Identification and classification of Green Leafy Vegetables using CNN models

Eneia Filipe Vilanculos, Thokozani Shongwe, Ali N. Hasan

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

Abstract

Identifying and classifying vegetables in big farms is a challenge, especially when the vegetables are similar in colour and shape. Manual identification of vegetables takes time and is prone to errors. Therefore, the automatic classification process of the precision farming, increasingly using image processing and pattern recognition to identify fruits and vegetable, is becoming essential to identify and classify vegetables in big farms. In this paper, an automatic system for the identification and classification of green leafy vegetables, similar in colour and shape was evaluataed using five different deep learning models such as CNN, MobileNet, VGG-16, Inception V3 and ResNet 50. The accuracies of these models achieved in this paper vary from 67% to 99%. The model with the highest accuracy is the MobileNet.

Original languageEnglish
Title of host publication6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023 - Proceedings
EditorsSameerchand Pudaruth, Upasana Singh
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350314809
DOIs
Publication statusPublished - 2023
Event6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023 - Durban, South Africa
Duration: 3 Aug 20234 Aug 2023

Publication series

Name6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023 - Proceedings

Conference

Conference6th International Conference on Artificial Intelligence, Big Data, Computing and Data Communication Systems, icABCD 2023
Country/TerritorySouth Africa
CityDurban
Period3/08/234/08/23

Keywords

  • Agriculture
  • Deep Learning
  • MobileNet
  • VGG-16
  • Vegetables Classification

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Information Systems and Management

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