AI Based Robotic Systems for the quality control of Date Palm Fruits - A Review

Bittu Scaria, Nazarudeen A. Aziz, Mohammad Abdul Majid Siddiqi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

The date palm fruit has gained significant importance in the global markets in recent years and during the last two decades the global production of dates has become more than doubled. These trends, however, have also made the task of post-harvesting process such as inspection, quality checking, and sorting of the date palm fruits are extremely challenging, as majority of the production units still employ humans to carry out these labor-intensive activities by visual inspection. In recent years, several processing techniques have been proposed by the researchers to address this issue. In this paper, we review these techniques and discuss the need for employing an autonomous robotic system based on the deep learning principle of artificial intelligence together with computer vision techniques. This paper is intended to help the researchers and application developers in gaining insights into the existing post-processing systems and designing even more efficient system of tomorrow.

Original languageBritish English
Title of host publicationProceeding of 2019 International Conference on Digitization
Subtitle of host publicationLandscaping Artificial Intelligence, ICD 2019
EditorsManas Ranjan Pradhan, John Senior, Joghee Shanmugan, Omar Hikmat Sattar, Sheikh Abdul Rabik, Beenu Mago
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages227-231
Number of pages5
ISBN (Electronic)9781728138411
DOIs
StatePublished - Nov 2019
Event2019 International Conference on Digitization, ICD 2019 - Sharjah, United Arab Emirates
Duration: 18 Nov 201919 Nov 2019

Publication series

NameProceeding of 2019 International Conference on Digitization: Landscaping Artificial Intelligence, ICD 2019

Conference

Conference2019 International Conference on Digitization, ICD 2019
Country/TerritoryUnited Arab Emirates
CitySharjah
Period18/11/1919/11/19

Keywords

  • Artificial intelligence
  • Date Palm Fruits
  • Intelligent automation
  • Post-harvesting
  • Quality Control
  • Robotic System

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