What is it about?

The aim of this research work is to develop an effective method to classify the various cultivars of Durio zibethinus (or commonly known as durian) based on the crop’s visual features via the application of Convolutional Neural Network (CNN) to improve the accuracy and speed of the cultivars recognition.

Featured Image

Why is it important?

With the recent rising demand of durian in the global market, there is a need for a accurate way to quickly and effectively differentiate the types of the different cultivars of durian by using computer vision and artificial intelligence.

Perspectives

A good work on using computer vision and machine learning to classify different breeds of durian.

Dr Joon Huang Chuah
University of Malaya

Read the Original

This page is a summary of: Durian Types Recognition Using Deep Learning Techniques, August 2018, Institute of Electrical & Electronics Engineers (IEEE),
DOI: 10.1109/icsgrc.2018.8657535.
You can read the full text:

Read

Resources

Contributors

The following have contributed to this page