Creating a Rice Disease Classifier Using Open Source Data and Computer Vision

This Omdena Local Chapter Challenge runs for 4 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 Omdena Laguna, Philippines Chapter.

The problem

Rice diseases are a major concern in the Philippines, a country that relies heavily on rice as a staple food. A variety of fungal, bacterial, and viral diseases can infect rice plants, causing reduced yield, lower quality, and even total crop loss. These diseases can be devastating to farmers, especially those with limited resources who cannot afford the cost of chemical treatments or disease-resistant seeds. Additionally, the high humidity and frequent rain in the Philippines create favorable conditions for the growth and spread of rice diseases.

The goals

We aim to deploy a deep learning model through a website or a mobile application that will identify different rice diseases by simply uploading a photo of a rice crop.

With a duration of four weeks, this project aims to:

• Research about Different Rice Diseases in the Philippines
• Data Collection and Data Cleaning
• Model Building
• Model 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.

Read more on how Omdena´s Local Chapters work