{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T16:51:06Z","timestamp":1781283066875,"version":"3.54.1"},"reference-count":127,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100004767","name":"Norwegian University of Science and Technology through the open-access journal publication fund","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004767","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3419708","type":"journal-article","created":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T20:41:06Z","timestamp":1719520866000},"page":"100862-100891","source":"Crossref","is-referenced-by-count":29,"title":["Deep Learning Based Models for Paddy Disease Identification and Classification: A Systematic Survey"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-1027-3395","authenticated-orcid":false,"given":"Mahrin","family":"Tasfe","sequence":"first","affiliation":[{"name":"Faculty of Science and Technology (REALTEK), Norwegian University of Life Sciences (NMBU), &#x00C5;s, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-2345-8413","authenticated-orcid":false,"given":"Akm","family":"Nivrito","sequence":"additional","affiliation":[{"name":"Independent Researcher, Dhaka, Bangladesh"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1239-9261","authenticated-orcid":false,"given":"Fadi","family":"Al Machot","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology (REALTEK), Norwegian University of Life Sciences (NMBU), &#x00C5;s, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0222-6340","authenticated-orcid":false,"given":"Mohib","family":"Ullah","sequence":"additional","affiliation":[{"name":"Intelligent Systems and Analytics (ISA) Research Group, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Gj&#x00F8;vik, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2434-0849","authenticated-orcid":false,"given":"Habib","family":"Ullah","sequence":"additional","affiliation":[{"name":"Faculty of Science and Technology (REALTEK), Norwegian University of Life Sciences (NMBU), &#x00C5;s, Norway"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2022.05.398"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.biosystemseng.2020.03.020"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.eja.2023.126884"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-022-01094-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2020.114514"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.05.802"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICRITO56286.2022.9965113"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3390\/plants11172230"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10661-022-10656-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3208788.3208795"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/rs13091734"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-020-00652-x"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105393"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.14569\/ijacsa.2020.0110716"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2023.01.179"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s42161-020-00683-3"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.03.308"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3103\/s1060992x2104007x"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICITSI50517.2020.9264942"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2020.08.397"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-15163-0"},{"key":"ref22","volume-title":"Rice Stem Rot","year":"2004"},{"key":"ref23","volume-title":"Rice Stem Rot","year":"2024"},{"key":"ref24","volume-title":"Bakanae","year":"2024"},{"key":"ref25","volume-title":"Bakanae","author":"Sparks","year":"2024"},{"key":"ref26","volume-title":"Bakanae","year":"2004"},{"key":"ref27","volume-title":"Tungro","year":"2023"},{"key":"ref28","volume-title":"Stem Borer","year":"2024"},{"key":"ref29","volume-title":"Stem Borer","year":"2024"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/b978-0-323-85243-2.00025-8"},{"issue":"6","key":"ref31","first-page":"1","article-title":"Attention-based LSTM network for action recognition in sports","volume":"33","author":"Ullah","year":"2021","journal-title":"Electron. Imag."},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2023.12.062"},{"issue":"6","key":"ref33","first-page":"1141","article-title":"PaddyNet: An improved deep convolutional neural network for automated disease identification on visual paddy leaf images","volume":"14","author":"Petchiammal","year":"2023","journal-title":"Int. J. Adv. Comput. Sci. Appl."},{"key":"ref34","first-page":"203","article-title":"Paddy doctor: A visual image dataset for automated paddy disease classification and benchmarking","volume-title":"Proc. 6th Joint Int. Conf. Data Sci. Manag. Data","author":"Murugan"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114770"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.2352\/ei.2022.34.6.iriacv-264"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1726\/1\/012010"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ViTECoN.2019.8899748"},{"key":"ref39","article-title":"Explainable vision transformer enabled convolutional neural network for plant disease identification: PlantXViT","author":"Singh Thakur","year":"2022","journal-title":"arXiv:2207.07919"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.107518"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2023.102245"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1016\/j.aej.2023.07.076"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-11346-8_43"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-022-01034-1"},{"key":"ref45","article-title":"MobileNets: Efficient convolutional neural networks for mobile vision applications","author":"Howard","year":"2017","journal-title":"arXiv:1704.04861"},{"key":"ref46","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019","journal-title":"arXiv:1905.11946"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref48","article-title":"Learning transferable architectures for scalable image recognition","author":"Zoph","year":"2017","journal-title":"arXiv:1707.07012"},{"key":"ref49","article-title":"ShuffleNet: An extremely efficient convolutional neural network for mobile devices","author":"Zhang","year":"2017","journal-title":"arXiv:1707.01083"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1602.07360"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy13092240"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2023.102025"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2023.102320"},{"key":"ref54","article-title":"An open access repository of images on plant health to enable the development