University of Khartoum

The Influence of Seeding rates on Crop Yield in a DSS Framework: Application to two Alfalfa Cultivars in Sudan

The Influence of Seeding rates on Crop Yield in a DSS Framework: Application to two Alfalfa Cultivars in Sudan

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dc.contributor.author Siddig, Khalid H. A.
dc.contributor.author Yahia, Moawia Elfaki
dc.contributor.other Department of Computer Science en_US
dc.date 2010
dc.date.accessioned 2015-12-15T06:56:40Z
dc.date.available 2015-12-15T06:56:40Z
dc.date.issued 2015-12-15
dc.date.submitted 2015
dc.identifier.uri http://khartoumspace.uofk.edu/handle/123456789/17635
dc.description.abstract This paper presents a decision support system to support agronomists, stand on their ideas and helps them to determine the best level of seeding rate based on the data collected from their field’s experiment. This study employs the split-plot algorithm of Gomez & Gomez (1984) under the framework of a decision support system (DSS). The DSS that automated the Split plot procedure, based on which the best seeding rate out of several rates of the agronomist’s experiment is discussed in this paper. The DSS was also able to incorporate several cultivars in addition to the different seeding rates. en_US
dc.language.iso en en_US
dc.publisher University of Khartoum en_US
dc.subject agricultural information systems en_US
dc.subject decision support systems en_US
dc.subject split-plot procedure en_US
dc.title The Influence of Seeding rates on Crop Yield in a DSS Framework: Application to two Alfalfa Cultivars in Sudan en_US
dc.type Publication en_US
dc.Faculty Mathematical Sciences en_US

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