BAT Algorithm-Based Multi-Class Crop Leaf Disease Prediction Bootstrap Model Article Swipe
V. K. Choudhary
,
Archana Thakur
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.46604/peti.2024.13352
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.46604/peti.2024.13352
In the task of identification of infected agriculture plants, the leaf-based disease identification technique is especially effective in better understand crop disease among various techniques to detect infection. Recognition of an infected leaf image from healthy images gets encumbered when the model is required to detect the type of leaf disease. This paper presents a BAT-based crop disease prediction bootstrap model (BCDPBM) that identifies the health of the leaf and performs disease prediction. The BAT algorithm in the proposed model increases the capability of the Gaussian mixture model for foreground region detection. Furthermore, in the work, the co-occurrence matrix feature and histogram feature are extracted for the training of the bootstrap model. Hence, leaf foreground detection by the BAT algorithm with the Gaussian mixture improves the feature extraction quality for bootstrap learning. The proposed model utilizes a dataset of real leaf images for conducting experiments. The results of the model are compared with different existing models across various parameters. The results show the prediction accuracy enhancement of multiclass leaf disease using the BCDPBM model.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.46604/peti.2024.13352
- https://ojs.imeti.org/index.php/PETI/article/download/13352/1508
- OA Status
- diamond
- Cited By
- 3
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392463377
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392463377Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.46604/peti.2024.13352Digital Object Identifier
- Title
-
BAT Algorithm-Based Multi-Class Crop Leaf Disease Prediction Bootstrap ModelWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-29Full publication date if available
- Authors
-
V. K. Choudhary, Archana ThakurList of authors in order
- Landing page
-
https://doi.org/10.46604/peti.2024.13352Publisher landing page
- PDF URL
-
https://ojs.imeti.org/index.php/PETI/article/download/13352/1508Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://ojs.imeti.org/index.php/PETI/article/download/13352/1508Direct OA link when available
- Concepts
-
Class (philosophy), Algorithm, Computer science, Crop, Artificial intelligence, Mathematics, Agronomy, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 2Per-year citation counts (last 5 years)
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4392463377 |
|---|---|
| doi | https://doi.org/10.46604/peti.2024.13352 |
| ids.doi | https://doi.org/10.46604/peti.2024.13352 |
| ids.openalex | https://openalex.org/W4392463377 |
| fwci | 2.34614723 |
| type | article |
| title | BAT Algorithm-Based Multi-Class Crop Leaf Disease Prediction Bootstrap Model |
| biblio.issue | |
| biblio.volume | 26 |
| biblio.last_page | 82 |
| biblio.first_page | 72 |
| 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 | 0.9991000294685364 |
| 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/T12093 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.9588000178337097 |
| 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 | Greenhouse Technology and Climate Control |
| 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 | 0.939300000667572 |
| 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/C2777212361 |
| concepts[0].level | 2 |
| concepts[0].score | 0.5889971852302551 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q5127848 |
| concepts[0].display_name | Class (philosophy) |
| concepts[1].id | https://openalex.org/C11413529 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5282406210899353 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q8366 |
| concepts[1].display_name | Algorithm |
| concepts[2].id | https://openalex.org/C41008148 |
| concepts[2].level | 0 |
| concepts[2].score | 0.44106540083885193 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[2].display_name | Computer science |
| concepts[3].id | https://openalex.org/C137580998 |
| concepts[3].level | 2 |
| concepts[3].score | 0.42944595217704773 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q235352 |
| concepts[3].display_name | Crop |
| concepts[4].id | https://openalex.org/C154945302 |
| concepts[4].level | 1 |
| concepts[4].score | 0.3779260218143463 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11660 |
