乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:12:52Z","timestamp":1735585972205},"reference-count":33,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"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":[[2023,6]]},"DOI":"10.1016\/j.compag.2023.107825","type":"journal-article","created":{"date-parts":[[2023,4,13]],"date-time":"2023-04-13T23:33:52Z","timestamp":1681428832000},"page":"107825","update-policy":"http:\/\/dx.doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":20,"special_numbering":"C","title":["A method for identifying grape stems using keypoints"],"prefix":"10.1016","volume":"209","author":[{"given":"Ziwei","family":"Wu","sequence":"first","affiliation":[]},{"given":"Fang","family":"Xia","sequence":"additional","affiliation":[]},{"given":"Suyin","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Dayu","family":"Xu","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.compag.2023.107825_b0005","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1016\/j.compag.2014.04.011","article-title":"Stem localization of sweet-pepper plants using the support wire as a visual cue","volume":"105","author":"Bac","year":"2014","journal-title":"Comput. Electron. Agric."},{"doi-asserted-by":"crossref","unstructured":"Badrinarayanan, V., Handa, A., Cipolla, R., 2015. SegNet: A deep convolutional encoder-decoder architecture for robust semantic pixel-wise labelling. arXiv preprint, arXiv:1505.07293. DOI: https:\/\/doi.org\/10.1109\/TPAMI.2016.2644615.","key":"10.1016\/j.compag.2023.107825_b0010","DOI":"10.1109\/TPAMI.2016.2644615"},{"doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y., 2017. Realtime multi-person 2D pose estimation using part affinity fields. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 7291\u20137299. DOI: https:\/\/doi.org\/10.1109\/CVPR.2017.143.","key":"10.1016\/j.compag.2023.107825_b0015","DOI":"10.1109\/CVPR.2017.143"},{"doi-asserted-by":"crossref","unstructured":"Chao, P., Kao, C.-Y., Ruan, Y.-S., Huang, C.-H., Lin, Y.-L., 2019. HarDNet: A low memory traffic network. Proceedings of the IEEE\/CVF International Conference on Computer Vision, 3552\u20133561. DOI: https:\/\/doi.org\/10.1109\/ICCV.2019.00365.","key":"10.1016\/j.compag.2023.107825_b0020","DOI":"10.1109\/ICCV.2019.00365"},{"doi-asserted-by":"crossref","unstructured":"Fang, H.-S., Xie, S., Tai, Y.-W., Lu, C., 2017. RMPE: Regional multi-person pose estimation. Proceedings of the IEEE International Conference on Computer Vision, 2334\u20132343. DOI: https:\/\/doi.org\/10.1109\/ICCV.2017.256.","key":"10.1016\/j.compag.2023.107825_b0025","DOI":"10.1109\/ICCV.2017.256"},{"issue":"6","key":"10.1016\/j.compag.2023.107825_b0030","doi-asserted-by":"crossref","first-page":"7838","DOI":"10.3390\/s130607838","article-title":"Combination of RGB and multispectral imagery for discrimination of cabernet sauvignon grapevine elements","volume":"13","author":"Fern\u00e1ndez","year":"2013","journal-title":"Sensors"},{"key":"10.1016\/j.compag.2023.107825_b0035","article-title":"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks","volume":"1137\u20131149","author":"Girshick","year":"2017","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Han, K., Wang, Y., Tian, Q., Guo, J., Xu, C., Xu, C., 2020. GhostNet: More features from cheap operations. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 1580\u20131589. DOI: https:\/\/doi.org\/10.1109\/CVPR42600.2020.00165.","key":"10.1016\/j.compag.2023.107825_b0040","DOI":"10.1109\/CVPR42600.2020.00165"},{"doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S, Sun, J., 2016. Deep residual learning for image recognition. