Leaf Based Plant Species Classification Using Deep Convolutional Neural Network

Leaf Based Plant Species Classification Using Deep Convolutional Neural Network

Kingdom Plantae consists of hundreds of thousands of species that play a critical role in ensuring the survival of living things on earth. However, the International Union for Conservation of Nature (IUCN) pointed out that around 34,000 of the recorded species were threatened with extinction until 1...

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Published in:2022 10th International Conference on Information and Communication Technology, ICoICT 2022
Main Author: Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
Format: Conference paper
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141595162&doi=10.1109%2fICoICT55009.2022.9914851&partnerID=40&md5=d856d9cc71571fc6b654911e6b95d8b4
id 2-s2.0-85141595162
spelling 2-s2.0-85141595162
Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
2022
2022 10th International Conference on Information and Communication Technology, ICoICT 2022


10.1109/ICoICT55009.2022.9914851
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141595162&doi=10.1109%2fICoICT55009.2022.9914851&partnerID=40&md5=d856d9cc71571fc6b654911e6b95d8b4
Kingdom Plantae consists of hundreds of thousands of species that play a critical role in ensuring the survival of living things on earth. However, the International Union for Conservation of Nature (IUCN) pointed out that around 34,000 of the recorded species were threatened with extinction until 1997. Therefore, it is deemed essential to conserve biodiversity with the initial attempt by crafting a system that identifies plants on earth, conducted through utilizing a computer vision to determine plant identity based on leaf images. This paper proposes a model to identify plants based on leaf images by implementing Convolutional Neural Network (CNN. We tested the model to the Flavia dataset and got 95.3% accuracy. Additionally, this paper presents a leaf dataset recognized as the Indonesian Herb Leaf Dataset (IHLD), which aims to compare the accuracy and to measure the robustness of the proposed model on a different dataset. © 2022 IEEE.
Institute of Electrical and Electronics Engineers Inc.

English
Conference paper
author Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
spellingShingle Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
author_facet Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
author_sort Minarno A.E.; Ibrahim Z.; Nur A.; Hasanuddin M.Y.; Diah N.M.; Munarko Y.
title Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
title_short Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
title_full Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
title_fullStr Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
title_full_unstemmed Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
title_sort Leaf Based Plant Species Classification Using Deep Convolutional Neural Network
publishDate 2022
container_title 2022 10th International Conference on Information and Communication Technology, ICoICT 2022
container_volume
container_issue
doi_str_mv 10.1109/ICoICT55009.2022.9914851
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85141595162&doi=10.1109%2fICoICT55009.2022.9914851&partnerID=40&md5=d856d9cc71571fc6b654911e6b95d8b4
description Kingdom Plantae consists of hundreds of thousands of species that play a critical role in ensuring the survival of living things on earth. However, the International Union for Conservation of Nature (IUCN) pointed out that around 34,000 of the recorded species were threatened with extinction until 1997. Therefore, it is deemed essential to conserve biodiversity with the initial attempt by crafting a system that identifies plants on earth, conducted through utilizing a computer vision to determine plant identity based on leaf images. This paper proposes a model to identify plants based on leaf images by implementing Convolutional Neural Network (CNN. We tested the model to the Flavia dataset and got 95.3% accuracy. Additionally, this paper presents a leaf dataset recognized as the Indonesian Herb Leaf Dataset (IHLD), which aims to compare the accuracy and to measure the robustness of the proposed model on a different dataset. © 2022 IEEE.
publisher Institute of Electrical and Electronics Engineers Inc.
issn
language English
format Conference paper
accesstype
record_format scopus
collection Scopus
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