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dc.contributor.authorGreer, K.J.
dc.contributor.authorSulewski, C.A.
dc.contributor.authorHangs, R.D.
dc.date.accessioned2018-08-30T23:37:37Z
dc.date.available2018-08-30T23:37:37Z
dc.date.issued2002-02-20
dc.identifier.urihttp://hdl.handle.net/10388/9748
dc.description.abstractFarmers looking at Precision Farming as a tool to better manage fields have found no real way to apply this technology to fertilization and crop production. The misconception between precision and optimization has lead many farmers to feel that the technology was oversold and not able to deliver more yield for less fertilizer dollars. Farmers required a tool to optimize the dollars spent on fertilizer to achieve the highest Net Return per acre. The PRS™ Forecaster is a constrained resource computer model that can forecast the yield potential and fertilizer response site by site through a field. The model was allowed to distribute $2160.00 of fertilizer N, P, and K across 54 acres in a way that optimized the whole field net return. This was compared to a control site where the same $40.00/acre was spent but on a best “average” blend of fertilizer. Field validation of this optimization proved that more net return ($19.50/acre) could be derived with reallocation of fertilizer dollars using the PRS™ Nutrient Forecaster.en_US
dc.language.isoenen_US
dc.relation.ispartofSoils and Crops Workshop
dc.rightsAttribution-NonCommercial-NoDerivs 2.5 Canada*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/ca/*
dc.subjectfertilizeren_US
dc.subjectvariable rateen_US
dc.subjectoptimizeen_US
dc.subjectyield mapen_US
dc.titleOptimized forecaster farming: a new tool to put accuracy into precision farmingen_US
dc.typePresentationen_US
dc.description.versionNon-Peer Reviewed


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Attribution-NonCommercial-NoDerivs 2.5 Canada
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 2.5 Canada