Decision Support Systems and the Economics of Seeding Rate in Crop Yield
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.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:31690. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter)
If references are entirely missing, you can add them using this form.