Plant Methods, ( ISI ), Volume (7), No (2), Year (2011-2) , Pages (1-11)

Title : ( Accurate inference of shoot biomass from high-throughput images of cereal plants )

Authors: Mahmood Reza Golzarian , Ross A Frick , Karthika Rajendran , Bettina Berger , Stuart Roy , Mark Tester , Desmond S Lun ,

Citation: BibTeX | EndNote

Abstract

Wheat is one of the most important crops in Australia, and the identification of young plants is an important step towards developing an automated system for monitoring crop establishment and also for differentiating crop from weeds. In this paper, a framework to differentiate early narrow-leaf wheat from two common weeds from their digital images is developed. A combination of colour, texture and shape features is used. These features are reduced to three descriptors using Principal Component Analysis. The three components provide an effective and significant means for distinguishing the three grasses. Further analysis enables threshold levels to be set for the discrimination of the plant species. The PCA model was evaluated on an independent data set of plants and the results show accuracy of 88% and 85% in the differentiation of ryegrass and brome grass from wheat, respectively. The outcomes of this study can be integrated into new knowledge in developing computer vision systems used in automated weed management.

Keywords

, Image analysis, image segmentation, principal component analysis, weed detection, plant
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@article{paperid:1039019,
author = {Golzarian, Mahmood Reza and Ross A Frick and Karthika Rajendran and Bettina Berger and Stuart Roy and Mark Tester and Desmond S Lun},
title = {Accurate inference of shoot biomass from high-throughput images of cereal plants},
journal = {Plant Methods},
year = {2011},
volume = {7},
number = {2},
month = {February},
issn = {1746-4811},
pages = {1--11},
numpages = {10},
keywords = {Image analysis; image segmentation; principal component analysis; weed detection; plant differentiation},
}

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%0 Journal Article
%T Accurate inference of shoot biomass from high-throughput images of cereal plants
%A Golzarian, Mahmood Reza
%A Ross A Frick
%A Karthika Rajendran
%A Bettina Berger
%A Stuart Roy
%A Mark Tester
%A Desmond S Lun
%J Plant Methods
%@ 1746-4811
%D 2011

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