loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Sarifah Agustiani ; Agus Junaidi ; Yoseph Arifin ; Dwi Puji Hastuti ; Sopiyan Dalis ; Kartika Yuliantari and Fauzi Syarief

Affiliation: Universitas Bina Sarana Informatika, Jakarta, Indonesia

Keyword(s): Color Histogram, Random Forest, Pongamia Pinnata (L.) Pierre.

Abstract: Increasing energy consumption, which is disproportionate to the energy supply, has resulted in an urge to seek renewable alternative energy sources that are environmentally friendly to meet energy needs. One plant with great potential to be used as an alternative fuel/biodiesel which environmentally friendly is Pongamia Pinnata (L.) Pierre. Besides many benefits and advantages of growing fast in tropical and sub-tropical areas, maintaining growth, and meeting the supply of bioenergy, it is necessary to have an intelligent system that can detect diseases in these plants. The research aims to classify Pongamia Pinnata into healthy and diseased categories. Hopefully, this system will prevent plant disease transmission and less-than-optimal growth. The method uses a color histogram as a feature extraction to recognize the characteristics of each image. In contrast, it uses a random forest algorithm for the classification process, and the accuracy reaches 99.79%.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.147.237.251

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Agustiani, S. ; Junaidi, A. ; Arifin, Y. ; Puji Hastuti, D. ; Dalis, S. ; Yuliantari, K. and Syarief, F. (2024). Leaf Disease Detection Using Color Histogram and Random Forest on Pongamia Pinnata (L.) Pierre. In Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD; ISBN 978-989-758-678-1, SciTePress, pages 143-148. DOI: 10.5220/0012445100003848

@conference{icaisd24,
author={Sarifah Agustiani and Agus Junaidi and Yoseph Arifin and Dwi {Puji Hastuti} and Sopiyan Dalis and Kartika Yuliantari and Fauzi Syarief},
title={Leaf Disease Detection Using Color Histogram and Random Forest on Pongamia Pinnata (L.) Pierre},
booktitle={Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD},
year={2024},
pages={143-148},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012445100003848},
isbn={978-989-758-678-1},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Advanced Information Scientific Development - ICAISD
TI - Leaf Disease Detection Using Color Histogram and Random Forest on Pongamia Pinnata (L.) Pierre
SN - 978-989-758-678-1
AU - Agustiani, S.
AU - Junaidi, A.
AU - Arifin, Y.
AU - Puji Hastuti, D.
AU - Dalis, S.
AU - Yuliantari, K.
AU - Syarief, F.
PY - 2024
SP - 143
EP - 148
DO - 10.5220/0012445100003848
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic