Rice leaf disease detection using machine learning technique Article Swipe

PDF

T. S. Sindhu , G. Chandrika , G Divya , R. Sumathi , Putta Durga ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1063/5.0198893

India is one of the hugest rice cultivating country in the world. For thousands of years rice is a most major food, consequently every mankind depends on it directly and indirectly. But the Main hindrance in rice production is rice leaf diseases. It greatly reduces the production rate. Rice leaf diseases have specific symptoms that cannot be easily identified by usual human's eye. Using one of the image processing techniques, the rice leaf diseases are detected efficiently. In order to detect the diseased image Median Filter, K-means Clustering, GLCM and SVM classifier algorithms were proposed. Accuracy, Precision and ROC of SVM classifier were calculated as performance metrices. Around 97±2 % accuracy was achieved in this method. This paper discusses the efficient methodology for rice leaf disease detection. By using proposed method diseased leaves are identified at the early stage, which can aid farmers in preventing further damage to their crops.

Related Topics

Computer Science

Artificial Intelligence

Machine Learning

Concepts

Computer science Artificial intelligence Machine learning

Metadata

Type: article
Language: en
Landing Page: https://doi.org/10.1063/5.0198893
PDF: https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf
OA Status: bronze
References: 8
Related Works: 10
OpenAlex ID: https://openalex.org/W4392452689

All OpenAlex metadata

Raw OpenAlex JSON

OpenAlex ID: https://openalex.org/W4392452689

Canonical identifier for this work in OpenAlex
DOI: https://doi.org/10.1063/5.0198893

Digital Object Identifier
Title: Rice leaf disease detection using machine learning technique

Work title
Type: article

OpenAlex work type
Language: en

Primary language
Publication year: 2024

Year of publication
Publication date: 2024-01-01

Full publication date if available
Authors: T. S. Sindhu, G. Chandrika, G Divya, R. Sumathi, Putta Durga

List of authors in order
Landing page: https://doi.org/10.1063/5.0198893

Publisher landing page
PDF URL: https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf

Direct link to full text PDF
Open access: Yes

Whether a free full text is available
OA status: bronze

Open access status per OpenAlex
OA URL: https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf

Direct OA link when available
Concepts: Computer science, Artificial intelligence, Machine learning

