Local Chapter Challenge Disease Detection in Coffee Plants using Computer Vision
  • The Statement

Disease Detection in Coffee Plants using Computer Vision

Challenge Started!

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 the Omdena Ethiopia Local Chapter.

 

The problem

Information obtained from the Ethiopian Coffee and Tea Authority revealed that coffee berry disease (CBD), CWD, and coffee leaf rust (CLR) are the three major fungal diseases of Arabica coffee, reducing coffee production and consumption in the country. The approach employed for illness surveillance is observation with the naked eye, which is time-consuming, expensive, and requires significant competence. Therefore, it is important to automatically identify the diseases without the need for experts.

We can leverage the use of deep learning, object detection, and image classification to solve this problem.

Deep learning methods have been introduced for the detection of different types of coffee plant diseases caused by pests and pathogens. These diseases can be classified by machine learning techniques like segmentation, and classification along with the estimation of the severity of stress.

 

The goals

  • Study the types of diseases that commonly exist.
  • Source for train datasets.
  • Carryout data preprocessing
  • Develop a Deep Learning model.
  • Carry out inference with the trained model using test data.
  • Develop a mobile app.

 

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

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