Classification of Plant Diseases in Brazilian Agriculture Using Computer Vision and Machine Learning
Challenge Started!

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 São Paulo, Brazil Chapter.
The problem
A machine learning challenge using computer vision can significantly contribute to solving the problem of plant disease management in Brazilian agriculture and have a positive impact on the local community. This collaborative effort can help to the creation of robust disease detection models that are tailored to the specific needs of Brazilian crops and farming practices. By accurately and efficiently identifying diseases, these models can empower local farmers with timely information for proactive decision-making, allowing them to implement targeted treatments, reduce crop losses, and optimize resource usage. This ultimately improves the livelihoods of farmers, ensures food security, and contributes to the sustainable development of Brazilian agriculture.
The goals
- Literature review, available code review, and problem statement
- Data collection and dataset labeling, data preprocessing, and augmentation
- Models for transfer learning and feature extraction
- Development, training, testing, and tuning machine learning and deep learning models
- Web app development and deployment
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.
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



