{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,7]],"date-time":"2025-06-07T04:07:05Z","timestamp":1749269225478,"version":"3.41.0"},"reference-count":69,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3575107","type":"journal-article","created":{"date-parts":[[2025,5,30]],"date-time":"2025-05-30T17:47:30Z","timestamp":1748627250000},"page":"95257-95274","source":"Crossref","is-referenced-by-count":0,"title":["Analysis of IoT-Collected Radish Growth Data Using Deep Neural Networks"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-8986-402X","authenticated-orcid":false,"given":"Ivan P.","family":"Malashin","sequence":"first","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3959-2969","authenticated-orcid":false,"given":"Vadim S.","family":"Tynchenko","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4246-9742","authenticated-orcid":false,"given":"Andrei P.","family":"Gantimurov","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6712-7135","authenticated-orcid":false,"given":"Vladimir A.","family":"Nelyub","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aleksei S.","family":"Borodulin","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Technology Scientific and Education Center, Bauman Moscow State Technical University, Moscow, Russia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy13122976"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy11061227"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.inpa.2021.02.006"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy12030714"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.plaphy.2020.01.006"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture13091782"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.107460"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106478"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICICEE.2012.538"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy13041169"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICCES.2014.7030971"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/agj2.21320"},{"key":"ref13","article-title":"Linear discriminant analysis of grain quality traits in Rice (oryza sativa l.) using the digital imaging technique","volume":"109","author":"Deepika","year":"2023","journal-title":"J. Cereal Sci."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture13050965"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/Agro-Geoinformatics.2016.7577698"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1002\/agj2.21341"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s41870-022-01136-z"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/agj2.21385"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-0199-9_13"},{"key":"ref20","first-page":"407","article-title":"Plant disease classification using deep learning","volume-title":"Proc. 3rd Int. Conf. Signal Process. Commun. (ICPSC)","author":"Akshai"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture11080707"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1063\/5.0072865"},{"issue":"5","key":"ref23","first-page":"300","article-title":"Iot framework for precision agriculture: Machine learning crop prediction","volume":"11","author":"Mohan","year":"2023","journal-title":"Int. J. Intell. Syst. Appl. in Eng."},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.ecoinf.2023.102141"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy14010159"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.tplants.2023.06.023"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489701"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.01.041"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/s11104-020-04701-2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/w13020148"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy13071881"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.scitotenv.2023.164149"},{"issue":"1","key":"ref33","first-page":"1","article-title":"A review of population-based Metaheuristic algorithms","volume":"5","author":"Beheshti","year":"2013","journal-title":"Int. J. Adv. Soft Comput. Appl."},{"key":"ref34","first-page":"1","article-title":"Scalable global optimization via local Bayesian optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Eriksson"},{"issue":"3","key":"ref35","first-page":"172","article-title":"Evolutionary search of approximated n-dimensional landscapes","volume":"4","author":"Liang","year":"2000","journal-title":"Int. J. Knowl. Based Intell. Eng. Syst."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA.2019.00222"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.parco.2014.04.008"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545664"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.121082"},{"issue":"1","key":"ref40","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref41","first-page":"1183","article-title":"Deep Bayesian active learning with image data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Gal"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-6374-0_3"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-45882-8_25"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-022-09966-7"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-06079-4"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s00034-023-02387-2"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3392565"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy14102230"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.3844\/jcssp.2025.34.42"},{"key":"ref50","article-title":"Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm","author":"Xiao","year":"2020","journal-title":"arXiv:2006.12703"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.3390\/app11020744"},{"key":"ref52","article-title":"Evolving neural architectures: A genetic algorithm approach to deep learning optimization","author":"Lavanya","year":"2025","journal-title":"SSRN Electron. J."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture14071141"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture15010081"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1002\/agg2.20186"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1111\/nph.19389"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.01.073"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1007\/s13369-023-07916-4"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.3390\/agronomy14020254"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture13020397"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture14040560"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2023.108313"},{"key":"ref63","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/2887.003.0035","article-title":"Adapting crossover in evolutionary algorithms","author":"Spears","year":"1995"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2925015"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2861760"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.3390\/app14083354"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.3390\/sym10110648"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118873"},{"issue":"86","key":"ref69","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11018323.pdf?arnumber=11018323","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,6]],"date-time":"2025-06-06T17:43:35Z","timestamp":1749231815000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11018323\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":69,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3575107","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2025]]}}}