Top concepts (fields/topics) attached by OpenAlex
Cited by: 0

Total citation count in OpenAlex
References (count): 8

Number of works referenced by this work
Related works (count): 10

Other works algorithmically related by OpenAlex

Full payload

id	https://openalex.org/W4392452689
doi	https://doi.org/10.1063/5.0198893
ids.doi	https://doi.org/10.1063/5.0198893
ids.openalex	https://openalex.org/W4392452689
fwci	0.0
type	article
title	Rice leaf disease detection using machine learning technique
biblio.issue
biblio.volume	3063
biblio.last_page	020007
biblio.first_page	020007
topics[0].id	https://openalex.org/T10616
topics[0].field.id	https://openalex.org/fields/11
topics[0].field.display_name	Agricultural and Biological Sciences
topics[0].score	0.9994999766349792
topics[0].domain.id	https://openalex.org/domains/1
topics[0].domain.display_name	Life Sciences
topics[0].subfield.id	https://openalex.org/subfields/1110
topics[0].subfield.display_name	Plant Science
topics[0].display_name	Smart Agriculture and AI
topics[1].id	https://openalex.org/T14365
topics[1].field.id	https://openalex.org/fields/11
topics[1].field.display_name	Agricultural and Biological Sciences
topics[1].score	0.9835000038146973
topics[1].domain.id	https://openalex.org/domains/1
topics[1].domain.display_name	Life Sciences
topics[1].subfield.id	https://openalex.org/subfields/1110
topics[1].subfield.display_name	Plant Science
topics[1].display_name	Leaf Properties and Growth Measurement
topics[2].id	https://openalex.org/T10640
topics[2].field.id	https://openalex.org/fields/16
topics[2].field.display_name	Chemistry
topics[2].score	0.9700999855995178
topics[2].domain.id	https://openalex.org/domains/3
topics[2].domain.display_name	Physical Sciences
topics[2].subfield.id	https://openalex.org/subfields/1602
topics[2].subfield.display_name	Analytical Chemistry
topics[2].display_name	Spectroscopy and Chemometric Analyses
is_xpac	False
apc_list
apc_paid
concepts[0].id	https://openalex.org/C41008148
concepts[0].level	0
concepts[0].score	0.6399164795875549
concepts[0].wikidata	https://www.wikidata.org/wiki/Q21198
concepts[0].display_name	Computer science
concepts[1].id	https://openalex.org/C154945302
concepts[1].level	1
concepts[1].score	0.44081854820251465
concepts[1].wikidata	https://www.wikidata.org/wiki/Q11660
concepts[1].display_name	Artificial intelligence
concepts[2].id	https://openalex.org/C119857082
concepts[2].level	1
concepts[2].score	0.3472439646720886
concepts[2].wikidata	https://www.wikidata.org/wiki/Q2539
concepts[2].display_name	Machine learning
keywords[0].id	https://openalex.org/keywords/computer-science
keywords[0].score	0.6399164795875549
keywords[0].display_name	Computer science
keywords[1].id	https://openalex.org/keywords/artificial-intelligence
keywords[1].score	0.44081854820251465
keywords[1].display_name	Artificial intelligence
keywords[2].id	https://openalex.org/keywords/machine-learning
keywords[2].score	0.3472439646720886
keywords[2].display_name	Machine learning
language	en
locations[0].id	doi:10.1063/5.0198893
locations[0].is_oa	True
locations[0].source.id	https://openalex.org/S2764696622
locations[0].source.issn	0094-243X, 1551-7616, 1935-0465
locations[0].source.type	journal
locations[0].source.is_oa	False
locations[0].source.issn_l	0094-243X
locations[0].source.is_core	True
locations[0].source.is_in_doaj	False
locations[0].source.display_name	AIP conference proceedings
locations[0].source.host_organization	https://openalex.org/P4310320257
locations[0].source.host_organization_name	American Institute of Physics
locations[0].source.host_organization_lineage	https://openalex.org/P4310320257
locations[0].source.host_organization_lineage_names	American Institute of Physics
locations[0].license
locations[0].pdf_url	https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf
locations[0].version	publishedVersion
locations[0].raw_type	proceedings-article
locations[0].license_id
locations[0].is_accepted	True
locations[0].is_published	True
locations[0].raw_source_name	AIP Conference Proceedings
locations[0].landing_page_url	https://doi.org/10.1063/5.0198893
indexed_in	crossref
authorships[0].author.id	https://openalex.org/A5053814288
authorships[0].author.orcid
authorships[0].author.display_name	T. S. Sindhu
authorships[0].affiliations[0].raw_affiliation_string	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[0].author_position	first
authorships[0].raw_author_name	T. S. Sindhu
authorships[0].is_corresponding	False
authorships[0].raw_affiliation_strings	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[1].author.id	https://openalex.org/A5052864180
authorships[1].author.orcid
authorships[1].author.display_name	G. Chandrika
authorships[1].affiliations[0].raw_affiliation_string	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[1].author_position	middle
authorships[1].raw_author_name	G. Chandrika
authorships[1].is_corresponding	False
authorships[1].raw_affiliation_strings	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[2].author.id	https://openalex.org/A5020449912