of mobile disease diagnostics through machine learning and crowdsourcing","author":"Hughes","year":"2015","journal-title":"ArXiv:1511.08060"},{"key":"ref55","volume-title":"PlantVillage Dataset","author":"Emmanuel","year":"2024"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref57","article-title":"Xception: Deep learning with depthwise separable convolutions","author":"Chollet","year":"2016","journal-title":"arXiv:1610.02357"},{"key":"ref58","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref60","article-title":"Densely connected convolutional networks","author":"Huang","year":"2016","journal-title":"arXiv:1608.06993"},{"key":"ref61","article-title":"An image is worth 16\u00d716 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020","journal-title":"arXiv:2010.11929"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00140"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.3390\/su15021502"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/access.2023.3264835"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2023.103472"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2023.105038"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7298594"},{"key":"ref68","article-title":"Generative adversarial networks","author":"Goodfellow","year":"2014","journal-title":"arXiv:1406.2661"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref70","article-title":"EfficientNetV2: Smaller models and faster training","author":"Tan","year":"2021","journal-title":"arXiv:2104.00298"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13144-z"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.105754"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2022.108357"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.4081\/jae.2023.1532"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1016\/j.inpa.2019.09.002"},{"key":"ref77","volume-title":"GridSearch Tuner","year":"2024"},{"key":"ref78","volume-title":"RandomSearch Tuner","year":"2024"},{"key":"ref79","volume-title":"BayesianOptimization Tuner","year":"2024"},{"key":"ref80","volume-title":"Hyperband Tuner","year":"2024"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-19-8406-8_31"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1016\/j.prime.2024.100534"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1016\/j.advengsoft.2017.07.002"},{"key":"ref84","doi-asserted-by":"publisher","DOI":"10.1109\/tii.2019.2951843"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2019.103249"},{"key":"ref86","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2021.106263"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-14831-6_70"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/tim.2018.2836058"},{"key":"ref89","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.cor.2014.10.008","article-title":"Water wave optimization: A new nature-inspired metaheuristic","volume":"55","author":"Zheng","year":"2015","journal-title":"Comput. Oper. Res."},{"key":"ref90","article-title":"SegNet: A deep convolutional encoder\u2013decoder architecture for image segmentation","author":"Badrinarayanan","year":"2015","journal-title":"arXiv:1511.00561"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.5267\/j.ijiec.2015.8.004"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.308"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.106943"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2023.200278"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1016\/j.jafr.2023.100764"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1016\/j.micpro.2022.104631"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-52038-y"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1016\/j.atech.2022.100083"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1016\/j.jii.2024.100572"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.107407"},{"key":"ref102","doi-asserted-by":"publisher","DOI":"10.1016\/j.matpr.2023.02.370"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2018.06.061"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.7717\/peerjcs.1384\/fig-1"},{"key":"ref105","volume-title":"Leaf Rice Disease","author":"Setiady","year":"2023"},{"key":"ref106","article-title":"Rice leaf disease image samples","author":"Sethy","year":"2020"},{"key":"ref107","volume-title":"Microsoft Rice Disease Classification Challenge","year":"2023"},{"key":"ref108","article-title":"Dhan-Shomadhan: A dataset of rice leaf disease classification for Bangladeshi local rice","author":"Hossain","year":"2021","journal-title":"arXiv:2309.07515"},{"key":"ref109","volume-title":"Rice Leaf Diseases in Taiwan","author":"Ou","year":"2022"},{"key":"ref110","volume-title":"Philippines Rice Diseases","author":"Agarwal","year":"2023"},{"key":"ref111","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford","year":"2015","journal-title":"arXiv:1511.06434"},{"key":"ref112","article-title":"A style-based generator architecture for generative adversarial networks","author":"Karras","year":"2018","journal-title":"arXiv:1812.04948"},{"key":"ref113","article-title":"Wasserstein GAN","author":"Arjovsky","year":"2017","journal-title":"arXiv:1701.07875"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref115","article-title":"Conditional generative adversarial nets","author":"Mirza","year":"2014","journal-title":"arXiv:1411.1784"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.3390\/s23156844"},{"key":"ref117","volume-title":"Rice Diseases Image Dataset","author":"Do","year":"2022"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/ICICT54344.2022.9850784"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEI.2009.5254824"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.108122"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiia.2023.07.001"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106020"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging7050083"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3018151"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1312.6114"},{"key":"ref126","first-page":"3483","article-title":"Learning structured output representation using deep conditional generative models","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Sohn"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiia.2023.08.005"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10574294.pdf?arnumber=10574294","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,7,25]],"date-time":"2024-07-25T17:39:41Z","timestamp":1721929181000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10574294\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":127,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3419708","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}