A framework for phenotyping rubber trees under intense wind stress using laser scanning and digital twin technology

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dc.check.date2026-11-28en
dc.check.infoAccess to this article is restricted until 24 months after publication by request of the publisheren
dc.contributor.authorYun, Tingen
dc.contributor.authorEichhorn, Markus P.en
dc.contributor.authorJin, Shichaoen
dc.contributor.authorYuan, Xinyueen
dc.contributor.authorFang, Wenjieen
dc.contributor.authorLu, Xinen
dc.contributor.authorWang, Xiangjunen
dc.contributor.authorZhang, Huaiqingen
dc.contributor.funderNational Natural Science Foundation of Chinaen
dc.contributor.funderNatural Science Foundation of Jiangsu Provinceen
dc.contributor.funderChinese Academy of Forestryen
dc.contributor.funderJiangsu Provincial Agricultural Science and Technology Independent Innovation Funden
dc.date.accessioned2025-02-11T13:32:02Z
dc.date.available2025-02-11T13:32:02Z
dc.date.issued2024-11-28en
dc.description.abstractRubber trees in coastal habitats are exposed to a high degree of wind stress. An algorithm-hardware synergetic methodology was developed for investigating and predicting rubber tree phenotyping excited by strong winds. The framework includes (1) a custom-designed industrial fan that recreates a variable airflow field at wind speeds of 15, 30 and 45 m/s coupled with a terrestrial laser scanner and bundled motion sensors to acquire point clouds and vibration data; (2) a graphic model that approximates tree canopies based on foliage clumps with phenotypic traits that are derived from point clouds captured while trees are subjected to aerodynamic drag; and (3) the wind characteristic parameters of forest canopies were calculated by a developed forest-specialized k-ε turbulence model combining the constructed tree models and grid-scale subdivision of the wind fluid field. (4) A digital twin model that incorporates detailed tree phenotypic traits and considers plant mechanical characteristics was established, depicting the related wind-induced actions of target trees under various wind influences. The results show that tree crowns with spreading forms are prone to yield larger pendulum amplitudes than compact crowns, but trees directly exposed to wind exhibit greater crown volume reductions than trees in sheltered areas. Within tree canopies, a one-fold increase in inlet wind speed intensified crown compression (approximately 17 % decrease in crown volume), generated 2.1-fold pressure gradients and increased turbulence kinetic energy by approximately 60 %. Moreover, the entire scenario of the adaptation of experimental trees to wind perturbations was visually restored using digital twin techniques, serving as an integral behaviour dataset for further data-driven decision-making. In summary, this paper presents a comprehensive methodology that can decipher the phenotypic manifestations of trees' reactions to wind hazards, with potential applications in phenotyping or envirotyping studies designed to evaluate the wind resistance properties of rubber trees.en
dc.description.sponsorshipNational Natural Science Foundation of China (Grant numbers: 32371876 and 32271877); Science and Technology Innovation 2030-Major Projects (2023ZD0406103); Natural Science Foundation of Jiangsu Province (BK20221337); Chinese Academy of Forestry (CAFYBB2023PA003); Jiangsu Provincial Agricultural Science and Technology Independent Innovation Fund (Project CX(22)3048).en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid110319en
dc.identifier.citationYun, T., Eichhorn, M. P., Jin, S., Yuan, X., Fang, W., Lu, X., Wang, X. and Zhang, H. (2024) 'A framework for phenotyping rubber trees under intense wind stress using laser scanning and digital twin technology', Agricultural and Forest Meteorology, 361, 110319 (16pp). https://doi.org/10.1016/j.agrformet.2024.110319en
dc.identifier.doihttps://doi.org/10.1016/j.agrformet.2024.110319en
dc.identifier.endpage16en
dc.identifier.issn0168-1923en
dc.identifier.journaltitleAgricultural and Forest Meteorologyen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17021
dc.identifier.volume361en
dc.language.isoenen
dc.publisherElsevier Ltd.en
dc.relation.ispartofAgricultural and Forest Meteorologyen
dc.rights© 2024, Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies. This manuscript version is made available under the CC BY-NC-ND 4.0 license.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectRubber tree phenotypingen
dc.subjectWind stressen
dc.subjectAerodynamic modelen
dc.subjectComputer graphicsen
dc.subjectTerrestrial laser scanningen
dc.subjectDigital twinen
dc.titleA framework for phenotyping rubber trees under intense wind stress using laser scanning and digital twin technologyen
dc.typeArticle (peer-reviewed)en
oaire.citation.volume361en
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