{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T21:28:23Z","timestamp":1787174903261,"version":"build-2736575974"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,11,1]],"date-time":"2026-11-01T00:00:00Z","timestamp":1793491200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2025 M772482"],"award-info":[{"award-number":["2025 M772482"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["52505296"],"award-info":[{"award-number":["52505296"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["W2412109"],"award-info":[{"award-number":["W2412109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Computers and Electronics in Agriculture"],"published-print":{"date-parts":[[2026,11]]},"DOI":"10.1016\/j.compag.2026.112226","type":"journal-article","created":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T10:54:16Z","timestamp":1785149656000},"page":"112226","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Online rice plant counting method from harvester\u2019s perspective based on HRCNet density graph model"],"prefix":"10.1016","volume":"254","author":[{"given":"Faming","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xindong","family":"Ni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ling","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbin","family":"Tian","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4193-8754","authenticated-orcid":false,"given":"Du","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"3","key":"10.1016\/j.compag.2026.112226_b0005","doi-asserted-by":"crossref","first-page":"4001","DOI":"10.32604\/cmc.2024.048208","article-title":"Deep learning based efficient crowd counting system","volume":"79","author":"Al-Ghanem","year":"2024","journal-title":"Computers, Materials & Continua."},{"issue":"1","key":"10.1016\/j.compag.2026.112226_b0010","doi-asserted-by":"crossref","first-page":"419","DOI":"10.32604\/csse.2025.064195","article-title":"Multi-stage vision transformer and knowledge graph fusion for enhanced plant disease classification","volume":"49","author":"Alwan","year":"2025","journal-title":"Comput. Syst. Sci. Eng."},{"issue":"5","key":"10.1016\/j.compag.2026.112226_b0015","doi-asserted-by":"crossref","first-page":"1586","DOI":"10.1016\/j.cj.2023.04.005","article-title":"RPNet: rice plant counting after tillering stage based on plant attention and multiple supervision network","volume":"11","author":"Bai","year":"2023","journal-title":"The Crop Journal."},{"key":"10.1016\/j.compag.2026.112226_b0020","doi-asserted-by":"crossref","first-page":"20","DOI":"10.34133\/plantphenomics.0020","article-title":"Rice plant counting, locating, and sizing method based on high-throughput UAV RGB images","volume":"5","author":"Bai","year":"2023","journal-title":"Plant Phenomics"},{"key":"10.1016\/j.compag.2026.112226_b0025","article-title":"The effectiveness of a simplified model structure for crowd counting","volume":"74","author":"Chen","year":"2024","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"10.1016\/j.compag.2026.112226_b0030","doi-asserted-by":"crossref","first-page":"64","DOI":"10.34133\/plantphenomics.0064","article-title":"Enhancing green fraction estimation in rice and wheat crops: a self-supervised deep learning semantic segmentation approach","volume":"5","author":"Gao","year":"2023","journal-title":"Plant Phenomics"},{"key":"10.1016\/j.compag.2026.112226_b0035","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110732","article-title":"ROI-aware multiscale cross-attention vision transformer for pest image identification","volume":"237","author":"Kim","year":"2025","journal-title":"Comput. Electron. Agric."},{"key":"10.1016\/j.compag.2026.112226_b0040","unstructured":"Li, W., Wang, X., Xia, X., Wu, J., Li, J., Xiao, X., Zheng, M., Wen, S., 2023. SepViT: separable vision transformer. Arxiv:2203.15380V4."