Yield Prediction Modeling Using Data Envelopment Analysis Methodology for Direct Seeding, Wetland Paddy Cultivation

A yield prediction model was developed using measured energy inputs data from 40 wetland paddy farms in Malaysia. Energy inputs from six sources were optimized using benchmarking and data envelopment analysis. The model developed based on Cobb-Douglas production function has coefficient of determina...

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Bibliographic Details
Published inAgriculture and agricultural science procedia Vol. 2; pp. 181 - 190
Main Authors Muazu, A., Yahya, A., Ishak, W.I.W., Khairunniza-Bejo, S.
Format Journal Article
LanguageEnglish
Published Elsevier B.V 2014
Subjects
Cobb-Douglas production function
data envelopment analysis
energy analysis
field energy expenditure
optimization
Wetland paddy cultivation
yield modeling
yield modeling
Wetland paddy cultivation
Cobb-Douglas production function
data envelopment analysis
optimization
energy analysis
field energy expenditure
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Summary:A yield prediction model was developed using measured energy inputs data from 40 wetland paddy farms in Malaysia. Energy inputs from six sources were optimized using benchmarking and data envelopment analysis. The model developed based on Cobb-Douglas production function has coefficient of determination (R2) of 91%. Analysis on the model revealed direct relationship of yield with machinery, fuel, fertilizer and pesticides energy expenditures and an inverse relationship of yield with seeding rate. Hence, suggesting the need to reduce farmers’ present seeding rate of 149kg/ha to the optimum seeding rate of 128kg/ha for higher yield and cost reduction.
ISSN:2210-7843
2210-7843
DOI:10.1016/j.aaspro.2014.11.026