Journal article
A digital image analysis method for assessment of lentil size traits
LS Lemasurier, JF Panozzo, CK Walker
Journal of Food Engineering | ELSEVIER SCI LTD | Published : 2014
Abstract
Image analysis offers a rapid and non-destructive method for a wide range of agricultural applications including grading of grains. In this study, a method was developed for seed size grading by analysis of three-dimensional digital image information on single lentil kernels. Predicted length, single-seed mass, bulk-sample mass and Seed Size Index (SSI) were all highly correlated with the physically measured values giving Lin's concordance test statistics of 0.98, 0.97, >0.99 and >0.99 respectively. Sieves were found to have a 10% misclassification rate and Seed Size Distribution was predicted within error of the sieving method. Results also indicated that image analysis can give much more d..
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Funding Acknowledgements
The authors gratefully acknowledge the Grains Research and Development Corporation (GRDC) and the Victorian Department of Environment and Primary Industries (DEPI) for funding this research and the DEPI Pulse Breeding and Pulse Agronomy groups for providing all lentil samples. The authors also thank Slavica Laskovska for providing technical assistance and Nathan Neumann for helpful discussions on current pulse quality assessment methods.