Automated estimation of tiller number in wheat by ribbon detection
Automated estimation of tiller number in wheat by ribbon detection
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DOI：
10.1007/s00138-015-0719-5
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发表时间：
2016-07-01
影响因子：
3.3
通讯作者：
Doonan, J. H.
中科院分区：
文献类型：
--
作者：
Boyle, R. D.;Corke, F. M. K.;Doonan, J. H.
高通量表型分析装置的出现标志着植物生物学需要使用模式分析和识别技术，特别是当通过数字图像进行分析时。这种装置也为计算机视觉提供了机会。我们描述了一个这样的应用程序在英国国家植物表型组学中心，在历史上的测量已经在劳动密集型的手动方式。我们开发了一个估计分蘖数在小麦生长，利用每天平均，时间插值和动态规划时，提供测量细颗粒和不低于手动精度，并提供了迄今难以或不可能获得的植物治疗的意见。所开发的方法适合于重复使用任何类似的成像设置，以及具有类似于小麦的分蘖特征的植物。我们认为这项工作是生物学家和计算机科学家在此类装置中合作的一个有用范例。
The advent of high-throughput phenotyping installations signals a need for plant biology to use pattern analysis and recognition techniques, especially when analysis is done via digital images. Such installations also provide an opportunity to computer vision. We describe one such application at the UK National Plant Phenomics Centre, in which historically measurements have been made in a labour-intensive manual manner. We develop an estimator of tiller number in growing wheat which, when exploiting per-day averaging, temporal interpolation and dynamic programming, delivers measurements of finer-grain and no less accuracy than manually, and provides observations on plant treatments hitherto difficult or impossible to obtain. The approach developed lends itself to reuse for any similar imaging setup, and plants with tillering characteristics similar to wheat. We consider the work a useful exemplar for co-operation between biologists and computer scientists in such installations.