{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T20:17:22Z","timestamp":1767212242977,"version":"3.37.3"},"reference-count":28,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32360437"],"award-info":[{"award-number":["32360437"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Colleges and Universities in Gansu of China","award":["2021A-056"],"award-info":[{"award-number":["2021A-056"]}]},{"name":"Industrial Support and Guidance Project of Universities in Gansu Province, China","award":["2021CYZC-57"],"award-info":[{"award-number":["2021CYZC-57"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3326824","type":"journal-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T18:17:14Z","timestamp":1698085034000},"page":"119553-119559","source":"Crossref","is-referenced-by-count":4,"title":["IRB-5-CA Net: A Lightweight, Deep Learning-Based Approach to Wheat Seed Identification"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-0185-1278","authenticated-orcid":false,"given":"Yongqiang","family":"Feng","sequence":"first","affiliation":[{"name":"College of Information Sciences and Technology, Gansu Agricultural University, Lanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengzhong","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Information Sciences and Technology, Gansu Agricultural University, Lanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6130-7773","authenticated-orcid":false,"given":"Junying","family":"Han","sequence":"additional","affiliation":[{"name":"College of Information Sciences and Technology, Gansu Agricultural University, Lanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinglin","family":"Lu","sequence":"additional","affiliation":[{"name":"Wheat Research Institute, Gansu Academy of Agricultural Sciences, Lanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-4022-3185","authenticated-orcid":false,"given":"Xue","family":"Xing","sequence":"additional","affiliation":[{"name":"College of Information Sciences and Technology, Gansu Agricultural University, Lanzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"Image recognition model of light VGG maize kernel based on attention mechanism","author":"mengyan","year":"2023","journal-title":"Journal of the Chinese Cereals and Oils Association"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.3390\/agriculture12111929"},{"key":"ref15","first-page":"143","article-title":"Identification of crop leaf diseases based on improved MobileNetV2 model","volume":"52","author":"huanxin","year":"2023","journal-title":"Henan J Agr Sci"},{"key":"ref14","first-page":"169","article-title":"Model for the recognition of large-scale multi-class diseases and pests","volume":"38","author":"changji","year":"2022","journal-title":"Trans Chin Soc Agricult Eng"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1016\/j.jspr.2021.101800"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref2","first-page":"89","article-title":"Nutritional value and exploitation of wheat germ","volume":"42","author":"xiaoguang","year":"2022","journal-title":"Agricultural Engineering Technology"},{"doi-asserted-by":"publisher","key":"ref1","DOI":"10.1111\/mpp.12618"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.3390\/su15031906"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1109\/ICREST51555.2021.9331214"},{"doi-asserted-by":"publisher","key":"ref19","DOI":"10.3390\/agriculture13010011"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.1109\/ACCESS.2022.3142817"},{"key":"ref24","article-title":"CBAM: Convolutional block attention module","author":"sanghyun","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"doi-asserted-by":"publisher","key":"ref23","DOI":"10.1109\/CVPR42600.2020.01155"},{"doi-asserted-by":"publisher","key":"ref26","DOI":"10.1109\/CVPR46437.2021.01352"},{"doi-asserted-by":"publisher","key":"ref25","DOI":"10.3390\/s23094234"},{"doi-asserted-by":"publisher","key":"ref20","DOI":"10.1109\/iEECON53204.2022.9741677"},{"doi-asserted-by":"publisher","key":"ref22","DOI":"10.1109\/CVPR.2018.00745"},{"doi-asserted-by":"publisher","key":"ref21","DOI":"10.1117\/12.2643639"},{"doi-asserted-by":"publisher","key":"ref28","DOI":"10.1109\/CVPR46437.2021.01350"},{"key":"ref27","article-title":"Inverted residuals and linear bottlenecks: Mobile networks for classification, detection and segmentation","author":"howard","year":"2018","journal-title":"Proc CVPR"},{"key":"ref8","article-title":"Deep learning with depth wise separable convolutions","author":"fran","year":"2017","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"doi-asserted-by":"publisher","key":"ref7","DOI":"10.1109\/CVPR.2016.308"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","first-page":"1","article-title":"ImageNet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref3","first-page":"163","article-title":"Analysis of nutrient content in different wheat varieties by near infrared spectroscopy","volume":"40","author":"chen","year":"2019","journal-title":"Food Research and Development"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.1016\/j.jssas.2021.02.008"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/ICCIT52419.2022.9711662"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10292649.pdf?arnumber=10292649","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T20:01:10Z","timestamp":1701115270000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10292649\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3326824","relation":{},"ISSN":["2169-3536"],"issn-type":[{"type":"electronic","value":"2169-3536"}],"subject":[],"published":{"date-parts":[[2023]]}}}