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 770\u2013778. DOI: https:\/\/doi.org\/10.1109\/CVPR.2016.90.","key":"10.1016\/j.compag.2023.107825_b0045","DOI":"10.1109\/CVPR.2016.90"},{"doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P, Girshick, R., 2017. Mask R-CNN. Proceedings of the IEEE International Conference on Computer Vision, 2961\u20132969. DOI: https:\/\/doi.org\/10.1109\/ICCV.2017.322.","key":"10.1016\/j.compag.2023.107825_b0050","DOI":"10.1109\/ICCV.2017.322"},{"doi-asserted-by":"crossref","unstructured":"Howard, A., Sandler, M., Chu, G., Chen, L.-C., Chen, B., Tan, M., Wang, W., Zhu, Y., Pang, R., Vasudevan, V., Le, Q.V., Adam, H., 2019. Searching for MobileNetV3. Proceedings of the IEEE International Conference on Computer Vision, 1314\u20131324. DOI: https:\/\/doi.org\/10.1109\/ICCV.2019.00140.","key":"10.1016\/j.compag.2023.107825_b0055","DOI":"10.1109\/ICCV.2019.00140"},{"key":"10.1016\/j.compag.2023.107825_b0060","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2021.106220","article-title":"Grape stem detection using regression convolutional neural networks","volume":"186","author":"Kalampokas","year":"2021","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2023.107825_b0065","article-title":"An improved binocular localization method for apple based on fruit detection using deep learning","author":"Li","year":"2021","journal-title":"Information Processing in Agriculture"},{"key":"10.1016\/j.compag.2023.107825_b0070","doi-asserted-by":"crossref","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."},{"doi-asserted-by":"crossref","unstructured":"Liu, S., Whitty, M. Automatic grape bunch detection in vineyards with an SVM classifier. Journal of Applied Logic, 13(4PT.3), 643\u2013653. DOI: https:\/\/doi.org\/10.1016\/j.jal.2015.06.001.","key":"10.1016\/j.compag.2023.107825_b0075","DOI":"10.1016\/j.jal.2015.06.001"},{"key":"10.1016\/j.compag.2023.107825_b0080","series-title":"SSD: Single Shot MultiBox Detector. European Conference on Computer Vision","first-page":"21","author":"Liu","year":"2016"},{"doi-asserted-by":"crossref","unstructured":"Long, J., Shelhamer, E., Darrell, T., 2015. Fully convolutional networks for semantic segmentation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 3431\u20133440. DOI: https:\/\/doi.org\/10.48550\/arXiv.1411.4038.","key":"10.1016\/j.compag.2023.107825_b0085","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"10.1016\/j.compag.2023.107825_b0090","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.biosystemseng.2016.08.026","article-title":"Vision-based extraction of spatial information in grape clusters for harvesting robots","volume":"151","author":"Luo","year":"2016","journal-title":"Biosyst. Eng."},{"key":"10.1016\/j.compag.2023.107825_b0095","doi-asserted-by":"crossref","first-page":"130","DOI":"10.1016\/j.compind.2018.03.017","article-title":"A vision methodology for harvesting robot to detect cutting points on peduncles of double overlapping grape clusters in a vineyard","volume":"99","author":"Luo","year":"2018","journal-title":"Comput. Ind."},{"issue":"9","key":"10.1016\/j.compag.2023.107825_b0100","first-page":"222","article-title":"Recognition and the optimal picking point location of grape stems based on deep learning. Transactions of the Chinese Society of","volume":"37","author":"Ning","year":"2021","journal-title":"Agri. Eng."},{"key":"10.1016\/j.compag.2023.107825_b0105","article-title":"Texture-based fruit detection via images using the smooth patterns on the fruit","volume":"5171\u20135176","author":"Pothen","year":"2016","journal-title":"IEEE International Conference on Robotics and Automation"},{"unstructured":"Redmon, J, Farhadi, A., 2018. YOLOv3: An incremental improvement. arXiv preprint, arXiv:1804.02767. DOI: https:\/\/doi.org\/10.48550\/arXiv.1804.02767.","key":"10.1016\/j.compag.2023.107825_b0110"},{"key":"10.1016\/j.compag.2023.107825_b0115","series-title":"International Conference on Advanced Concepts for Intelligent Vision Systems","first-page":"92","article-title":"A low-cost system to detect bunches of grapes in natural environment from color images","author":"Reis","year":"2011"},{"issue":"4","key":"10.1016\/j.compag.2023.107825_b0120","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1016\/j.jal.2012.07.004","article-title":"Automatic detection of bunches of grapes in natural environment from color images","volume":"10","author":"Reis","year":"2012","journal-title":"J. Appl. Log."