},{"issue":"7","key":"10.1016\/j.compag.2026.112226_b0045","doi-asserted-by":"crossref","first-page":"1901","DOI":"10.3390\/agronomy13071901","article-title":"YOLOv5-ASFF: a multistage strawberry detection algorithm based on improved YOLOv5","volume":"13","author":"Li","year":"2023","journal-title":"Agronomy-Basel"},{"key":"10.1016\/j.compag.2026.112226_b0050","doi-asserted-by":"crossref","unstructured":"Lin, H., MA, Z., JI, R., WANG, Y., HONG, X., 2022. Boosting crowd counting via multifaceted attention. IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, New Orleans, LA, USA, pp. 19628-19637.","DOI":"10.1109\/CVPR52688.2022.01901"},{"key":"10.1016\/j.compag.2026.112226_b0055","series-title":"IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"21663","article-title":"Optimal transport minimization: crowd localization on density maps for semi-supervised counting","author":"Lin","year":"2023"},{"key":"10.1016\/j.compag.2026.112226_b0060","series-title":"IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"1676","article-title":"Point-query quadtree for crowd counting, localization, and more","author":"Liu","year":"2023"},{"issue":"2","key":"10.1016\/j.compag.2026.112226_b0065","first-page":"84","article-title":"Detection of rice density during maturity based on image processing","volume":"34","author":"Liu","year":"2009","journal-title":"Journal of Kunming University of Science and Technology."},{"key":"10.1016\/j.compag.2026.112226_b0070","doi-asserted-by":"crossref","first-page":"265","DOI":"10.34133\/plantphenomics.0265","article-title":"Phenotyping of panicle number and shape in rice breeding materials based on unmanned aerial vehicle imagery","volume":"6","author":"Lu","year":"2024","journal-title":"Plant Phenomics"},{"issue":"12","key":"10.1016\/j.compag.2026.112226_b0075","doi-asserted-by":"crossref","first-page":"5002","DOI":"10.3390\/app14125002","article-title":"Improved YOLOv8-seg based on multiscale feature fusion and deformable convolution for weed precision segmentation","volume":"14","author":"Lyu","year":"2024","journal-title":"Appl. Sci.-Basel"},{"issue":"8","key":"10.1016\/j.compag.2026.112226_b0080","first-page":"113","article-title":"Detection method on feed density for rice combine","volume":"26","author":"Pan","year":"2010","journal-title":"Transactions of the CSAE."},{"key":"10.1016\/j.compag.2026.112226_b0085","first-page":"3345","article-title":"Rethinking counting and localization in crowds: a purely point-based framework","author":"Song","year":"2021","journal-title":"IEEE"},{"issue":"10","key":"10.1016\/j.compag.2026.112226_b0090","first-page":"4060","article-title":"No-reference image blur assessment based on multi-scale spatial local features","volume":"14","author":"Sun","year":"2020","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"10.1016\/j.compag.2026.112226_b0095","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2024.109371","article-title":"Detection of rice panicle density for unmanned harvesters via RP-YOLO","volume":"226","author":"Sun","year":"2024","journal-title":"Comput. Electron. Agric."},{"issue":"7","key":"10.1016\/j.compag.2026.112226_b0100","doi-asserted-by":"crossref","first-page":"872","DOI":"10.3390\/electronics10070872","article-title":"Double-threshold segmentation of panicle and clustering adaptive density estimation for mature rice plants based on 3d point cloud","volume":"10","author":"Sun","year":"2021","journal-title":"Electronics"},{"issue":"15","key":"10.1016\/j.compag.2026.112226_b0105","doi-asserted-by":"crossref","first-page":"1682","DOI":"10.3390\/agriculture15151682","article-title":"Semi-supervised density estimation with background-augmented data for in situ seed counting","volume":"15","author":"Sung","year":"2025","journal-title":"Agriculture-Basel"},{"key":"10.1016\/j.compag.2026.112226_b0110","unstructured":"Tian, Y., Chu, X., Wang, H., 2021. CCTrans: simplifying and improving crowd counting with transformer. Arxiv:2109.14483."},{"key":"10.1016\/j.compag.2026.112226_b0115","unstructured":"Wang, B., Liu, H., Samaras, D., Hoai, M., 2020. Distribution matching for crowd counting. Arxiv:2009.13077."},{"key":"10.1016\/j.compag.2026.112226_b0120","article-title":"Weakly supervised crowd counting with joint CNN and transformer network","volume":"171","author":"Wang","year":"2026","journal-title":"Pattern Recogn."