作物生长过程模拟模型与形态三维可视化关键技术研究

doi:10.12133/j.smartag.2019.1.1.201901-SA005

摘要/Abstract

摘要：

针对作物产量形成、品种适应性分析的数字化解析和可视化表达需求,以提高作物模拟模型的时效性、协同性和真实感为目标,结合物联网技术与作物模拟模型,进行了田间数据实时采集;应用多智能体技术进行了作物协同模拟方法研究与框架设计;开展了作物生长过程模拟模型及基于作物模型的形态三维可视化关键技术研究,以小麦作物为例,进行了田间试验,阐述了小麦三维形态模拟可视化系统的设计实现并进行了试验验证;构建了Logistic方程模拟小麦叶长、最大叶宽、叶片高度、株高等的生长变化,采用基于曲线、曲面的参数化建模方法和3D图形库OpenGL构造了小麦器官几何模型。结果表明小麦叶长、最大叶宽、叶片高度和株高模拟模型R ²值在0.772~0.999之间,回归方程的F值在10.153~4359.236之间,且Sig.小于显著水平0.05,模型显著性较好,模型的拟合度较高。本研究将作物模拟模型结果和形态结构模型有效结合,实现了以小麦为代表的作物在不同管理措施条件下的生长过程形态三维可视化表达,为作物生产数字化系统应用提供了更有效的途径,该技术体系与方法同样适用于玉米、水稻等作物。

关键词: 作物模拟模型, 生长过程数字化, 形态可视化, Agent技术, 三维

Abstract:

According to the demand of digitized analysis and visualization representation of crop yield formation and variety adaptability analysis, aiming at improving the timeliness, coordination and sense of reality of crop simulation model, key technologies of crop growth process simulation model and morphological 3D visualization were studied in this research. The internet of things technology was applied to collect the field data. The multi-agent technology was used to study the co-simulation method and design crop model framework. Winter wheat (Triticum aestivum L.) was taken as an example to conducted filed test, the 3D morphology visualization system was developed and validated. Taking three wheat varieties, Hengguan35 (Hg35), Jimai22 (Jm22) and Heng4399 (H4399) as research objects, logistic equation was constructed to simulate the change of leaf length, maximum leaf width, leaf height and plant height. Parametric modeling method and 3D graphics library (OpenGL) were used to build wheat organ geometry model so as to draw wheat morphological structure model. The R2 values of leaf length, maximum leaf width, leaf height and plant height were between 0.772-0.999, indicating that the model has high fitting degree. F values (between 10.153-4359.236) of regression equation and Sig. values (under 0.05) show that the model has good significance. Taking wheat as example, this research combined wheat growth model and structure model effectively in order to realize the 3D morphology visualization of crop growth processes under different conditions, it will provide references for developing the crop simulation visualization system, the method and related technologies are suitable for other field crops such as corn and rice, etc.

Key words: crop simulation model, growth process visualization, morphology visualization, agent, technology 3D

中图分类号:

诸叶平, 李世娟, 李书钦. 作物生长过程模拟模型与形态三维可视化关键技术研究[J]. 智慧农业, 2019, 1(1): 53-66.

Zhu Yeping, Li Shijuan, Li Shuqin. Research on key technologies of crop growth process simulation model and morphological 3D visualization[J]. Smart Agriculture, 2019, 1(1): 53-66.

