Multiple Regressions Modeling of Urea Release from Briquettes

Bhat, Ramananda M and Murthy, D V R and Saidutta, M B (2017) Multiple Regressions Modeling of Urea Release from Briquettes. In: Multiple Regressions Modeling of Urea Release from Briquettes, 02/03/2017, Bangalore.

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Abstract

Urea briquettes are extensively used in agricultural fields since loss of urea occurring is minimized. Large deviations observed in the case modeling urea release from uncoated briquettes by shrinking core and semi infinite models could be minimized by subjecting the same set of data to empirical modeling technique such as Multiple Regressions (MR). In this paper, MR model parameters were fitted for the experimental data on urea release from uncoated briquettes in three different types of soils viz loam, silty clay and silt loam. Input parameters considered are duration of release (t), moisture content (m), and clay content (C).Good fit was observed between experimental data and model predicted data for release of urea up to 70%. Clay content has higher effect on the rate of release and duration of release is weakly influencing the release

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: briquette, multiple regression model, release, soil, urea
Subjects: Engineering > MIT Manipal > Biotechnology
Depositing User: MIT Library
Date Deposited: 16 Sep 2017 08:25
Last Modified: 16 Sep 2017 08:25
URI: http://eprints.manipal.edu/id/eprint/149695

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