A fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysis

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dc.contributor.authorTasdemir, Sakir
dc.contributor.authorUrkmez, Abdullah
dc.contributor.authorInal, Seref
dc.date.accessioned2020-03-26T18:08:13Z
dc.date.available2020-03-26T18:08:13Z
dc.date.issued2011
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractThe aim of this study was to determine the body measurement of Holstein cows through image analysis (IA) and to estimate their live weight (LW) by means of a fuzzy rule-based model using the body measurements. For this purpose, a photography environment was established at a dairy cattle farm where a large number of cows were kept. First, digital photographs of each animal were synchronously taken from different directions with Canon EOS 400D cameras. At the same time, body dimensions, namely wither height (WH), hip height (HH), body length (BL), and hip width (NW), of the cows were manually measured using a laser meter and measuring stick. The LWs of the cows were found with a weighing scale and the data were automatically saved on a computer. In the second stage, the photos were analyzed by IA software developed in the Delphi programming language and body measurements were computed. Manually measured values were very close to IA results. Finally, a fuzzy system was developed by using these body measurements. This fuzzy system was developed by using MATLAB software. Weights that were estimated with the developed knowledge-based system were compared with those found by the platform scale. The correlation coefficient was calculated (r = 0.99). There was a statistically meaningful relationship between the compared data. The developed system can be used confidently, and the system on which the experiments were performed can be modeled successfully.en_US
dc.description.sponsorshipSelcuk UniversitySelcuk University [07101006]en_US
dc.description.sponsorshipFinancial support of this study by the Research Fund of Selcuk University (Project No: 07101006) is gratefully acknowledged.en_US
dc.identifier.doi10.3906/elk-1003-449en_US
dc.identifier.endpage703en_US
dc.identifier.issn1300-0632en_US
dc.identifier.issn1303-6203en_US
dc.identifier.issue4en_US
dc.identifier.scopusqualityQ3en_US
dc.identifier.startpage689en_US
dc.identifier.urihttps://dx.doi.org/10.3906/elk-1003-449
dc.identifier.urihttps://hdl.handle.net/20.500.12395/26051
dc.identifier.volume19en_US
dc.identifier.wosWOS:000292016500013en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.publisherTUBITAK SCIENTIFIC & TECHNICAL RESEARCH COUNCIL TURKEYen_US
dc.relation.ispartofTURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCESen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectDigital image analysisen_US
dc.subjectfuzzy rule baseen_US
dc.subjectbody dimensionen_US
dc.subjectlive weighten_US
dc.titleA fuzzy rule-based system for predicting the live weight of Holstein cows whose body dimensions were determined by image analysisen_US
dc.typeArticleen_US

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