唐卫东,刘振文,刘冬生,龙满生.基于形态重构的叶片性状特征可视化表达方法[J].农业机械学报,2019,50(8):249-256,212.
TANG Weidong,LIU Zhenwen,LIU Dongsheng,LONG Mansheng.Visual Expression Method of Leaf Traits Based on Morphological Reconstruction[J].Transactions of the Chinese Society for Agricultural Machinery,2019,50(8):249-256,212.
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基于形态重构的叶片性状特征可视化表达方法   [下载全文]
Visual Expression Method of Leaf Traits Based on Morphological Reconstruction   [Download Pdf][in English]
投稿时间:2019-02-18  
DOI:10.6041/j.issn.1000-1298.2019.08.027
中文关键词:  黄瓜  叶片性状  特征参数  融合  可视化表达  温室
基金项目:国家自然科学基金项目(31860574、41561065)和江西省自然科学基金项目(20161BAB204172)
作者单位
唐卫东 井冈山大学 
刘振文 井冈山大学 
刘冬生 井冈山大学 
龙满生 井冈山大学 
中文摘要:针对目前叶片性状特征在信息融合与表达过程中存在单一性及抽象性等问题,提出一种基于形态重构的叶片性状特征可视化表达方法。以温室黄瓜叶片生长为例,将有效积温、生长速率等作为特征参数,建立叶片形态发生模型,利用参数化样条曲线描述叶缘、叶脉的几何形态,采取二分法递归地分割叶缘及叶脉曲线,以实现叶片曲面的网格化细分,结合叶色纹理信息映射模型,提出叶片性状特征的可视化表达方法。实验结果表明,运用该方法得到的叶片性状特征模拟值与观测值之间的相对误差较小,其决定系数均达到0.95以上,均方根误差不大于0.236,与传统的建模方法相比,该模型具有更高的拟合度和可靠性,能够有效实现黄瓜叶片性状变化的动态仿真,可为实时掌握和预测植物生长发育状况提供依据。
TANG Weidong  LIU Zhenwen  LIU Dongsheng  LONG Mansheng
Jinggangshan University,Jinggangshan University,Jinggangshan University and Jinggangshan University
Key Words:cucumber  leaf traits  characteristic parameters  fusion  visual expression  greenhouse
Abstract:Leaf traits can provide important references for canopy light distribution, growth and development, and monitoring of external environment. Aiming at the problems of simplicity and abstraction in the process of processing and expressing leaf traits, a leaf traits fusion method based on morphological reconstruction was proposed. Taking the growth of cucumber leaves in greenhouse as an example, the effective accumulated temperature and growth rate were taken as characteristic parameters to establish the leaf morphogenesis model. The parametric spline curve was used to describe the geometric shape of leaf edge and vein. The dichotomy method was used to divide the leaf edge and vein curve recursively in order to realize the meshed subdivision of the blade surface. Combining with the leaf color texture information mapping model, a visual expression algorithm of leaf characteristics was introduced. The experimental verification results showed that the relative errors between the simulated and observed values of leaf traits obtained by this method were small, and the consistency was good, which demonstrated the method had certain feasibility and validity. Furthermore, in comparison with the typical statistical model and point cloud reconstruction model, the experimental results indicated that the square of correlation coefficients was above 0.95, and the root mean square deviation was no more than 0.236. Compared with traditional modeling methods, the proposed model had higher fitting degree and better reliability, by which it can effectively realize the dynamic simulation of cucumber leaf traits, which could provide a basis for real time grasping and forecasting of plant growth and development. This method not only provided a reference for the dynamic tracking and management of greenhouse crop production, but also laid a theoretical foundation for the further study of the role of plants under various environmental factors.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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