Video Processing for Early Stage Maize Plant Detection Birrell, Stuart Shrestha, D. S. Steward, Brian Birrell, Stuart Steward, Brian
dc.contributor.department Agricultural and Biosystems Engineering
dc.contributor.department Human Computer Interaction 2019-12-05T23:13:07.000 2020-06-29T22:36:51Z 2020-06-29T22:36:51Z Thu Jan 01 00:00:00 UTC 2004 2004-10-01
dc.description.abstract <p>Algorithms were developed to process video of maize rows and extract plant features to estimate density and spacing of early growth stage maize plants. The Otsu method was modified to compensate for varied amount of plant segmentation noise presented in different operating conditions. Three features were extracted and used to differentiate between weeds and maize plants: projected plant canopy area, plant length in the image row direction, and <a href="" title="Learn more about Perpendicular Distance from ScienceDirect's AI-generated Topic Pages">perpendicular distance</a> of estimated plant centres from the mean crop row position. Algorithm performance was analysed across three <a href="" title="Learn more about Tillage from ScienceDirect's AI-generated Topic Pages">tillage</a> treatments, three growth stages, and three target populations varying from 27 000 to 81 500 plants ha−1. Overall, the algorithm estimated the number of plants in 6·1 m crop row sections with a <a href="" title="Learn more about Root-Mean-Squared Error from ScienceDirect's AI-generated Topic Pages">root mean squared error</a> of 2·1 plants or 8·7% of the mean manual count of 24·1 plants per experimental unit. The mean measurement error was significantly different across tillage treatments, but no evidence of significant differences was found across growth stages and plant populations. The error variance at the <a href="" title="Learn more about Vegetative Growth from ScienceDirect's AI-generated Topic Pages">vegetative growth</a> stages with the seventh or eight leaf collar visible was significantly higher than that at the growth stages with the third or fourth leaf collar visible. No significant differences were found between mean measured and estimated plant spacing distances.</p>
dc.description.comments <p>This is a manuscript of an article published as Shrestha, D. S., B. L. Steward, and S. J. Birrell. "Video processing for early stage maize plant detection." <em>Biosystems engineering</em> 89, no. 2 (2004): 119-129. DOI: <a href="" target="_blank">10.1016/j.biosystemseng.2004.06.007</a>. Posted with permission.</p>
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dc.identifier archive/
dc.identifier.articleid 2385
dc.identifier.contextkey 15933769
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/1098
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 18:32:08 UTC 2022
dc.source.uri 10.1016/j.biosystemseng.2004.06.007
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.title Video Processing for Early Stage Maize Plant Detection
dc.type article
dc.type.genre article
dspace.entity.type Publication
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