A Markov chain model for cotton yield forecasting.

Bibliographic Details
Main Author:	Silveira de Jasa, Maria I.
Other Authors:	El-Zik, Kamal M. (degree committee member.), Matis, James A. (degree committee member.), Percival, Edward (degree committee member.)
Format:	Thesis Book
Language:	English
Published:	1986.
Subjects:	Cotton > Forecasting > Mathematical models. Crop yields > Forecasting > Mathematical models. Major plant breeding. Academic theses
Online Access:	Link to ProQuest copy Link to OAKTrust copy

Description
Abstract:	Using the Markov chain theory, the cotton growth characteristics at a given period were partitioned into states; these crop states were related to yield at harvest period. The Markov chain model enables one to predict the expected distribution of cotton yields from the state of the crop at an early growth period. The predictive properties of the Markov chain model were compared with the multiple regression model, which is more commonly used for yield forecasting. In addition to yield forecasting, a Markov chain model was constructed to forecast the number of open bolls per area on the basis of the sequence in cotton fruiting from squares to open bolls.
Item Description:	Typescript (photocopy). Vita.
Physical Description:	x, 94 leaves : illustrations ; 29 cm
Bibliography:	Includes bibliographical references (leaves 81-86).