{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,16]],"date-time":"2026-04-16T16:34:57Z","timestamp":1776357297723,"version":"3.51.2"},"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\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3284550","type":"journal-article","created":{"date-parts":[[2023,6,9]],"date-time":"2023-06-09T17:26:53Z","timestamp":1686331613000},"page":"59286-59296","source":"Crossref","is-referenced-by-count":6,"title":["The Application of Augmented Reality Technology in Urban Greening Plant Growth State Detection"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-5615-5401","authenticated-orcid":false,"given":"Haohao","family":"Xing","sequence":"first","affiliation":[{"name":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fei","family":"Deng","sequence":"additional","affiliation":[{"name":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yun","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Cyber Security, Chengdu University of Technology, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qingqing","family":"Li","sequence":"additional","affiliation":[{"name":"Sichuan Tianyi Ecological Garden Group Company Ltd., Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jing","family":"Zhang","sequence":"additional","affiliation":[{"name":"China Southwest Architectural Design and Research Institute Company Ltd., Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-017-5054-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2020.105603"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-020-09825-6"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.compag.2022.107208"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.244"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2577031"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s17092022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref16","first-page":"1","article-title":"Very deep convolutional networks for large-scale image recognition","volume":"abs 1409 1556","author":"simonyan","year":"2014","journal-title":"CoRR"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1186\/s13007-020-00624-2"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref24","article-title":"PP-YOLOE: An evolved version of YOLO","author":"xu","year":"2022","journal-title":"arXiv 2203 16250"},{"key":"ref23","article-title":"YOLOX: Exceeding YOLO series in 2021","author":"ge","year":"2021","journal-title":"arXiv 2107 08430"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCT50939.2020.9295761"},{"key":"ref25","article-title":"Uncovering bias in the PlantVillage dataset","author":"noyan","year":"2022","journal-title":"arXiv 2206 04374"},{"key":"ref20","article-title":"YOLOv3: An incremental improvement","author":"redmon","year":"2018","journal-title":"arXiv 1804 02767"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01283"},{"key":"ref21","article-title":"Learning spatial fusion for single-shot object detection","author":"liu","year":"2019","journal-title":"arXiv 1911 09516"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICMTMA52658.2021.00011"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICSSIT53264.2022.9716322"},{"key":"ref8","first-page":"1","article-title":"Generative adversarial nets","author":"goodfellow","year":"2014","journal-title":"Proc NIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.25165\/j.ijabe.20221505.7005"},{"key":"ref9","article-title":"Improved part segmentation performance by optimising realism of synthetic images using cycle generative adversarial networks","author":"barth","year":"2018","journal-title":"arXiv 1803 06301"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fpls.2016.01419"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.122537"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.118117"},{"key":"ref5","article-title":"Deep learning techniques in tomato plant&#x2014;A review","volume":"1767","author":"saranya","year":"2021","journal-title":"J Phys Conf Ser"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10147199.pdf?arnumber=10147199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T19:38:11Z","timestamp":1689017891000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10147199\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3284550","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}