参考文献

[1]	Jones J W, Hoogenboom G, Porter C H , et al. The DSSAT cropping system model[J]. European Journal of Agronomy, 2003,18(3-4):235-265.
[2]	Holzworth D P, Devoil P G, Devoil P G , et al. APSIM - Evolution towards a new generation of agricultural systems simulation[J]. Environmental Modelling & Software, 2014,62(C):327-350.
[3]	Hoof C V D, Hanert E, Vidale P L . Simulating dynamic crop growth with an adapted land surface model - JULES-SUCROS: model development and validation[J]. Agricultural & Forest Meteorology, 2011,151(2):137-153.
[4]	曹宏鑫, 张春雷, 金之庆 , 等. 数学化栽培的框架与技术体系探讨[J]. 耕作与栽培, 2005, (03):4-7.
[4]	Cao H, Zhang C, Jin Z , et al. Discussion on the framework and technical system of mathematical cultivation[J]. Gengzuo Yu Zaipei, 2005, (03):4-7.
[5]	曹卫星, 朱艳, 田永超等. 作物精确栽培技术的构建与实现[J]. 中国农业科学, 2011 (19):3955-3969.
[5]	Cao W, Zhu Y, Tian Y , et al. Development and implementation of crop precision cultivation technology[J]. Scientia Agricultura Sinica, 2011 (19):3955-3969.
[6]	高亮之, 金之庆 . RCSODS—水稻栽培计算机模拟优化决策系统[J], 农业网络信息, 1993, (3):14-20.
[6]	Gao L, Jin Q . RCSODS - Rice cultivation computer simulation optimization decision system[J], Agriculture Network Information, 1993, (3):14-20.
[7]	潘学标, 韩湘玲, 石元春 . COTGROW: 棉花生长发育模拟模型[J]. 棉花学报, 1996,8(4):180-188.
[7]	Pan X, Han X, Shi Y . COTGROW: Cotton growth and development simulation model[J]. Acta Gossypii Sinica, 1996,8(4):180-188.
[8]	冯利平, 韩学信 . 棉花栽培计算机模拟决策系统(COTSYS)[J]. 棉花学报, 1999, (5):251-254.
[8]	Feng L, Han X . COTSYS-Cotton cultivational simulation and decision-making system[J]. Acta Gossypii Sinica, 1999, (5):251-254.
[9]	孙忠富, 陈人杰 . 温室番茄生长发育动态模型与计算机模拟系统初探[J]. 中国生态农业学报, 2003,11(2):84-88.
[9]	Sun Z, Chen R . A preliminary study on dynamic model and computer simulation system of greenhouse tomato growth[J]. Chinese Journal of Eco-Agriculture, 2003,11(2):84-88.
[10]	诸叶平, 李世娟, 孙开梦 , 等. 作物生产信息数字化研究[C]// 中国数字农业与农村信息化学术研究研讨会论文集, 中国北京. 2005: 19-24.
[11]	赵春江, 诸德辉, 李鸿祥等. 小麦栽培管理计算机专家系统的研究与应用[J]. 中国农业科学, 1997,30(5):42-49.
[11]	Zhao C, Zhu D, Li H , et al. Study on intelligent expert system of wheat cultivation management and its application[J]. Scientia Agricultura Sinica, 1997,30(5):42-49.
[12]	曹卫星, 潘洁, 朱艳 , 等. 基于生长模型与Web应用的小麦管理决策支持系统[J]. 农业工程学报, 2007,23(1):133-138.
[12]	Cao W, Pan J, Zhu Y , et al. Growth model and web application based decision support system for wheat management[J]. Transactions of the Chinese Society of Agricultural Engineering, 2007,23(1):133-138.
[13]	曹宏鑫, 金之庆, 石春林 , 等. 基于Web与模拟模型的水稻栽培数字化设计[J]. 农业工程学报, 2008,24(12):137-140.
[13]	Cao H, Jin Z, Shi C , et al. Digital design of rice cultivation based on Web and simulation model[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008,24(12):137-140.
[14]	Rauff J V. Multi-agent systems: an introduction to distributed artificial intelligence[M]. Addison-Wesley Longman Publishing Co. Inc. 1999.
[15]	Badjonski M, Ivanovic M . A multi-agent system for the determination of optimal hybrids in crop production[J]. Computers and Electronics in Agriculture, 2000,25(3):233-243.
[16]	Bentham M J . A multi-agent crop production decision support system for technology transfer[J]. Dissertation Abstracts International, 2000: 62-11, Section: B, 5299.
[17]	Berger T . Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis[J]. Agricultural Economics, 2001,25(2-3):245-260.
[18]	Zhu Y, Zhang J, Li S , et al. Agriculture and forestry economy decision support system based on agent[J]. New Zealand Journal of Agricultural Research, 2007,50(5):1339-1346.
[19]	王纪章 . 基于物联网的温室环境智能管理系统研究[D]. 镇江: 江苏大学, 2013.
[19]	Wang J . Study on intelligent management system for greenhouse climate based on internet of things[D]. Zhen jiang: Jiangsu University, 2013.
[20]	Dauzat J, Clouvel P, Luquet D , et al. Using virtual plants to analyse the light-foraging efficiency of a low-density cotton crop[J]. Annals of Botany, 2008,101(8):1153-1166.
[21]	Hanan J S, Hearn A B . Linking physiological and architectural models of cotton[J]. Agricultural System, 2003,75(1):47-77.