authorships[2].author.orcid
authorships[2].author.display_name	G Divya
authorships[2].affiliations[0].raw_affiliation_string	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[2].author_position	middle
authorships[2].raw_author_name	G. Divya
authorships[2].is_corresponding	False
authorships[2].raw_affiliation_strings	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[3].author.id	https://openalex.org/A5101984838
authorships[3].author.orcid
authorships[3].author.display_name	R. Sumathi
authorships[3].affiliations[0].raw_affiliation_string	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[3].author_position	middle
authorships[3].raw_author_name	R. Sumathi
authorships[3].is_corresponding	False
authorships[3].raw_affiliation_strings	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[4].author.id	https://openalex.org/A5102851922
authorships[4].author.orcid	https://orcid.org/0000-0002-2318-3327
authorships[4].author.display_name	Putta Durga
authorships[4].affiliations[0].raw_affiliation_string	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
authorships[4].author_position	last
authorships[4].raw_author_name	P. Durga
authorships[4].is_corresponding	False
authorships[4].raw_affiliation_strings	Department of Electronics and Communication Engineering, C. Abdul Hakeem College of Engineering and Technology, Melvisharam, Ranipet, Tamilnadu, India.
has_content.pdf	True
has_content.grobid_xml	True
is_paratext	False
open_access.is_oa	True
open_access.oa_url	https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf
open_access.oa_status	bronze
open_access.any_repository_has_fulltext	False
created_date	2025-10-10T00:00:00
display_name	Rice leaf disease detection using machine learning technique
has_fulltext	True
is_retracted	False
updated_date	2025-11-06T03:46:38.306776
primary_topic.id	https://openalex.org/T10616
primary_topic.field.id	https://openalex.org/fields/11
primary_topic.field.display_name	Agricultural and Biological Sciences
primary_topic.score	0.9994999766349792
primary_topic.domain.id	https://openalex.org/domains/1
primary_topic.domain.display_name	Life Sciences
primary_topic.subfield.id	https://openalex.org/subfields/1110
primary_topic.subfield.display_name	Plant Science
primary_topic.display_name	Smart Agriculture and AI
related_works	https://openalex.org/W2961085424, https://openalex.org/W4306674287, https://openalex.org/W3046775127, https://openalex.org/W3107602296, https://openalex.org/W3170094116, https://openalex.org/W4386462264, https://openalex.org/W4364306694, https://openalex.org/W4312192474, https://openalex.org/W4283697347, https://openalex.org/W4210805261
cited_by_count	0
locations_count	1
best_oa_location.id	doi:10.1063/5.0198893
best_oa_location.is_oa	True
best_oa_location.source.id	https://openalex.org/S2764696622
best_oa_location.source.issn	0094-243X, 1551-7616, 1935-0465
best_oa_location.source.type	journal
best_oa_location.source.is_oa	False
best_oa_location.source.issn_l	0094-243X
best_oa_location.source.is_core	True
best_oa_location.source.is_in_doaj	False
best_oa_location.source.display_name	AIP conference proceedings
best_oa_location.source.host_organization	https://openalex.org/P4310320257
best_oa_location.source.host_organization_name	American Institute of Physics
best_oa_location.source.host_organization_lineage	https://openalex.org/P4310320257
best_oa_location.source.host_organization_lineage_names	American Institute of Physics
best_oa_location.license
best_oa_location.pdf_url	https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf
best_oa_location.version	publishedVersion
best_oa_location.raw_type	proceedings-article
best_oa_location.license_id
best_oa_location.is_accepted	True
best_oa_location.is_published	True
best_oa_location.raw_source_name	AIP Conference Proceedings
best_oa_location.landing_page_url	https://doi.org/10.1063/5.0198893
primary_location.id	doi:10.1063/5.0198893
primary_location.is_oa	True
primary_location.source.id	https://openalex.org/S2764696622
primary_location.source.issn	0094-243X, 1551-7616, 1935-0465
primary_location.source.type	journal
primary_location.source.is_oa	False
primary_location.source.issn_l	0094-243X
primary_location.source.is_core	True
primary_location.source.is_in_doaj	False
primary_location.source.display_name	AIP conference proceedings
primary_location.source.host_organization	https://openalex.org/P4310320257
primary_location.source.host_organization_name	American Institute of Physics
primary_location.source.host_organization_lineage	https://openalex.org/P4310320257
primary_location.source.host_organization_lineage_names	American Institute of Physics
primary_location.license
primary_location.pdf_url	https://pubs.aip.org/aip/acp/article-pdf/doi/10.1063/5.0198893/19710307/020007_1_5.0198893.pdf
primary_location.version	publishedVersion
primary_location.raw_type	proceedings-article
primary_location.license_id
primary_location.is_accepted	True
