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An affordable stereoscopic camera array system for capturing real-time 3D responses to vegetation dense environments

经济实惠的立体相机阵列系统，用于捕捉植被茂密环境的实时 3D 响应

基本信息

批准号：
BB/N02334X/1
负责人：
Alistair McCormick
金额：
$ 19.32万
依托单位：
University of Edinburgh
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2016
资助国家：
英国
起止时间：
2016 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=BB%2FN02334X%2F1
关键词：
affordable stereoscopic camera array system

项目摘要

To feed our growing global population, the productivity of staple crops will require an increase in yields of ca. 60% by 2050. Realisation of this significant challenge is currently hampered by insufficient capacity of the plant science and Agri-Tech communities to analyse existing plant genetic resources for their interaction with the environment. Plant phenotyping is an emerging science that links genomics with plant ecophysiology and agronomy. The collection of architectural traits of a plant throughout the life cycle (the phenotype) is a result of dynamic interactions between the genetic background (the genotype) and the physical world in which the plant develops (the environment). These interactions determine plant performance and productivity measured as accumulated biomass and commercial yield, and resource use efficiency. A critical parameter of a plant's phenotype is the shape in three dimensions - the plant architecture - which reflects the adaption of a plant to environmental conditions, such as light quantity and quality, and temperature. We will bring together plant scientists, and image capture and machine vision experts to develop an affordable and user-friendly system for progressing on one of the most important issues in biology, our capacity to enhance the productivity of plants. We will combine a robust photometric stereo approach with software using optimised learning algorithms that will produce standardised outputs that can be readily integrated across scales with other biological data sets.

为了养活我们不断增长的全球人口，主要作物的生产力将需要增加约100万吨的产量。到2050年达到60%。目前，植物科学和农业技术界分析现有植物遗传资源与环境相互作用的能力不足，阻碍了这一重大挑战的实现。植物表型分析是一门将基因组学与植物生理生态学和农学联系起来的新兴科学。植物在整个生命周期中的结构特征的集合（表型）是遗传背景（基因型）和植物发育的物理世界（环境）之间动态相互作用的结果。这些相互作用决定了植物的表现和生产力，以累积的生物量和商业产量以及资源利用效率来衡量。植物表型的一个关键参数是三维形状-植物结构-它反映了植物对环境条件的适应，如光量和质量以及温度。我们将汇集植物科学家，图像采集和机器视觉专家，开发一个负担得起的和用户友好的系统，以促进生物学中最重要的问题之一，我们提高植物生产力的能力。我们将联合收割机与使用优化学习算法的软件相结合，该算法将产生标准化的输出，这些输出可以很容易地与其他生物数据集进行跨尺度整合。