Automatic corn plant population measurement using machine vision

dc.contributor.author Shrestha, Dev
dc.contributor.author Steward, Brian
dc.contributor.author Steward, Brian
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-02-13T03:32:28.000
dc.date.accessioned 2020-06-29T22:37:59Z
dc.date.available 2020-06-29T22:37:59Z
dc.date.copyright Wed Jan 01 00:00:00 UTC 2003
dc.date.embargo 2012-12-03
dc.date.issued 2003-01-01
dc.description.abstract <p>A machine vision–based corn plant population sensing system was developed to measure early growth stage corn population. Video was acquired from a vehicle–mounted digital video camera at V3 to V4 stages under different daylight conditions. Algorithms were developed to sequence video frames and to segment, singulate, and count corn plants. Vegetation segmentation was accomplished using a truncated ellipsoidal decision surface. Two features were extracted from each pixel row of the segmented images: total number of plant pixels, and their median position. Adjacent rows of the same class were grouped together and iteratively refined for final plant counting. Performance of this system was evaluated by comparing its estimation of plant counts with manual stand counts in 60 experimental units of 6.1 m sections of corn rows. The number of corn plants in these experimental units ranged from 14 to 48, corresponding to a population of 30,000 to 103,000 plants /ha. In low–weed field conditions, the system plant count was well correlated to manual stand count (R2 = 0.90). Standard error of population estimate was 1.8 plants over 33.2 mean manual plant count, or 5.4% coefficient of variation.</p>
dc.description.comments <p>This article is from <em><a href="http://elibrary.asabe.org/abstract.asp?aid=12945&t=3&dabs=Y&redir=&redirType=" target="_blank">Transactions of the ASAE</a></em>, 46, no. 2 (2003): 559–565.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_pubs/21/
dc.identifier.articleid 1015
dc.identifier.contextkey 3506516
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_pubs/21
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/952
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_pubs/21/Steward_2003_AutomaticCornPlant.pdf|||Fri Jan 14 22:31:20 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Corn
dc.subject.keywords Image processing
dc.subject.keywords Machine vision
dc.subject.keywords Plant population
dc.subject.keywords Precision agriculture
dc.subject.keywords Video camera
dc.title Automatic corn plant population measurement using machine vision
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication ef71fa01-eb3e-4e29-ade7-bcb38f2968b0
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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