},{"key":"10.1016\/j.compag.2023.107825_b0125","doi-asserted-by":"crossref","first-page":"136","DOI":"10.1016\/j.compag.2018.05.019","article-title":"A pattern recognition strategy for visual grape bunch detection in vineyards","volume":"151","author":"P\u00e9rez-Zavala","year":"2018","journal-title":"Comput. Electron. Agric."},{"issue":"4","key":"10.1016\/j.compag.2023.107825_b0130","doi-asserted-by":"crossref","first-page":"2955","DOI":"10.1007\/s40747-021-00522-7","article-title":"A peduncle detection method of tomato for autonomous harvesting","volume":"8","author":"Rong","year":"2022","journal-title":"Complex Intelligent Syst."},{"key":"10.1016\/j.compag.2023.107825_b0135","doi-asserted-by":"crossref","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."},{"doi-asserted-by":"crossref","unstructured":"Sun, K., Xiao, B., Liu, D., Wang, J., 2019. Deep high-resolution representation learning for human pose estimation. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 5693\u20135703. DOI: https:\/\/doi.org\/10.1109\/CVPR.2019.00584.","key":"10.1016\/j.compag.2023.107825_b0140","DOI":"10.1109\/CVPR.2019.00584"},{"key":"10.1016\/j.compag.2023.107825_b0145","series-title":"Computer Vision and Machine Learning in Agriculture","first-page":"1","article-title":"Introduction to computer vision and machine learning applications in agriculture","author":"Uddin","year":"2021"},{"issue":"02","key":"10.1016\/j.compag.2023.107825_b0150","first-page":"189","article-title":"A fast and efficient recognition method for grape picking point","volume":"42","author":"Zhang","year":"2020","journal-title":"J. Agric. Mechanization Res."},{"doi-asserted-by":"crossref","unstructured":"Zhang, R., Li, X., Zhu, L., Zhong, M., Gao, Y., 2021. Target detection of banana string and fruit stem based on YOLOv3 deep learning network. IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering, 346\u2013349. DOI: https:\/\/doi.org\/10.1109\/ICBAIE52039.2021.9389948.","key":"10.1016\/j.compag.2023.107825_b0155","DOI":"10.1109\/ICBAIE52039.2021.9389948"},{"key":"10.1016\/j.compag.2023.107825_b0160","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2022.106824","article-title":"Three-dimensional pose detection method based on keypoints detection network for tomato bunch","volume":"195","author":"Zhang","year":"2022","journal-title":"Comput. Electron. Agric."},{"unstructured":"Zhou, X., Koltun, V., Kr\u00e4henb\u00fchl, P., 2021. Probabilistic two-stage detection. arXiv preprint, arXiv:2103.07461. DOI: https:\/\/doi.org\/10.48550\/arXiv.2103.07461.","key":"10.1016\/j.compag.2023.107825_b0165"}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169923002132?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169923002132?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T12:27:56Z","timestamp":1683894476000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169923002132"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":33,"alternative-id":["S0168169923002132"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2023.107825","relation":{"is-supplemented-by":[{"id-type":"uri","id":"https:\/\/github.com\/thsant\/wgisd","asserted-by":"subject"}]},"ISSN":["0168-1699"],"issn-type":[{"type":"print","value":"0168-1699"}],"subject":[],"published":{"date-parts":[[2023,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A method for identifying grape stems using keypoints","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2023.107825","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2023 Elsevier B.V. All rights reserved.","name":"copyright","label":"Copyright"}],"article-number":"107825"}}