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Considering the increased quality risk in the food supply chain, many researchers have applied various information technologies to develop real\u2010time risk identification and traceability systems (RITSs) for preferable food safety guarantee. This paper presents an innovative approach by utilizing the deep\u2010stacking network method for hazardous risk identification, which relies on massive multisource data monitored by the Internet of Things timely in the whole food supply chain. The aim of the proposed method is to help managers and operators in food enterprises to find accurate risk levels of food security in advance and to provide regulatory authorities and consumers with potential rules for better decision\u2010making, thereby maintaining the safety and sustainability of food product supply. The verification experiments show that the proposed method has the best performance in terms of prediction accuracy up to 97.62%, meanwhile achieves the appropriate model parameters only up to 211.26 megabytes. Moreover, the case analysis is implemented to illustrate the outperforming performance of the proposed method in risk level identification. It can effectively enhance the RITS ability for assuring food supply chain security and attaining multiple cooperation between regulators, enterprises, and consumers.<\/jats:p>","DOI":"10.1155\/2021\/1194565","type":"journal-article","created":{"date-parts":[[2021,11,11]],"date-time":"2021-11-11T06:05:25Z","timestamp":1636610725000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":82,"title":["Deep\u2010Stacking Network Approach by Multisource Data Mining for Hazardous Risk Identification in IoT\u2010Based Intelligent Food Management Systems"],"prefix":"10.1155","volume":"2021","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0074-3467","authenticated-orcid":false,"given":"Jianlei","family":"Kong","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chengcai","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1449-7823","authenticated-orcid":false,"given":"Jianli","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1047-4245","authenticated-orcid":false,"given":"Xiaoyi","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3336-2940","authenticated-orcid":false,"given":"Min","family":"Zuo","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2230-0077","authenticated-orcid":false,"given":"Xuebo","family":"Jin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sen","family":"Lin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2021,11,10]]},"reference":[{"key":"e_1_2_9_1_2","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2020.1725684"},{"key":"e_1_2_9_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodcont.2016.09.048"},{"key":"e_1_2_9_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/su12125004"},{"key":"e_1_2_9_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/1750-3841.14999"},{"key":"e_1_2_9_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2019.07.040"},{"key":"e_1_2_9_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2019.11.002"},{"key":"e_1_2_9_7_2","doi-asserted-by":"publisher","DOI":"10.3390\/socsci8030084"},{"key":"e_1_2_9_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2019.05.023"},{"key":"e_1_2_9_9_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tifs.2021.01.066"},{"key":"e_1_2_9_10_2","doi-asserted-by":"publisher","DOI":"10.5740\/jaoacint.10-251"},{"key":"e_1_2_9_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodcont.2021.107866"},{"key":"e_1_2_9_12_2","doi-asserted-by":"publisher","DOI":"10.1142\/s0219622017500419"},{"key":"e_1_2_9_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/10408398.2020.1747978"},{"key":"e_1_2_9_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2019.04.322"},{"key":"e_1_2_9_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jand.2018.09.001"},{"key":"e_1_2_9_16_2","first-page":"30","article-title":"Blockchain-based traceability model for grains and oils whole supply chain","volume":"41","author":"Dong Y.","year":"2020","journal-title":"Food Science"},{"key":"e_1_2_9_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodchem.2019.04.073"},{"key":"e_1_2_9_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodcont.2018.06.001"},{"key":"e_1_2_9_19_2","doi-asserted-by":"publisher","DOI":"10.3390\/foods9111615"},{"key":"e_1_2_9_20_2","doi-asserted-by":"publisher","DOI":"10.1111\/risa.12218"},{"key":"e_1_2_9_21_2","doi-asserted-by":"publisher","DOI":"10.1080\/08839514.2016.1169048"},{"key":"e_1_2_9_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/tcpmt.2016.2589206"},{"key":"e_1_2_9_23_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2019.05.022"},{"key":"e_1_2_9_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpe.2018.07.012"},{"key":"e_1_2_9_25_2","article-title":"Protein signatures to trace seafood contamination and processing","volume":"9","author":"Martinez I.","year":"2019","journal-title":"Foods"},{"key":"e_1_2_9_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfoodeng.2019.109698"},{"key":"e_1_2_9_27_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2016.11.023"},{"key":"e_1_2_9_28_2","doi-asserted-by":"publisher","DOI":"10.3390\/drones4010007"},{"key":"e_1_2_9_29_2","doi-asserted-by":"crossref","unstructured":"HeK. 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