Artificial Intelligent Techniques for Palm Date Varieties Classification

Lazhar Khriji,Medhat Awadalla,Ahmed Chiheb

doi:10.14569/ijacsa.2020.0110958

Lazhar Khriji, Medhat Awadalla + Show 1 more

Open Access

https://doi.org/10.14569/ijacsa.2020.0110958

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Abstract

The demand on high quality palm dates is increasing due to its energy value and nutrient content, which are of great importance in human diet. To meet consumer and market standards with large-scale production, in Oman as among the top date producer, an inline classification system is of great importance. This paper addresses the potentiality of using Machine-Learning (ML) techniques in classifying automatically, without any physical measurement, the six most popular date fruit varieties in Oman. The effect of color, shape, size, and texture features and the critical parameters of the classifiers on the classification efficiency has been endeavored. Three different ML techniques have been used for automatic classification and qualitative comparison: (i) Artificial Neural Networks (ANN), (ii) Support Vector Machine (SVM), and (iii) K-Nearest Neighbor (KNN). Based on the merge of color, shape and size features contributes to achieve the highest accuracy. Experimental results show that the ANN classifier outperforms both SVM and KNN with the highest classification accuracy of 99.2%. This developed vision system in this paper can be successfully integrated in the packaging date factories.

Highlights

The great energy and the content of nutrients present in the date fruits are the reasons behind the great importance of them in human diet
Referring to Food Agricultural Organization (FAO), the largest date producer countries in the world are located in the Middle East and North Africa
In this work, feed-forward neural networks trained with Levenberg-Marquardt backpropagation algorithm

Summary

Introduction

The great energy and the content of nutrients present in the date fruits are the reasons behind the great importance of them in human diet. Referring to Food Agricultural Organization (FAO), the largest date producer countries in the world are located in the Middle East and North Africa. Oman produces about 260-270 Million-tons and ranks among the largest dates producing countries in the world [1,2]. Only around 7000 tons of date fruits is reported under export [3]. This low output could be related to the required higher international export standards such as color, size, softness, freshness, etc. It encouraged to plant palm dates that reached more than 250 varieties. Fardh, Khunaizi, Qash, Naghal, and Maan are known as the six most popular date fruit varieties in Oman. In date’s industries, the classification of dates into diverse classes is an essential task. The related industries are improving their products in quality and quantity [7, 8]

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