Projects / Local Chapter Challenge

Global Wheat Head Detection (GWHD) for Tanzania Using AI and Machine Learning

Challenge Completed!


Featured Image

This Omdena Local Chapter Challenge runs for 6 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 management of all equipment under one control system, including heating, venting, and irrigation, is a hard task in terms of systems management and data collection. As a seasonal grower with product cycles of up to two years in duration, patience is necessary. It takes time to collect the data for these systems to work and learn.

Greenhouse environments are also challenging for technology implementation due to broad temperature and humidity ranges, which influence both the electronic and mechanical components that contribute to their ongoing development. This can be a frustration for staff trying to complete their weekly plans.

AI solutions for greenhouse growers are still in their initial phases of development. The integration of intelligent control systems requires changes to processes, which can be disruptive to production, so flexibility and managing expectations are important to manage the greenhouses effectively.

The goals

The project’s goals are:

  • Build a strong community for sharing knowledge of AI and ML models in agriculture. 
  • Decide the best values for managing the levels of temperature, humidity, the use of water, light, and other parameters.

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

First Omdena Local Chapter Challenge?

Beginner-friendly, but also welcomes experts

Education-focused

Open-source

Duration: 4 to 8 weeks



Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations



Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset



This challenge is hosted with our friends at
Logo


Application Form
3D Imagery Analysis & Segmentation
3D Imagery Analysis & Segmentation
Street-Level Imagery Analysis
Street-Level Imagery Analysis
Machine Learning for Earth Observation
Machine Learning for Earth Observation

Become an Omdena Collaborator

media card
Visit the Omdena Collaborator Dashboard Learn More