primary_location.is_published	True
primary_location.raw_source_name	AIP Conference Proceedings
primary_location.landing_page_url	https://doi.org/10.1063/5.0198893
publication_date	2024-01-01
publication_year	2024
referenced_works	https://openalex.org/W2972113714, https://openalex.org/W4245596311, https://openalex.org/W2786285907, https://openalex.org/W3210781381, https://openalex.org/W2787535799, https://openalex.org/W2568424517, https://openalex.org/W2476885932, https://openalex.org/W2124258049
referenced_works_count	8
abstract_inverted_index.%	109
abstract_inverted_index.a	18
abstract_inverted_index.By	127
abstract_inverted_index.In	77
abstract_inverted_index.It	42
abstract_inverted_index.as	104
abstract_inverted_index.at	135
abstract_inverted_index.be	56
abstract_inverted_index.by	59
abstract_inverted_index.in	9, 35, 113, 143
abstract_inverted_index.is	1, 17, 38
abstract_inverted_index.it	27
abstract_inverted_index.of	3, 14, 65, 99
abstract_inverted_index.on	26
abstract_inverted_index.to	79, 147
abstract_inverted_index.But	31
abstract_inverted_index.For	12
abstract_inverted_index.ROC	98
abstract_inverted_index.SVM	90, 100
abstract_inverted_index.aid	141
abstract_inverted_index.and	29, 89, 97
abstract_inverted_index.are	74, 133
abstract_inverted_index.can	140
abstract_inverted_index.for	122
abstract_inverted_index.one	2, 64
abstract_inverted_index.the	4, 10, 32, 45, 66, 70, 81, 119, 136
abstract_inverted_index.was	111
abstract_inverted_index.GLCM	88
abstract_inverted_index.Main	33
abstract_inverted_index.Rice	48
abstract_inverted_index.This	116
abstract_inverted_index.eye.	62
abstract_inverted_index.have	51
abstract_inverted_index.leaf	40, 49, 72, 124
abstract_inverted_index.most	19
abstract_inverted_index.rice	6, 16, 36, 39, 71, 123
abstract_inverted_index.that	54
abstract_inverted_index.this	114
abstract_inverted_index.were	93, 102
abstract_inverted_index.97±2	108
abstract_inverted_index.India	0
abstract_inverted_index.Using	63
abstract_inverted_index.early	137
abstract_inverted_index.every	23
abstract_inverted_index.food,	21
abstract_inverted_index.image	67, 83
abstract_inverted_index.major	20
abstract_inverted_index.order	78
abstract_inverted_index.paper	117
abstract_inverted_index.rate.	47
abstract_inverted_index.their	148
abstract_inverted_index.using	128
abstract_inverted_index.usual	60
abstract_inverted_index.which	139
abstract_inverted_index.years	15
abstract_inverted_index.Around	107
abstract_inverted_index.Median	84
abstract_inverted_index.cannot	55
abstract_inverted_index.crops.	149
abstract_inverted_index.damage	146
abstract_inverted_index.detect	80
abstract_inverted_index.easily	57
abstract_inverted_index.hugest	5
abstract_inverted_index.leaves	132
abstract_inverted_index.method	130
abstract_inverted_index.stage,	138
abstract_inverted_index.world.	11
abstract_inverted_index.Filter,	85
abstract_inverted_index.K-means	86
abstract_inverted_index.country	8
abstract_inverted_index.depends	25
abstract_inverted_index.disease	125
abstract_inverted_index.farmers	142
abstract_inverted_index.further	145
abstract_inverted_index.greatly	43
abstract_inverted_index.human's	61
abstract_inverted_index.mankind	24
abstract_inverted_index.method.	115
abstract_inverted_index.reduces	44
abstract_inverted_index.accuracy	110
abstract_inverted_index.achieved	112
abstract_inverted_index.detected	75
abstract_inverted_index.directly	28
abstract_inverted_index.diseased	82, 131
abstract_inverted_index.diseases	50, 73
abstract_inverted_index.proposed	129
abstract_inverted_index.specific	52
abstract_inverted_index.symptoms	53
abstract_inverted_index.Accuracy,	95
abstract_inverted_index.Precision	96
abstract_inverted_index.discusses	118
abstract_inverted_index.diseases.	41
abstract_inverted_index.efficient	120
abstract_inverted_index.hindrance	34
abstract_inverted_index.metrices.	106
abstract_inverted_index.proposed.	94
abstract_inverted_index.thousands	13
abstract_inverted_index.algorithms	92
abstract_inverted_index.calculated	103
abstract_inverted_index.classifier	91, 101
abstract_inverted_index.detection.	126
abstract_inverted_index.identified	58, 134
abstract_inverted_index.preventing	144
abstract_inverted_index.processing	68
abstract_inverted_index.production	37, 46
abstract_inverted_index.Clustering,	87
abstract_inverted_index.cultivating	7
abstract_inverted_index.indirectly.	30
abstract_inverted_index.methodology	121
abstract_inverted_index.performance	105
abstract_inverted_index.techniques,	69
abstract_inverted_index.consequently	22
abstract_inverted_index.efficiently.	76
cited_by_percentile_year
countries_distinct_count	0
institutions_distinct_count	5
sustainable_development_goals[0].id	https://metadata.un.org/sdg/2
sustainable_development_goals[0].score	0.4300000071525574
sustainable_development_goals[0].display_name	Zero hunger
citation_normalized_percentile.value	0.01689263
citation_normalized_percentile.is_in_top_1_percent	False
citation_normalized_percentile.is_in_top_10_percent	False