Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review
文献类型：期刊论文
| 作者 | Wang, Xiujuan1 ; Hua, Jing1; Kang, Mengzhen1,2; Wang, Haoyu1; de Reffye, Philippe3
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| 刊名 | PLANT PHENOMICS
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| 出版日期 | 2024-02-07 |
| 卷号 | 6页码:17 |
| ISSN号 | 2643-6515 |
| DOI | 10.34133/plantphenomics.0118 |
| 通讯作者 | Kang, Mengzhen(mengzhen.kang@ia.ac.cn) |
| 英文摘要 | It is crucial to assess the impact of climate change on crop productivity and sustainability for the development of effective adaptation measures. Crop models are essential for quantifying this impact on crop yields. To better express crops' intrinsic growth and development patterns and their plasticity under different environmental conditions, the functional-structural plant model (FSPM) "GreenLab" has been developed. GreenLab is an organ-level model that can describe the intrinsic growth and development patterns of plants based on mathematical expressions without considering the influence of environmental factors, and then simulate the growth and development of plants in expressing plant plasticity under different environmental conditions. Moreover, the distinctive feature of GreenLab lies in its ability to compute model source-sink parameters affecting biomass production and allocation based on measured plant data. Over the past two decades, the GreenLab model has undergone continuous development, incorporating novel modeling methods and techniques, including the dual-scale automaton, substructure methods, the inverse of source-sink parameters, crown analysis, organic series, potential structure, and parameter optimization techniques. This paper reviews the development history, the basic concepts, main theories, characteristics, and applications of the GreenLab model. Additionally, we introduce the software tools that implement the GreenLab model. Last, we discuss the perspectives and directions for the GreenLab model's future development. |
| WOS关键词 | TREE GROWTH-MODEL ; PARAMETER OPTIMIZATION ; STOCHASTIC-MODEL ; FIELD VALIDATION ; CLIMATE-CHANGE ; WINTER-WHEAT ; CROP MODEL ; FRUIT-SET ; ARCHITECTURE ; YIELD |
| 资助项目 | Major S&T Project (Innovation 2030) of China[2021ZD0113701] ; International Partnership Program of the Chinese Academy of Sciences[159231KYSB20200010] ; National Natural Science Foundation of China[62076239] |
| WOS研究方向 | Agriculture ; Plant Sciences ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:001164602600001 |
| 出版者 | AMER ASSOC ADVANCEMENT SCIENCE |
| 资助机构 | Major S&T Project (Innovation 2030) of China ; International Partnership Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/57791]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 通讯作者 | Kang, Mengzhen |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Univ Montpellier, AMAP, CIRAD, CNRS,INRAE,IRD, F-34398 Montpellier, France |
| 推荐引用方式 GB/T 7714 | Wang, Xiujuan,Hua, Jing,Kang, Mengzhen,et al. Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review[J]. PLANT PHENOMICS,2024,6:17. |
| APA | Wang, Xiujuan,Hua, Jing,Kang, Mengzhen,Wang, Haoyu,&de Reffye, Philippe.(2024).Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review.PLANT PHENOMICS,6,17. |
| MLA | Wang, Xiujuan,et al."Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review".PLANT PHENOMICS 6(2024):17. |
入库方式： OAI收割
来源：自动化研究所
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