1. bookVolume 24 (2020): Issue 2 (June 2020)
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12 Mar 2016
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Comparison of Two Techniques of Pattern Recognition in the Image Analysis-Based Wheat Stalk Length Characterization

Published Online: 30 Jun 2020
Page range: 1 - 8
Received: 01 May 2020
Accepted: 01 Jun 2020
Journal Details
License
Format
Journal
First Published
12 Mar 2016
Publication timeframe
4 times per year
Languages
English
Copyright
© 2020 Sciendo

The chaff quality or, more specifically, the distribution of stalk length after straw shredding during wheat harvest with a combined harvester is of significant interest for ploughless tillage practices. The currently applied characterization methods (manual length measurement or the cascade sieve analysis) are time-consuming and labour-intensive. Image analysis-based size characterization has the potential to solve these problems. In this study, two techniques of digital image processing, the well-known method of image moments (rectangular model) and a sub-pixel skeletonization approach (flow lines-tracing), were applied comparatively for stalk length measurement. Upon applying the rectangular model, the analyzed stalks were found to be longer than when the flow lines-tracing algorithm was applied. This was attributed to the unbiased decision criteria of the measuring method. A greater length of the stalk is to be expected in the main stalk than when the length of a twisted or branched stalk is measured from the edge length of a rectangular box that encloses it.

Keywords

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