Managing Agricultural Risk in Ghana Using Machine Learning

This Omdena Local Chapter Challenge runs for 5 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world. 

You will work on solving a local problem, initiated by Ghana Chapter.

The problem

In Ghana, agricultural productivity is hindered by the challenges that farmers face related to crop diseases, irrigation, and climate variability. These challenges are exacerbated by the lack of information available to farmers regarding weather patterns, disease outbreaks, and effective crop management practices. As a result, Ghanaian farmers often suffer significant yield losses and financial losses, which can further perpetuate poverty and food insecurity in the country.

The goals

The goal of this project is to use machine learning models to analyze weather data and predict droughts or other weather events, as well as to identify patterns in crop diseases and recommend treatments. By doing so, we aim to provide farmers with the information they need to better manage risks and increase their productivity and profitability. Specifically, the project aims to achieve the following goals:

• Analyze historical data on crop diseases in Ghana and develop machine learning models that can identify patterns in disease outbreaks, as well as recommend effective treatments to farmers.
• Develop a user-friendly platform that can deliver weather and disease information to farmers in Ghana, along with recommendations for how to manage risks effectively.
• Curated dataset hosted in AWS or Google for open access.

Why join? The uniqueness of Omdena Local Chapter Challenges

Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.

A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.

And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.

Read more on how Omdena´s Local Chapters work