| concepts[4].display_name | Artificial intelligence |
| concepts[5].id | https://openalex.org/C33923547 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3469020426273346 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[5].display_name | Mathematics |
| concepts[6].id | https://openalex.org/C6557445 |
| concepts[6].level | 1 |
| concepts[6].score | 0.21308216452598572 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q173113 |
| concepts[6].display_name | Agronomy |
| concepts[7].id | https://openalex.org/C86803240 |
| concepts[7].level | 0 |
| concepts[7].score | 0.1416167914867401 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[7].display_name | Biology |
| keywords[0].id | https://openalex.org/keywords/class |
| keywords[0].score | 0.5889971852302551 |
| keywords[0].display_name | Class (philosophy) |
| keywords[1].id | https://openalex.org/keywords/algorithm |
| keywords[1].score | 0.5282406210899353 |
| keywords[1].display_name | Algorithm |
| keywords[2].id | https://openalex.org/keywords/computer-science |
| keywords[2].score | 0.44106540083885193 |
| keywords[2].display_name | Computer science |
| keywords[3].id | https://openalex.org/keywords/crop |
| keywords[3].score | 0.42944595217704773 |
| keywords[3].display_name | Crop |
| keywords[4].id | https://openalex.org/keywords/artificial-intelligence |
| keywords[4].score | 0.3779260218143463 |
| keywords[4].display_name | Artificial intelligence |
| keywords[5].id | https://openalex.org/keywords/mathematics |
| keywords[5].score | 0.3469020426273346 |
| keywords[5].display_name | Mathematics |
| keywords[6].id | https://openalex.org/keywords/agronomy |
| keywords[6].score | 0.21308216452598572 |
| keywords[6].display_name | Agronomy |
| keywords[7].id | https://openalex.org/keywords/biology |
| keywords[7].score | 0.1416167914867401 |
| keywords[7].display_name | Biology |
| language | en |
| locations[0].id | doi:10.46604/peti.2024.13352 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210201138 |
| locations[0].source.issn | 2413-7146, 2518-833X |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 2413-7146 |
| locations[0].source.is_core | True |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Proceedings of Engineering and Technology Innovation |
| locations[0].source.host_organization | https://openalex.org/P4310319360 |
| locations[0].source.host_organization_name | Taiwan Association of Engineering and Technology Innovation |
| locations[0].source.host_organization_lineage | https://openalex.org/P4310319360 |
| locations[0].source.host_organization_lineage_names | Taiwan Association of Engineering and Technology Innovation |
| locations[0].license | cc-by-nc |
| locations[0].pdf_url | https://ojs.imeti.org/index.php/PETI/article/download/13352/1508 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by-nc |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | Proceedings of Engineering and Technology Innovation |
| locations[0].landing_page_url | https://doi.org/10.46604/peti.2024.13352 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5070400910 |
| authorships[0].author.orcid | https://orcid.org/0000-0003-3588-4224 |
| authorships[0].author.display_name | V. K. Choudhary |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210113021 |
| authorships[0].affiliations[0].raw_affiliation_string | Institute of Engineering and Technology, DAVV/ IPS Academy, Institute of Engineering and Science, Indore, India |
| authorships[0].institutions[0].id | https://openalex.org/I4210113021 |
| authorships[0].institutions[0].ror | https://ror.org/01xyp8r96 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I4210113021 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | IPS Academy |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | None Vijay Choudhary |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Institute of Engineering and Technology, DAVV/ IPS Academy, Institute of Engineering and Science, Indore, India |
| authorships[1].author.id | https://openalex.org/A5041195374 |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | Archana Thakur |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I138272832 |
| authorships[1].affiliations[0].raw_affiliation_string | School of Computer Science & IT, Devi Ahilya University, Indore, India |
| authorships[1].institutions[0].id | https://openalex.org/I138272832 |
| authorships[1].institutions[0].ror | https://ror.org/05c2p1f98 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I138272832 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Devi Ahilya Vishwavidyalaya |
