. | ||
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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! | ||
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```bash | ||
> git clone https://github.com/darabigdata/IDWBotswana.git | ||
``` | ||
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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: | ||
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```bash | ||
> pip install -r requirements.txt | ||
``` | ||
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### DARA Big Data is supported by: | ||
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<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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