Decision Support Systems and the Economics of Seeding Rate in Crop Yield

Issam A.W. Mohamed

MPRA Paper from University Library of Munich, Germany

Abstract: The present study constructs a decision support system to determine the best seeding rate out of a group of seeding rates applied in the field. The DSS has been built receives the field data as inputs, and then apply split plot algorithms of (Gomez & Gomez, 1984) to find the results. These results showed in stepwise manner and specifically similar to that of the manual processing, hence it is so easy to understand. The DSS specific is four folds seeding rates with two cultivars of the crop.

Keywords: Informatics; Decision Support System; Seeding Rate; Productivity (search for similar items in EconPapers)
JEL-codes: A1 A10 C4 C44 D2 D8 D81 D83 L15 N5 O1 (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-cmp
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https://mpra.ub.uni-muenchen.de/31690/1/MPRA_paper_31690.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/35213/1/MPRA_paper_35213.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/35251/1/MPRA_paper_35251.pdf revised version (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:31690

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