| authorships[1].author_position | last |
| authorships[1].raw_author_name | None Archana Thakur |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | School of Computer Science & IT, Devi Ahilya University, Indore, India |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://ojs.imeti.org/index.php/PETI/article/download/13352/1508 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | BAT Algorithm-Based Multi-Class Crop Leaf Disease Prediction Bootstrap Model |
| 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 | 0.9991000294685364 |
| 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/W1979597421, https://openalex.org/W2007980826, https://openalex.org/W2061531152, https://openalex.org/W3002753104, https://openalex.org/W2077600819, https://openalex.org/W2142036596, https://openalex.org/W2072657027, https://openalex.org/W2600246793, https://openalex.org/W4238204885, https://openalex.org/W2963966623 |
| cited_by_count | 3 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2024 |
| counts_by_year[1].cited_by_count | 2 |
| locations_count | 1 |
| best_oa_location.id | doi:10.46604/peti.2024.13352 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210201138 |
| best_oa_location.source.issn | 2413-7146, 2518-833X |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 2413-7146 |
| best_oa_location.source.is_core | True |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Proceedings of Engineering and Technology Innovation |
| best_oa_location.source.host_organization | https://openalex.org/P4310319360 |
| best_oa_location.source.host_organization_name | Taiwan Association of Engineering and Technology Innovation |
| best_oa_location.source.host_organization_lineage | https://openalex.org/P4310319360 |
| best_oa_location.source.host_organization_lineage_names | Taiwan Association of Engineering and Technology Innovation |
| best_oa_location.license | cc-by-nc |
| best_oa_location.pdf_url | https://ojs.imeti.org/index.php/PETI/article/download/13352/1508 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by-nc |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | Proceedings of Engineering and Technology Innovation |
| best_oa_location.landing_page_url | https://doi.org/10.46604/peti.2024.13352 |
| primary_location.id | doi:10.46604/peti.2024.13352 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210201138 |
| primary_location.source.issn | 2413-7146, 2518-833X |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 2413-7146 |
| primary_location.source.is_core | True |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Proceedings of Engineering and Technology Innovation |
| primary_location.source.host_organization | https://openalex.org/P4310319360 |
| primary_location.source.host_organization_name | Taiwan Association of Engineering and Technology Innovation |
| primary_location.source.host_organization_lineage | https://openalex.org/P4310319360 |
| primary_location.source.host_organization_lineage_names | Taiwan Association of Engineering and Technology Innovation |
| primary_location.license | cc-by-nc |
| primary_location.pdf_url | https://ojs.imeti.org/index.php/PETI/article/download/13352/1508 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by-nc |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | Proceedings of Engineering and Technology Innovation |
| primary_location.landing_page_url | https://doi.org/10.46604/peti.2024.13352 |
| publication_date | 2024-02-29 |
| publication_year | 2024 |
| referenced_works | https://openalex.org/W3004735615, https://openalex.org/W3191725184, https://openalex.org/W4205823565, https://openalex.org/W2809254203, https://openalex.org/W3178340391, https://openalex.org/W4385188164, https://openalex.org/W2753403518, https://openalex.org/W4312327357, https://openalex.org/W4386322996, https://openalex.org/W3033864984, https://openalex.org/W2903000008, https://openalex.org/W4389776637, https://openalex.org/W4362654674, https://openalex.org/W2102625004, https://openalex.org/W2759307333, https://openalex.org/W4285818296, https://openalex.org/W4379881951, https://openalex.org/W2011425943, https://openalex.org/W4381611223, https://openalex.org/W3177354183, https://openalex.org/W3211177584, https://openalex.org/W3196935629, https://openalex.org/W4383066749 |
| referenced_works_count | 23 |
| abstract_inverted_index.a | 54, 136 |
| abstract_inverted_index.In | 0 |
| abstract_inverted_index.an | 30 |
| abstract_inverted_index.by | 116 |
| abstract_inverted_index.in | 17, 76, 93 |
| abstract_inverted_index.is | 14, 42 |
