Published Date
2014,Vol.2:181–190, doi:10.1016/j.aaspro.2014.11.026
2nd International Conference on Agricultural and Food Engineering (CAFEi 2014) - New Trends Forward
Open Access, Creative Commons license
Title
Yield Prediction Modeling Using Data Envelopment Analysis Methodology for Direct Seeding, Wetland Paddy Cultivation ☆
Available online 29 November 2014.
Abstract
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 149 kg/ha to the optimum seeding rate of 128 kg/ha for higher yield and cost reduction.
Keywords
- Wetland paddy cultivation
- field energy expenditure
- yield modeling
- energy analysis
- data envelopment analysis
- Cobb-Douglas production function
- optimization
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- ☆Peer-review under responsibility of the Scientific Committee of CAFEi2014.
- ⁎ Corresponding author. Tel.: +60102939853.
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