Automated estimation of tiller number in wheat by ribbon detection

Awduron Sefydliadau
Math Erthygl
Iaith wreiddiolSaesneg
Tudalennau (o-i)637-646
Nifer y tudalennau10
CyfnodolynMachine Vision and Applications
Rhif y cyfnodolyn5
Dyddiad ar-lein cynnar01 Hyd 2015
Dangosyddion eitem ddigidol (DOIs)
StatwsCyhoeddwyd - Gorff 2016
Arddangos ystadegau lawrlwytho
Gweld graff cysylltiadau
Fformatau enwi


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 afford 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. 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.