Size and Shape Analysis of Corn Plant Canopies for Plant Population and Spacing Sensing Shrestha, Dev Steward, Brian Steward, Brian
dc.contributor.department Agricultural and Biosystems Engineering 2018-02-13T03:32:13.000 2020-06-29T22:38:09Z 2020-06-29T22:38:09Z Sat Jan 01 00:00:00 UTC 2005 2012-12-03 2005-01-01
dc.description.abstract <p>An effective corn plant population and spacing sensing system may provide a key layer of field variability information useful for crop management. An algorithm was developed to count corn plants and to estimate plant location and intra-row spacing in segmented images of 6.1-m (20-ft) long row sections. Images were scanned to detect and determine the boundaries of top projected corn plant canopy objects using a chain code methodology. Plant objects were fused together based on a multi-step process that took into account the spatial structure of the crop row. Position, roundness, and area of plant canopies were used to distinguish between corn plants and weeds. Estimates of plant counts in row sections were compared with manual counts across three growth stages, three populations, and three tillage treatments. Overall, the system estimated the number of plants with an RMSE of 1.49 plants per row section, which corresponds to 6.2% RMSE or 3210 plants/ha (1300 plants/acre). No evidence of significant differences in mean plant spacing estimates was detected although significant, albeit small, increases in spacing variance were detected. These results demonstrate the importance of canopy shape and size analysis in the implementation of a machine vision plant population and intra-row spacing sensing system.</p>
dc.description.comments <p>This article is from <a href="" target="_blank"><em>Applied Engineering in Agriculture</em></a>, 21, no. 2 (2005): 295–303.</p>
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dc.identifier archive/
dc.identifier.articleid 1013
dc.identifier.contextkey 3506466
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/23
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 22:45:14 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Precision agriculture
dc.subject.keywords Machine vision
dc.subject.keywords Image processing
dc.subject.keywords Crop canopy
dc.subject.keywords Sensing system
dc.subject.keywords Freeman chain code
dc.title Size and Shape Analysis of Corn Plant Canopies for Plant Population and Spacing Sensing
dc.type article
dc.type.genre article
dspace.entity.type Publication
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