Using Yield Monitors to Assess On-Farm Test Plots Taylor, Randal Fulton, John Darr, Matthew Darr, Matthew Haag, Lucas Staggenborg, Scott Mullenix, Daniel McNaull, Robert
dc.contributor.department Agricultural and Biosystems Engineering 2018-02-13T07:39:10.000 2020-06-29T22:33:10Z 2020-06-29T22:33:10Z Sat Jan 01 00:00:00 UTC 2011 2013-03-23 2011-08-01
dc.description.abstract <p>Farmer test plots have become a staple for production agriculture. These plots can range from simple side-by-side demonstration plots to a replicated research study. The rush of harvest often creates a challenge for harvesting these plots. Yield monitor data were collected from field scale plots in multiple states to assess ability to measure on-farm research. Grain mass was also measured for each plot with a weigh wagon or certified scale. The variability of yield monitor error (standard deviation) was not correlated with the magnitude of the error (mean). Thus calibration in and of itself will likely not result in more consistent yield monitor error. Determining if treatments or observations from non-replicated studies are different will be challenging. Depending on the chosen probability level, this data indicate that distinguishing a 3 to 9 percent difference was possible. Statistical analysis of replicated trials results in similar conclusions with reference and yield monitor data. Mass flow rate is one factor impacting yield monitor error.</p>
dc.description.comments <p>This is an ASABE Meeting Presentation, Paper No. <a href="" target="_blank">1110690</a>.</p>
dc.identifier archive/
dc.identifier.articleid 1298
dc.identifier.contextkey 3948399
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/290
dc.language.iso en
dc.source.bitstream archive/|||Fri Jan 14 23:13:59 UTC 2022
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.keywords Weigh wagon
dc.subject.keywords replication
dc.subject.keywords on-farm research
dc.title Using Yield Monitors to Assess On-Farm Test Plots
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication 25d24836-9259-4619-a6e1-971f2049e041
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
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