[22]	Hanan J . Virtual plants-integrating architectural and physiological models[J]. Environmental Modeling & Software, 1997,12(1):35-42.
[23]	Fournier C, Andrieu B . A 3D architectural and process-based model of maize development[J]. Annals of Botany(London), 1998,81(2):233-250.
[24]	Buck-Sorlin G . L-system model of the vegetative growth of winter barley (Hordeum vulgare L.)[J]. Agronomie, 2002,22:691-702.
[25]	Watanabe T, Hanan J S, Room P M . Virtual Rice: I. Measurement and specification of three-dimensional structure[J]. The Crop Science Society of Japan, 1999(Ext.issue 2), 68:68-69.
[26]	Watanabe T, Room P M, Hanan J S . Virtual Rice: simulating the development of plant architecture[J]. International Rice Research Notes, 2001,26(2):60-62.
[27]	Watanabe T, Hanan J S, Room P M . Virtual Rice: II. Simulation of architecture and development by using L-system[J]. The Crop Science Society of Japan, 1999,68:70-71.
[28]	Watanabe T, Hanan J S, Room P M , et al. Rice Morphogenesis and plant architecture: measurement, specification and the Reconstruction of structural development by 3D Architectural Modelling[J]. Annals of Botany, 2005,95:1131-1143.
[29]	Prusinkiewicz P W, Remphrey W R, Davidson C G , et al. Modeling the architecture of expanding Fraxinus pennsylvanica shoots using L-systems[J]. Canadian Journal of Botany = Journal Canadien de Botanique (Canada), 1994,72(5):701-714.
[30]	Fisher J B . Part 2: The Katherine Esau International Symposium \|\| How predictive are computer simulations of tree architecture?[J]. International Journal of Plant Sciences, 1992,153(3):S137-S146.
[31]	Barczi J F, Rey H, Caraglio Y , et al. AmapSim: a structural whole-plant simulator based on botanical knowledge and designed to host external functional models[J]. Annals of Botany, 2007,101(8):1125-1138.
[32]	de Reffye P, Fourcaud T, Blaise F , et al. A functional model of tree growth and tree architecture[J]. Silva Fennica, 31(3):297-311.
[33]	Godin C, Guédon Y, Costes E , et al. Measuring and analyzing plants with the AMAPmod software[C]. Michalewicz, M.T. Plants to ecosystems - Advances in Computational Life Sciences, 2nd International Symposium on Computer Challenges in Life Science, CSIRO Australia, 1997, 53-84.
[34]	Seleznyova A N, Thorp T G, White M , et al. Application of architectural analysis and AMAPmod methodology to study dwarfing phenomenon: the branch structure of “Royal Gala” apple grafted on dwarfing and non-dwarfing rootstock/interstock combinations[J]. Annals of Botany, 2003,91(6):665-672.
[35]	诸叶平 . 小麦模拟实验系统的可视化界面技术[J]. 农业网络信息, 1995, (4):6-8.
[35]	Zhu Y . Visual interface technology of wheat simulation experiment system[J]. Agriculture Network Information, 1995, (4):6-8.
[36]	严定春, 诸叶平, 李世娟 . 小麦—玉米连作协同模型系统研究[J]. 农业网络信息, 2007(9):21-23.
[36]	Yan D, Zhu Y, Li S . Coordination model system for wheat-maize continual cropping management[J]. Agriculture Network Information, 2007(9):21-23.
[37]	刘升平, 诸叶平 . 基于Agent技术的小麦生长模拟模型的建立[J]. 安徽农业科学, 2007,35(20):6026-6028.
[37]	Liu S, Zhu Y . Establishment of wheat simulation model based on Agent technology[J]. Journal of Agricuturd Sciences. 2007,35(20):6026-6028.
[38]	Zhu Y, Liu S . Technology of agent-based crop collaborative simulation and management decision[C]// International Conference on Data Mining & Intelligent Information Technology Applications. IEEE, 2011,11:349-353.
[39]	林玉彬 . 基于全局敏感度分析的GreenLab模型参数估计研究[D]. 北京: 中国科学院大学, 2012.
[39]	Lin Y . Research on parameter estimation of GreenLab model based on global sensitivity analysis[D]. Beijing: University of Chinese Academy of Sciences, 2012.
[40]	常丽英, 顾东祥, 张文宇 , 等. 水稻叶片伸长过程的模拟模型[J]. 作物学报, 2008,34(2):311-317.
[40]	Chang L, Gu D, Zhang W , et al. A simulation model of leaf elongation process in rice[J]. Acta Agronomica Sinica, 2008,34(2):311-317.
[41]	刘慧, 汤亮, 张文宇 , 等. 基于模型的可视化水稻生长系统的构建与实现[J]. 农业工程学报, 2009,25(9):148-154.
[41]	Liu H, Tang L, Zhang W , et al. Construction and implementation of model-based visual rice growth system[J]. Transactions of the Chinese Society of Agricultural Engineering, 2009,25(9):148-154.