A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network

An agriculture robot has been demanded in recent years. Inaccurate in estimating the maturity of the chili always happens since the human eyes are tend to prone to errors. Serving an effective, innovative, feasible chili recognition system would help farmers as economical alternative by reducing the...

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Main Authors: Zainuddin, Muhammad Noorazlan Shah, Mohd Hussin, Najihah, Ahmad Radzi, Syafeeza, Mohd Saad, Wira Hidayat, Mohd Noh, Zarina, Sulaiman, Noor Asyikin, Razak, M. S.J.A.
Format: Article
Language:en
Published: Wydawnictwo SIGMA-NOT 2021
Online Access:http://eprints.utem.edu.my/id/eprint/25849/2/A%20FRAMEWORK%20FOR%20CHILI%20FRUITS.PDF
http://eprints.utem.edu.my/id/eprint/25849/
http://pe.org.pl/articles/2021/12/13.pdf
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author Zainuddin, Muhammad Noorazlan Shah
Mohd Hussin, Najihah
Ahmad Radzi, Syafeeza
Mohd Saad, Wira Hidayat
Mohd Noh, Zarina
Sulaiman, Noor Asyikin
Razak, M. S.J.A.
author_facet Zainuddin, Muhammad Noorazlan Shah
Mohd Hussin, Najihah
Ahmad Radzi, Syafeeza
Mohd Saad, Wira Hidayat
Mohd Noh, Zarina
Sulaiman, Noor Asyikin
Razak, M. S.J.A.
author_sort Zainuddin, Muhammad Noorazlan Shah
building UTEM Library
collection Institutional Repository
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
continent Asia
country Malaysia
description An agriculture robot has been demanded in recent years. Inaccurate in estimating the maturity of the chili always happens since the human eyes are tend to prone to errors. Serving an effective, innovative, feasible chili recognition system would help farmers as economical alternative by reducing the workloads while increasing fruit yield. Hence, a comprehensive framework of chili maturity estimation using deep learning is carried out.
format Article
id my.utem.eprints-25849
institution Universiti Teknikal Malaysia Melaka
language en
publishDate 2021
publisher Wydawnictwo SIGMA-NOT
record_format eprints
spelling my.utem.eprints-258492022-05-05T13:04:07Z http://eprints.utem.edu.my/id/eprint/25849/ A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network Zainuddin, Muhammad Noorazlan Shah Mohd Hussin, Najihah Ahmad Radzi, Syafeeza Mohd Saad, Wira Hidayat Mohd Noh, Zarina Sulaiman, Noor Asyikin Razak, M. S.J.A. An agriculture robot has been demanded in recent years. Inaccurate in estimating the maturity of the chili always happens since the human eyes are tend to prone to errors. Serving an effective, innovative, feasible chili recognition system would help farmers as economical alternative by reducing the workloads while increasing fruit yield. Hence, a comprehensive framework of chili maturity estimation using deep learning is carried out. Wydawnictwo SIGMA-NOT 2021 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/25849/2/A%20FRAMEWORK%20FOR%20CHILI%20FRUITS.PDF Zainuddin, Muhammad Noorazlan Shah and Mohd Hussin, Najihah and Ahmad Radzi, Syafeeza and Mohd Saad, Wira Hidayat and Mohd Noh, Zarina and Sulaiman, Noor Asyikin and Razak, M. S.J.A. (2021) A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network. Przeglad Elektrotechniczny, 97 (12). pp. 77-81. ISSN 0033-2097 http://pe.org.pl/articles/2021/12/13.pdf 10.15199/48.2021.12.13
spellingShingle Zainuddin, Muhammad Noorazlan Shah
Mohd Hussin, Najihah
Ahmad Radzi, Syafeeza
Mohd Saad, Wira Hidayat
Mohd Noh, Zarina
Sulaiman, Noor Asyikin
Razak, M. S.J.A.
A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title_full A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title_fullStr A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title_full_unstemmed A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title_short A Framework For Chili Fruits Maturity Estimation Using Deep Convolutional Neural Network
title_sort framework for chili fruits maturity estimation using deep convolutional neural network
url http://eprints.utem.edu.my/id/eprint/25849/2/A%20FRAMEWORK%20FOR%20CHILI%20FRUITS.PDF
http://eprints.utem.edu.my/id/eprint/25849/
http://pe.org.pl/articles/2021/12/13.pdf
url_provider http://eprints.utem.edu.my/