ANN approach for estimation of cow weight depending on photogrammetric body dimensions

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dc.contributor.authorTasdemir, Sakir.
dc.contributor.authorOzkan, Ilker Ali.
dc.date.accessioned2020-03-26T20:12:32Z
dc.date.available2020-03-26T20:12:32Z
dc.date.issued2019
dc.departmentSelçuk Üniversitesi, Teknoloji Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractComputer technology and software are widely used in every multi-discipline field. Geomatics engineering can be seen as a pioneer of these disciplines especially in photogrammetry and image processing. Photogrammetry is a method where geometric parameters of objects on digitally captured images are determined and make measurements on them. Capturing the digital images and photogrammetric processing include several fully defined stages, which allows to generate three-dimension or two-dimension digital models of the body as an end product. The aim of this study is to predict Holstein cows' live weight via artificial neural network whose body dimensions were determined with photogrammetry method. The body dimensions to be used in this study are obtained metric from analysis of cows' images captured by synchronized three-dimension camera environment from different aspects. Wither height, hip height, body length, hip width of cows determined with photogrammetry. Artificial neural network prediction model was developed by using these body measurements. Dataset is divided into two after preprocessing as training and testing dataset. Different structured artificial neural network models are generated and the artificial neural network model which has the best performance is determined. Then with this artificial neural network model live weight of animals is estimated by using measurements obtained from images. After comparison of estimated live weights and weights obtained from scale, correlation coefficient is found (R=0.995). The statistical analysis shows that both groups are meaningful and artificial neural network can be used in live weight prediction safely.en_US
dc.identifier.citationTasdemir, S., Ozkan, I. A. (2019). ANN Approach for Estimation of Cow Weight Depending on Photogrammetric Body Dimensions. International Journal of Engineering and Geosciences, 4(1), 36-44.
dc.identifier.doi10.26833/ijeg.427531en_US
dc.identifier.endpage44en_US
dc.identifier.issn2548-0960en_US
dc.identifier.issue1en_US
dc.identifier.pmid#YOKen_US
dc.identifier.startpage36en_US
dc.identifier.urihttps://dx.doi.org/10.26833/ijeg.427531
dc.identifier.urihttps://hdl.handle.net/20.500.12395/37480
dc.identifier.volume4en_US
dc.identifier.wosWOS:000461524800004en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorTasdemir, Sakir.
dc.institutionauthorOzkan, Ilker Ali.
dc.language.isoenen_US
dc.publisherSELCUK UNIV PRESSen_US
dc.relation.ispartofINTERNATIONAL JOURNAL OF ENGINEERING AND GEOSCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectPhotogrammetryen_US
dc.subjectImage Analysisen_US
dc.subjectArtificial Neural Networken_US
dc.subjectLive weighten_US
dc.titleANN approach for estimation of cow weight depending on photogrammetric body dimensionsen_US
dc.typeArticleen_US

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