Science in Information Technology Letters
Vol 1, No 1: May 2020

Palm oil classification using deep learning

Abdulrazak Yahya Saleh (Universiti Malaysia Sarawak)
Ermawatih Liansitim (Universiti Malaysia Sarawak)

Article Info

Publish Date
27 Apr 2020

Abstract

Deep Convolutional Neural Networks (CNNs) have been established as a dominant class of models for image classification problems. This study aims to apply and analyses the accuracy of deep learning for classifying ripes on palm oil fruit.  The CNN used to classify 628 images into 2 different classes. Furthermore, the experiment of CNN with 5 epochs gives promising classification results with an accuracy of 98%, which is better than previous methods.  To sum up, this study was successfully solving an image classification by detected and differentiated the ripeness of oil palm fruit.

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Journal Info
Science in Information Technology Letters
Website

Abbrev

sitech

Publisher

Association for Scientific Computing Electronics and Engineering

Subject

Computer Science & IT

Description

Science in Information Technology Letters (SITech) aims to keep abreast of the current development and innovation in the area of Science in Information Technology as well as providing an engaging platform for scientists and engineers throughout the world to share research results in related ...