},{"key":"10.1016\/j.compag.2026.112226_b0125","doi-asserted-by":"crossref","DOI":"10.1016\/j.compag.2025.110713","article-title":"Estimation of combine harvester throughput using multisensor data fusion","volume":"237","author":"Wang","year":"2025","journal-title":"Comput. Electron. Agric."},{"issue":"5","key":"10.1016\/j.compag.2026.112226_b0130","doi-asserted-by":"crossref","first-page":"783","DOI":"10.3390\/agriculture14050783","article-title":"Research on rapeseed seedling counting based on an improved density estimation method","volume":"14","author":"Wang","year":"2024","journal-title":"Agriculture-Basel"},{"issue":"5","key":"10.1016\/j.compag.2026.112226_b0135","doi-asserted-by":"crossref","first-page":"1248","DOI":"10.3724\/SP.J.1006.2022.02065","article-title":"Estimation and evaluation of paddy rice canopy characteristics based on images from UAV and ground camera","volume":"48","author":"Wang","year":"2022","journal-title":"Acta Agron. Sin."},{"issue":"1","key":"10.1016\/j.compag.2026.112226_b0140","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1186\/s13007-023-01062-6","article-title":"Segmentation and counting of wheat spike grains based on deep learning and textural feature","volume":"19","author":"Xu","year":"2023","journal-title":"Plant Methods"},{"issue":"s1","key":"10.1016\/j.compag.2026.112226_b0145","first-page":"172","article-title":"Classification method for wheat harvester feeding density based on MobileViT model","volume":"54","author":"Yang","year":"2023","journal-title":"Transactions of the Chinese Society for Agricultural Machinery."},{"issue":"6","key":"10.1016\/j.compag.2026.112226_b0150","article-title":"A state-of-the-art review of image motion deblurring techniques in precision agriculture","volume":"9","author":"Yu","year":"2023","journal-title":"Heliyon"},{"issue":"8","key":"10.1016\/j.compag.2026.112226_b0155","doi-asserted-by":"crossref","first-page":"1251","DOI":"10.3390\/agriculture14081251","article-title":"Prediction of feed quantity for wheat combine harvester based on improved YOLOv5s and weight of single wheat plant without stubble","volume":"14","author":"Zhang","year":"2024","journal-title":"Agriculture-Basel"},{"key":"10.1016\/j.compag.2026.112226_b0160","first-page":"589","article-title":"Single-image crowd counting via multi-column convolutional neural network","author":"Zhang","year":"2016","journal-title":"IEEE"},{"issue":"3","key":"10.1016\/j.compag.2026.112226_b0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.plaphe.2025.100099","article-title":"Global rice multiclass segmentation dataset (RiceSEG): comprehensive and diverse high-resolution RGB-annotated images for the development and benchmarking of rice segmentation algorithms","volume":"7","author":"Zhou","year":"2025","journal-title":"Plant Phenomics"},{"issue":"12","key":"10.1016\/j.compag.2026.112226_b0170","first-page":"186","article-title":"Research on rice growth density detection at maturity stage based on improved DeepLabV3+","volume":"44","author":"Zhu","year":"2023","journal-title":"Journal of Chinese Agricultural Mechanization."}],"container-title":["Computers and Electronics in Agriculture"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926008227?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0168169926008227?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T20:58:35Z","timestamp":1787173115000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0168169926008227"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,11]]},"references-count":34,"alternative-id":["S0168169926008227"],"URL":"https:\/\/doi.org\/10.1016\/j.compag.2026.112226","relation":{},"ISSN":["0168-1699"],"issn-type":[{"value":"0168-1699","type":"print"}],"subject":[],"published":{"date-parts":[[2026,11]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Online rice plant counting method from harvester\u2019s perspective based on HRCNet density graph model","name":"articletitle","label":"Article Title"},{"value":"Computers and Electronics in Agriculture","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.compag.2026.112226","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"112226"}}