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To extract more effective and discriminative features, an integrated neural network denoted as MultiModel_VGR is proposed for automatic detection and severity assessment of pepper bacterial spot disease, which is based on three powerful and popular deep learning architectures, namely VGGNet, GoogLeNet and ResNet. Compared with state-of-the-art single CNN architectures and binary-integrated MultiModels, MultiModel_VGR yields the best overall accuracy of 95.34% on the hold-out test dataset, which may have great potential in crop disease control for modern agriculture.<\/jats:p>","DOI":"10.4018\/ijaeis.2020040103","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T10:22:24Z","timestamp":1582280544000},"page":"29-43","source":"Crossref","is-referenced-by-count":17,"title":["Automatic Detection and Severity Assessment of Pepper Bacterial Spot Disease via MultiModels Based on Convolutional Neural Networks"],"prefix":"10.4018","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4787-2549","authenticated-orcid":true,"given":"Qiufeng","family":"Wu","sequence":"first","affiliation":[{"name":"Northeast Agricultural University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Miaomiao","family":"Ji","sequence":"additional","affiliation":[{"name":"Northeast Agricultural University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhao","family":"Deng","sequence":"additional","affiliation":[{"name":"Northeast Agricultual University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJAEIS.2020040103-0","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2017.08.005"},{"key":"IJAEIS.2020040103-1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2019.04.011"},{"key":"IJAEIS.2020040103-2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/2917536"},{"key":"IJAEIS.2020040103-3","doi-asserted-by":"publisher","DOI":"10.1109\/SAI.2015.7237209"},{"key":"IJAEIS.2020040103-4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"IJAEIS.2020040103-5","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"IJAEIS.2020040103-6","unstructured":"Hughes, D. 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