Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review

doi:10.34133/plantphenomics.0118

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 平行智能技术与系统团队

	Functional-Structural Plant Model "GreenLab": A State-of-the-Art Review
	Wang, Xiujuan1 ; Hua, Jing 1; Kang, Mengzhen1,2 ; Wang, Haoyu1 ; de Reffye, Philippe 3
发表期刊	PLANT PHENOMICS
ISSN	2643-6515
	2024-02-07
卷号	6 页码:17
通讯作者	Kang, Mengzhen(mengzhen.kang@ia.ac.cn)
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.
DOI	10.34133/plantphenomics.0118
关键词[WOS]	TREE GROWTH-MODEL ; PARAMETER OPTIMIZATION ; STOCHASTIC-MODEL ; FIELD VALIDATION ; CLIMATE-CHANGE ; WINTER-WHEAT ; CROP MODEL ; FRUIT-SET ; ARCHITECTURE ; YIELD
收录类别	SCI
语种	英语
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]
项目资助者	Major S&T Project (Innovation 2030) of China ; International Partnership Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
WOS研究方向	Agriculture ; Plant Sciences ; Remote Sensing
WOS类目	Agronomy ; Plant Sciences ; Remote Sensing
WOS记录号	WOS:001164602600001
出版者	AMER ASSOC ADVANCEMENT SCIENCE
引用统计	被引频次：1[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/57792
专题	多模态人工智能系统全国重点实验室_平行智能技术与系统团队
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
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
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.