{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,19]],"date-time":"2024-11-19T18:39:16Z","timestamp":1732041556405},"reference-count":28,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T00:00:00Z","timestamp":1656633600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2022,7]]},"DOI":"10.1016\/j.compag.2022.107079","type":"journal-article","created":{"date-parts":[[2022,6,2]],"date-time":"2022-06-02T09:12:28Z","timestamp":1654161148000},"page":"107079","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":76,"special_numbering":"C","title":["Rachis detection and three-dimensional localization of cut off point for vision-based banana robot"],"prefix":"10.1016","volume":"198","author":[{"given":"Fengyun","family":"Wu","sequence":"first","affiliation":[]},{"given":"Jieli","family":"Duan","sequence":"additional","affiliation":[]},{"given":"Puye","family":"Ai","sequence":"additional","affiliation":[]},{"given":"Zhaoyi","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Zhou","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Xiangjun","family":"Zou","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2022.107079_b0005","doi-asserted-by":"crossref","first-page":"105508","DOI":"10.1016\/j.compag.2020.105508","article-title":"Three-dimensional perception of orchard banana central stock enhanced by adaptive multi-vision technology","volume":"174","author":"Chen","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0010","doi-asserted-by":"crossref","first-page":"365","DOI":"10.3390\/agronomy12020365","article-title":"Plant disease recognition model based on improved YOLOv5","volume":"12","author":"Chen","year":"2022","journal-title":"Agronomy"},{"key":"10.1016\/j.compag.2022.107079_b0015","doi-asserted-by":"crossref","first-page":"196835","DOI":"10.1109\/ACCESS.2020.3029215","article-title":"Fast and accurate detection of banana fruits in complex background orchards","volume":"8","author":"Fu","year":"2020","journal-title":"IEEE Access"},{"issue":"3","key":"10.1016\/j.compag.2022.107079_b0020","doi-asserted-by":"crossref","first-page":"754","DOI":"10.1007\/s11119-020-09754-y","article-title":"Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model","volume":"22","author":"Fu","year":"2021","journal-title":"Precis. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0025","doi-asserted-by":"crossref","first-page":"105634","DOI":"10.1016\/j.compag.2020.105634","article-title":"Multi-class fruit-on-plant detection for apple in SNAP system using faster R-CNN","volume":"176","author":"Gao","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0030","first-page":"580","article-title":"Rich feature hierarchies for accurate object detection and semantic segmentation","volume":"2014","author":"Girshick","year":"2014","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"10.1016\/j.compag.2022.107079_b0035","unstructured":"Huang, X., Wang, X., Lv, W., Bai, X., Long, X., Deng, K., Dang, Q., Han, S., Liu, Q., Hu, X., Yu, D., Ma, Y., & Yoshie, O. (2021). PP-YOLOv2: A Practical Object Detector. http:\/\/arxiv.org\/abs\/2104.10419."},{"issue":"6","key":"10.1016\/j.compag.2022.107079_b0040","doi-asserted-by":"crossref","first-page":"1107","DOI":"10.1007\/s11119-019-09642-0","article-title":"Deep learning for real-time fruit detection and orchard fruit load estimation: benchmarking of \u2018MangoYOLO\u2019","volume":"20","author":"Koirala","year":"2019","journal-title":"Precis. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0045","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition","first-page":"12321","article-title":"Involution: inverting the inherence of convolution for visual recognition","author":"Li","year":"2021"},{"key":"10.1016\/j.compag.2022.107079_b0050","doi-asserted-by":"crossref","first-page":"117746","DOI":"10.1109\/ACCESS.2020.3005386","article-title":"Detection of fruit-bearing branches and localization of litchi clusters for vision-based harvesting robots","volume":"8","author":"Li","year":"2020","journal-title":"IEEE Access"},{"key":"10.1016\/j.compag.2022.107079_b0055","doi-asserted-by":"crossref","first-page":"80373","DOI":"10.1109\/ACCESS.2021.3085338","article-title":"Research on a product quality monitoring method based on multi scale PP-YOLO","volume":"9","author":"Li","year":"2021","journal-title":"IEEE Access"},{"key":"10.1016\/j.compag.2022.107079_b0060","doi-asserted-by":"crossref","first-page":"105192","DOI":"10.1016\/j.compag.2019.105192","article-title":"A visual detection method for nighttime litchi fruits and fruiting stems","volume":"169","author":"Liang","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0065","doi-asserted-by":"crossref","first-page":"34","DOI":"10.1016\/j.biosystemseng.2019.06.019","article-title":"In-field citrus detection and localisation based on RGB-D image analysis","volume":"186","author":"Lin","year":"2019","journal-title":"Biosyst. Eng."},{"key":"10.1016\/j.compag.2022.107079_b0070","doi-asserted-by":"crossref","first-page":"105753","DOI":"10.1016\/j.compag.2020.105753","article-title":"Automatic segmentation of overlapped poplar seedling leaves combining mask R-CNN and DBSCAN","volume":"178","author":"Liu","year":"2020","journal-title":"Comput. Electron. Agric."