Improving Crop Yield and Reducing Food Loss in Tanzania Through Machine Learning

This Omdena Local Chapter Challenge runs for 8 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 Dar Es Salaam, Tanzania Chapter.

The problem

The problem of low crop yield and food loss in Tanzania is complex and multifaceted. Despite the efforts made by the government and other stakeholders to address the issue, the problem persists, and farmers continue to experience low yields and significant food loss. The traditional methods of addressing these challenges have not been adequate, and there is a need for innovative solutions that leverage technology and data analysis. 

The goals

The main objective of this project is to improve crop yield and reduce food loss in Tanzania through machine learning. The project will leverage machine learning techniques to analyze various data sources such as weather data, soil data, and crop yield data to identify patterns and trends that affect crop yield and food loss. The project will also develop machine learning models to predict crop yield and food loss based on the identified factors and identify potential solutions to reduce food loss and improve crop yield.

Specific Objectives:

• Collect and analyze data on crop yield, weather conditions, soil quality, and pest infestation in Tanzania.
• Develop machine learning models to predict crop yield and food loss based on the identified factors.
• Develop a plan to implement the solutions and evaluate their effectiveness.
• Present the findings and recommendations to the stakeholders.

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