Aurora: Mobile application for analysis of spatial variability of thermal comfort indexes of animals and people, using IDW interpolation

•Analysis of thermal comfort of animals and people through data interpolation.•Algorithm for calculating the Inverse Distance Weighted interpolator – IDW.•Creation of interpolation maps of thermal comfort indices on site.•Data interpolation maps in Graphics Interchange Format – GIF. This application...

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Vydáno v:Computers and electronics in agriculture Ročník 157; s. 98 - 101
Hlavní autoři: Oliveira Júnior, Arilson José de, Souza, Silvia Regina Lucas de, Dal Pai, Enzo, Rodrigues, Bruno Timóteo, Souza, Valter Cesar de
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 01.02.2019
Elsevier BV
Témata:
Algorithms
Android
animal production
animals
Applications programs
computer software
equations
IDW
Interpolation
Interpolation of data
Meteorological parameters
Mobile computing
mobile telephones
Object oriented programming
Object-oriented languages
Programming languages
sheds
Smartphones
Thermal comfort
Smartphones
Interpolation of data
Thermal comfort
IDW
Android
ISSN:0168-1699, 1872-7107
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Popis
Shrnutí:•Analysis of thermal comfort of animals and people through data interpolation.•Algorithm for calculating the Inverse Distance Weighted interpolator – IDW.•Creation of interpolation maps of thermal comfort indices on site.•Data interpolation maps in Graphics Interchange Format – GIF. This application note introduces an app for Android smartphones to create maps of the spatial variability of thermal comfort indexes and meteorological parameters. The application was developed through the Java object-oriented programming language, using the integrated Android Studio development environment. The interpolator method employed was the Inverse Distance Weighted (IDW), adopting p = 2. The validations demonstrated that the algorithm is in accordance with the IDW interpolator equation and presented results showed that the maps created by the application can be useful in obtaining diagnoses of the thermal conditions of environments, especially in animal production sheds.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0168-1699
1872-7107
DOI:10.1016/j.compag.2018.12.029