eprintid: 12551
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/25/51
datestamp: 2023-11-10 03:27:06
lastmod: 2023-11-10 03:27:06
status_changed: 2023-11-10 01:48:58
type: article
metadata_visibility: show
creators_name: Irfan, S.A.
creators_name: Azeem, B.
creators_name: Irshad, K.
creators_name: Algarni, S.
creators_name: Kushaari, K.
creators_name: Islam, S.
creators_name: Abdelmohimen, M.A.H.
title: Machine learning model for nutrient release from biopolymers coated controlled-release fertilizer
ispublished: pub
note: cited By 7
abstract: Recent developments in the controlled-release fertilizer (CRF) have led to the new modern agriculture industry, also known as precision farming. Biopolymers as encapsulating agents for the production of controlled-release fertilizers have helped to overcome many challenging problems such as nutrients� leaching, soil degradation, soil debris, and hefty production cost. Mechanistic modeling of biopolymers coated CRF makes it challenging due to the complicated phenomenon of biodegradation. In this study, a machine learning model is developed utilizing Gaussian process regression to predict the nutrient release time from biopolymer coated CRF with the input parameters consisting of diffusion coefficient, coefficient of-variance of coating thickness, coating mass thickness, coefficient of variance of size distribution and surface hardness from biopolymer coated controlled-release fertilizer. The developed model has shown greater prediction capabilities measured with R2 equalling 1 and a Root Mean Square Error (RMSE) equalling 0.003. The developed model can be utilized to study the nutrient release profile of different biopolymers�-coated controlled-release fertilizers. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.
date: 2020
publisher: MDPI AG
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095985856&doi=10.3390%2fagriculture10110538&partnerID=40&md5=74064f191e90339f824ffd617826905d
id_number: 10.3390/agriculture10110538
full_text_status: none
publication: Agriculture (Switzerland)
volume: 10
number: 11
pagerange: 1-13
refereed: TRUE
issn: 20770472
citation:   Irfan, S.A. and Azeem, B. and Irshad, K. and Algarni, S. and Kushaari, K. and Islam, S. and Abdelmohimen, M.A.H.  (2020) Machine learning model for nutrient release from biopolymers coated controlled-release fertilizer.  Agriculture (Switzerland), 10 (11).  pp. 1-13.  ISSN 20770472