},{"issue":"6","key":"10.1016\/j.compag.2022.107079_b0075","doi-asserted-by":"crossref","first-page":"898","DOI":"10.1002\/rob.22013","article-title":"Development and performance evaluation of a machine vision system and an integrated prototype for automated green shoot thinning in vineyards","volume":"38","author":"Majeed","year":"2021","journal-title":"J. Field Rob."},{"issue":"10","key":"10.1016\/j.compag.2022.107079_b0080","doi-asserted-by":"crossref","first-page":"e0223906","DOI":"10.1371\/journal.pone.0223906","article-title":"Deep learning based banana plant detection and counting using high-resolution red\u2013green-blue (RGB) images collected from unmanned aerial vehicle (UAV)","volume":"14","author":"Neupane","year":"2019","journal-title":"PLoS ONE"},{"key":"10.1016\/j.compag.2022.107079_b0085","doi-asserted-by":"crossref","first-page":"105247","DOI":"10.1016\/j.compag.2020.105247","article-title":"Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association","volume":"170","author":"Santos","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0090","doi-asserted-by":"crossref","first-page":"105214","DOI":"10.1016\/j.compag.2020.105214","article-title":"An attribution-based pruning method for real-time mango detection with YOLO network","volume":"169","author":"Shi","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0095","doi-asserted-by":"crossref","first-page":"106052","DOI":"10.1016\/j.compag.2021.106052","article-title":"Improved multi-classes kiwifruit detection in orchard to avoid collisions during robotic picking","volume":"182","author":"Suo","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0100","doi-asserted-by":"crossref","first-page":"105819","DOI":"10.1016\/j.compag.2020.105819","article-title":"Investigation on combinations of colour indices and threshold techniques in vegetation segmentation for volunteer potato control in sugar beet","volume":"179","author":"Suk","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0105","doi-asserted-by":"crossref","first-page":"510","DOI":"10.3389\/fpls.2020.00510","article-title":"Recognition and localization methods for vision-based fruit picking robots: a review","volume":"11","author":"Tang","year":"2020","journal-title":"Front. Plant Sci."},{"key":"10.1016\/j.compag.2022.107079_b0110","unstructured":"Jocher, G.; Stoken, A.; Borovec, J.; Nanocode012; ChristopherSTAN; Changyu, L.; Laughing; tkianai; yxNONG; Hogan, A. (2021). Ultralytics\/yolov5: v4.0-nn.SILU Activations, Weights & Biases Logging, Pytorch Hub Integration. https:\/\/doi.org\/10.5281\/zenodo.4418161."},{"key":"10.1016\/j.compag.2022.107079_b0115","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2021\/3839800","article-title":"YOLOv3-Litchi detection method of densely distributed litchi in large vision scenes","volume":"2021","author":"Wang","year":"2021","journal-title":"Mathematical Problems in Eng."},{"key":"10.1016\/j.compag.2022.107079_b0120","doi-asserted-by":"crossref","first-page":"105742","DOI":"10.1016\/j.compag.2020.105742","article-title":"Using channel pruning-based YOLO v4 deep learning algorithm for the real-time and accurate detection of apple flowers in natural environments","volume":"178","author":"Wu","year":"2020","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2022.107079_b0130","doi-asserted-by":"crossref","DOI":"10.3389\/fpls.2021.705021","article-title":"Multi-target recognition of bananas and automatic positioning for the inflorescence axis cutting point","volume":"12","author":"Wu","year":"2021","journal-title":"Front. Plant Sci."},{"issue":"9","key":"10.1016\/j.compag.2022.107079_b0135","doi-asserted-by":"crossref","first-page":"1619","DOI":"10.3390\/rs13091619","article-title":"A real-time apple targets detection method for picking robot based on improved YOLOv5","volume":"13","author":"Yan","year":"2021","journal-title":"Remote Sensing"},{"key":"10.1016\/j.compag.2022.107079_b0140","doi-asserted-by":"crossref","unstructured":"Zhang, Y. F., Ren, W., Zhang, Z., et al. (2021a). Focal and Efficient IOU Loss for Accurate Bounding Box Regression. arXiv:2101.08158.","DOI":"10.1016\/j.neucom.2022.07.042"},{"issue":"11","key":"10.1016\/j.compag.2022.107079_b0145","doi-asserted-by":"crossref","first-page":"1330","DOI":"10.1109\/34.888718","article-title":"A flexible new technique for camera calibration","volume":"22","author":"Zhang","year":"2000","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169922003969?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169922003969?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T15:17:04Z","timestamp":1688570224000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169922003969"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7]]},"references-count":28,"alternative-id":["S0168169922003969"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2022.107079","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2022,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Rachis detection and three-dimensional localization of cut off point for vision-based banana robot","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2022.107079","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2022 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107079"}}