MU Digital Repository
Logo

Neural network modeling of urea release from kokum wax coated briquettes

Bhat, Ramananda M and Murthy, D V R and Saidutta, M B (2014) Neural network modeling of urea release from kokum wax coated briquettes. In: International Conference on Advances in Chemical Engineering and Technology, 16-18, October 2014, Kollam, Kerala.

[img] PDF
ICACE2014 paper.pdf - Published Version
Restricted to Registered users only

Download (896kB) | Request a copy

Abstract

Urea briquettes are extensively used in agricultural fields so as to minimize loss of urea occurring by different mechanisms. However, the briquettes dissolve in about 8-10 hours, leaving a region of high concentration of urea around the shrinking briquette. Encapsulating the briquettes by coatings such as kokum wax can assist in slowing down the dissolution of the briquette in agricultural fields. Objective of the present work is to model empirically using Multiple Regressions (MR) and Artificial Neural Networks (ANN) for the data of urea release from the kokum wax coated briquettes. Urea release experimental data for three different and diverse soils viz. loam, silt loam and silty clay soils and at different soil moisture contents were utilized for the empirical modeling. Output for both the models is the data on fraction of unreleased urea. Input parameters considered for the models were release time (duration), pH and the soil moisture contents. Moisture content was found to have higher influence on the output for the MR model than release time (duration) and soil pH. In the case of ANN model, 40% of the data were utilized for training the network. Best fit was observed with one hidden layer containing five neurons, and tansig transfer function. Better congruence between the experimental data and ANN model output (RMSE of 10.15%) was observed than between the experimental data with MR mode (RMSE of 39.32%).

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: briquette; coating; regressions; paraffin; model; soil; urea; neural network
Subjects: Engineering > MIT Manipal > Biotechnology
Depositing User: MIT Library
Date Deposited: 22 May 2015 09:12
Last Modified: 22 May 2015 09:12
URI: http://eprints.manipal.edu/id/eprint/142704

Actions (login required)

View Item View Item