| abstract_inverted_index.of | 3, 5, 29, 48, 66, 83, 108, 138, 147, 166 |
| abstract_inverted_index.to | 25, 44 |
| abstract_inverted_index.BAT | 74, 118 |
| abstract_inverted_index.The | 73, 132, 145, 159 |
| abstract_inverted_index.and | 69, 100 |
| abstract_inverted_index.are | 103, 150 |
| abstract_inverted_index.for | 88, 105, 129, 142 |
| abstract_inverted_index.the | 1, 9, 40, 46, 64, 67, 77, 81, 84, 94, 96, 106, 109, 117, 121, 125, 148, 162, 171 |
| abstract_inverted_index.This | 51 |
| abstract_inverted_index.crop | 20, 56 |
| abstract_inverted_index.from | 34 |
| abstract_inverted_index.gets | 37 |
| abstract_inverted_index.leaf | 32, 49, 68, 113, 140, 168 |
| abstract_inverted_index.real | 139 |
| abstract_inverted_index.show | 161 |
| abstract_inverted_index.task | 2 |
| abstract_inverted_index.that | 62 |
| abstract_inverted_index.type | 47 |
| abstract_inverted_index.when | 39 |
| abstract_inverted_index.with | 120, 152 |
| abstract_inverted_index.among | 22 |
| abstract_inverted_index.image | 33 |
| abstract_inverted_index.model | 41, 60, 79, 87, 134, 149 |
| abstract_inverted_index.paper | 52 |
| abstract_inverted_index.using | 170 |
| abstract_inverted_index.work, | 95 |
| abstract_inverted_index.BCDPBM | 172 |
| abstract_inverted_index.Hence, | 112 |
| abstract_inverted_index.across | 156 |
| abstract_inverted_index.better | 18 |
| abstract_inverted_index.detect | 26, 45 |
| abstract_inverted_index.health | 65 |
| abstract_inverted_index.images | 36, 141 |
| abstract_inverted_index.matrix | 98 |
| abstract_inverted_index.model. | 111, 173 |
| abstract_inverted_index.models | 155 |
| abstract_inverted_index.region | 90 |
| abstract_inverted_index.dataset | 137 |
| abstract_inverted_index.disease | 11, 21, 57, 71, 169 |
| abstract_inverted_index.feature | 99, 102, 126 |
| abstract_inverted_index.healthy | 35 |
| abstract_inverted_index.mixture | 86, 123 |
| abstract_inverted_index.plants, | 8 |
| abstract_inverted_index.quality | 128 |
| abstract_inverted_index.results | 146, 160 |
| abstract_inverted_index.various | 23, 157 |
| abstract_inverted_index.(BCDPBM) | 61 |
| abstract_inverted_index.Gaussian | 85, 122 |
| abstract_inverted_index.accuracy | 164 |
| abstract_inverted_index.compared | 151 |
| abstract_inverted_index.disease. | 50 |
| abstract_inverted_index.existing | 154 |
| abstract_inverted_index.improves | 124 |
| abstract_inverted_index.infected | 6, 31 |
| abstract_inverted_index.performs | 70 |
| abstract_inverted_index.presents | 53 |
| abstract_inverted_index.proposed | 78, 133 |
| abstract_inverted_index.required | 43 |
| abstract_inverted_index.training | 107 |
| abstract_inverted_index.utilizes | 135 |
| abstract_inverted_index.BAT-based | 55 |
| abstract_inverted_index.algorithm | 75, 119 |
| abstract_inverted_index.bootstrap | 59, 110, 130 |
| abstract_inverted_index.detection | 115 |
| abstract_inverted_index.different | 153 |
| abstract_inverted_index.effective | 16 |
| abstract_inverted_index.extracted | 104 |
| abstract_inverted_index.histogram | 101 |
| abstract_inverted_index.increases | 80 |
| abstract_inverted_index.learning. | 131 |
| abstract_inverted_index.technique | 13 |
| abstract_inverted_index.capability | 82 |
| abstract_inverted_index.conducting | 143 |
| abstract_inverted_index.detection. | 91 |
| abstract_inverted_index.encumbered | 38 |
| abstract_inverted_index.especially | 15 |
| abstract_inverted_index.extraction | 127 |
| abstract_inverted_index.foreground | 89, 114 |
| abstract_inverted_index.identifies | 63 |
| abstract_inverted_index.infection. | 27 |
| abstract_inverted_index.leaf-based | 10 |
| abstract_inverted_index.multiclass | 167 |
| abstract_inverted_index.prediction | 58, 163 |
| abstract_inverted_index.techniques | 24 |
| abstract_inverted_index.understand | 19 |
| abstract_inverted_index.Recognition | 28 |
| abstract_inverted_index.agriculture | 7 |
| abstract_inverted_index.enhancement | 165 |
| abstract_inverted_index.parameters. | 158 |
| abstract_inverted_index.prediction. | 72 |
| abstract_inverted_index.Furthermore, | 92 |
| abstract_inverted_index.experiments. | 144 |
| abstract_inverted_index.co-occurrence | 97 |
| abstract_inverted_index.identification | 4, 12 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 91 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 2 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.75 |
| sustainable_development_goals[0].display_name | Zero hunger |
| citation_normalized_percentile.value | 0.8802675 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |