Real-Time Automated Mango Leaf Disease Detection in Bangladesh Using CNNs

This Omdena Local Chapter Challenge runs for 5 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 Dhaka, Bangladesh Chapter.

The problem

Bacterial and fungal diseases are major constraints for mango production, causing around 30% yield loss annually. The absence of real-time, automated systems for early detection and classification of mango leaf diseases hampers efforts to mitigate crop losses. Currently, farmers face delayed diagnoses which reduces productivity and causes financial losses.

This project aims to address this problem by developing a cutting-edge computer vision-based model that provides instant in-field detection and classification of mango leaf diseases, empowering farmers with timely information to reduce losses and enhance their income.

The goals

The project goals are:

• Collect a comprehensive dataset of mango leaf images encompassing multiple bacterial and fungal diseases, ensuring representation across various regions.
• Train and optimize Convolutional Neural Network (CNN) models to accurately detect and classify mango leaf diseases using the collected dataset.
• Develop an intuitive user interface with trained models for real-time mango disease screening by farmers.

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