{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T22:31:24Z","timestamp":1784154684910,"version":"3.55.0"},"reference-count":59,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"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":[[2022]]},"DOI":"10.1109\/access.2022.3223710","type":"journal-article","created":{"date-parts":[[2022,11,21]],"date-time":"2022-11-21T21:11:43Z","timestamp":1669065103000},"page":"122612-122626","source":"Crossref","is-referenced-by-count":31,"title":["Automatic Monitoring Cheese Ripeness Using Computer Vision and Artificial Intelligence"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6571-3816","authenticated-orcid":false,"given":"Andrea","family":"Loddo","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4641-0307","authenticated-orcid":false,"given":"Cecilia","family":"Di Ruberto","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Giuliano","family":"Armano","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Cagliari, Cagliari, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1287-2768","authenticated-orcid":false,"given":"Andrea","family":"Manconi","sequence":"additional","affiliation":[{"name":"Institute of Biomedical Technologies, National Research Council, CNR, Segrate, Milan, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.1997.609412"},{"key":"ref33","first-page":"227","article-title":"Image annotation by moments","volume":"1","author":"oujaoura","year":"2014","journal-title":"Moments and Moment Invariants—Theory and Applications"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/34.3913"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1364\/JOSA.70.000920"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/TIT.1962.1057692","article-title":"Visual pattern recognition by moment invariants","volume":"8","author":"hu","year":"1962","journal-title":"IRE Trans Inf Theory"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-68560-1_35"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2002.1017623"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.06.012"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/83.941859"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.114656"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2021.106269"},{"key":"ref29","first-page":"416","article-title":"Multi-camera tracking of vehicles based on deep features re-id and trajectory-based camera link models","author":"hsu","year":"2019","journal-title":"Proc IEEE Conf Comp Vis Pattern Recognit"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1471-0307.2004.00147.x"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2019.04.013"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1080\/2151237X.2007.10129236"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2979007"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-89128-2_28"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2890743"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2935174"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2019.02.005"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3149824"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.11231"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1023\/A:1010933404324"},{"key":"ref58","first-page":"463","article-title":"Learning efficient classification procedures and their application to chess end games","author":"quinlan","year":"1983","journal-title":"Machine Learning"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995477"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1967.1053964"},{"key":"ref55","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume":"37","author":"ioffe","year":"2015","journal-title":"Proc Int Conf Mach Learn"},{"key":"ref54","first-page":"6105","article-title":"EfficientNet: Rethinking model scaling for convolutional neural networks","volume":"97","author":"tan","year":"2019","journal-title":"Mach Learn Res"},{"key":"ref53","first-page":"2261","article-title":"Densely connected convolutional networks","author":"huang","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref52","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodres.2019.03.063"},{"key":"ref40","author":"nixon","year":"2019","journal-title":"Feature Extraction in Computer Vision and Image Processing"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104728"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104764"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.3390\/jimaging4050063"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70742-6_41"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2018.09.001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW56347.2022.00503"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01184"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2837046"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-021-03622-w"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/BF00395937"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0958-1669(00)00130-0"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/S0958-6946(00)00025-X"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.3390\/dairy2040042"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1051\/dst\/2008041"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.idairyj.2004.07.026"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.talanta.2013.04.043"},{"key":"ref46","article-title":"Efficient DNN training with knowledge-guided layer freezing","author":"wang","year":"2022","journal-title":"arXiv 2201 06227"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.106977"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref47","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume":"1","author":"krizhevsky","year":"2012","journal-title":"Proc NIPS"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09292-9"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-323-90184-0.00006-0"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref43","first-page":"647","article-title":"DeCAF: A deep convolutional activation feature for generic visual recognition","author":"donahue","year":"2014","journal-title":"Proc Int Conf ML"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09956763.pdf?arnumber=9956763","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T19:55:12Z","timestamp":1671479712000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956763\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":59,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3223710","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}