文献类型：期刊文献

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

作者：Yun, Ting[1,2] Eichhorn, Markus P.[3] Jin, Shichao[4] Yuan, Xinyue[2] Fang, Wenjie[2] Lu, Xin[2] Wang, Xiangjun[5] Zhang, Huaiqing[6]

第一作者：Yun, Ting

通信作者：Wang, XJ[1];Zhang, HQ[2]

机构：[1]Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China;[2]Nanjing Forestry Univ, Coll Informat Sci & Technol, Nanjing 210037, Peoples R China;[3]Univ Coll Cork, Sch Biol Earth & Environm Sci, Distillery Fields, North Mall, Cork T23 N73K, Ireland;[4]Nanjing Agr Univ, Acad Adv Interdisciplinary Studies, Plant Phen Res Ctr, Nanjing 210095, Peoples R China;[5]Chinese Acad Trop Agr Sci, Rubber Res Inst, Minist Agr, Danzhou Invest & Expt Stn Trop Crops, Danzhou, Peoples R China;[6]Chinese Acad Forestry, Res Inst Resource Informat Tech, Beijing 100091, Peoples R China

年份：2025

卷号：361

外文期刊名：AGRICULTURAL AND FOREST METEOROLOGY

收录：;Scopus(收录号：2-s2.0-85210314098);WOS:【SCI-EXPANDED(收录号:WOS:001370512300001)】；

基金：This research was financially supported by the National Natural Science Foundation of China (grant numbers 32371876 and 32271877) , Science and Technology Innovation 2030-Major Projects (2023ZD0406103) , the Natural Science Foundation of Jiangsu Province (BK20221337) , Fundamental Research Funds of CAF (CAFYBB2023PA003) and the Jiangsu Provincial Agricultural Science and Technology Independent Innovation Fund Project (CX (22) 3048) . We express our gratitude to Professor Qiaodong Bai from the State Key Laboratory of Transient Physics at Nanjing University of Science and Technology, for his theoretical assistance and technical guidance. Meanwhile, we are grateful to Professor Lin Cao from Nanjing Forestry University for his valuable advice concerning forest phenotyping.

语种：英文

外文关键词：Rubber tree phenotyping; Wind stress; Aerodynamic model; Computer graphics; Terrestrial laser scanning; Digital twin

摘要：Rubber 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-epsilon 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.