FSPM presently offers new insights in simulating-analyzing plant architecture in relation to genetic variability or in response to experimental manipulation and then evaluating the implications of theses sources of variations on plant performance, crop production, pathogens invasion, and soil stability. The inclusion of accurate descriptions of canopy architecture and development into plant modeling has led to the development of an important field of research in plant science-functional-structural plant modeling (FSPM). Finally, detailed 3D data informs the study and simulation of spatio-temporal aspects of plant development, physiology and growth. The study of above ground plant architecture provides insights into differences in plant resource capture strategies and specific functional acclimation or adaptation to a varying environment, but also allows quantification of the aboveground biomass and in turn the carbon stored in terrestrial ecosystems. Understanding the structure and characteristics of plant canopies is crucial for developing a more thorough understanding of many facets of plant ecology.
#MESHLAB MEASURING TOOL SOFTWARE#
Improvements in camera measurement accuracy and available software are likely to further improve the utility of 3D cameras for plant sciences in the future. In addition, we also test the sensitivity of the program KinFu for continuous 3D object scanning and modeling as well as other similar software to accurately record stem diameters and capture plant form (6 mm, Asus Xtion may provide a novel method for the collection of 3D data on the branching architecture of woody plants. By scanning at a variety of distances we also quantified the effect of scanning distance. Here, we measured Salix branch segments ranging from 2–13 mm in diameter with an Asus Xtion camera to quantify the limits and accuracy of branch diameter measurement with a 3D camera.
3D cameras may provide measurements of key components of plant architecture such as stem diameters and lengths, however, few tests of 3D cameras for the measurement of plant architecture have been conducted. Recently, there has been rapid growth in the availability of low-cost, 3D cameras and related open source software applications. Detailed 3D plant architectural data have numerous applications in plant science, but many existing approaches for 3D data collection are time-consuming and/or require costly equipment.
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