| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Computers and Electronics in Agriculture (Q1) | ||
| Dergi ISSN | 0168-1699 Dergi Bilgileri (2011) | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2011 |
| Cilt / Sayı / Sayfa | 76 / 2 / 189–197 | DOI | 10.1016/j.compag.2011.02.001 |
| Makale Linki | http://linkinghub.elsevier.com/retrieve/pii/S0168169911000366 | ||
| UAK Araştırma Alanları |
Yapay Zeka
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| Özet |
| In this study, the body measurements (BMs) of Holstein cows were determined using digital image analysis (IA) and these were used to estimate the live weight (LW) of each cow. For this purpose, an image capture arrangement was established in a dairy cattle farm. BMs including wither height (WH), hip height (HH), body length (BL), hip width (HW), plus the LWs of cows were first determined manually, by direct measurement. Then the digital photos of cows were taken from different directions synchronously and analyzed by IA software to calculate WH, HH, BL and HW of each cow. After comparing the BMs obtained by IA with the manual measurements, the accuracy was determined as 97.72% for WH, 98.00% for HH, 97.89% for BL and 95.25% for HW. The LW estimation using BMs was then performed by the aid of the regression equations, and the correlation coefficient between the estimated and real (manual … |
| Anahtar Kelimeler |
| Body measurements | Digital image analysis | Live weight | Regression |
| Atıf Sayıları | |
| Web of Science | 116 |
| Scopus | 150 |
| Google Scholar | 230 |
| Dergi Adı | COMPUTERS AND ELECTRONICS IN AGRICULTURE |
| Kısa Adı | COMPUT ELECTRON AGR |
| Yayıncı | ELSEVIER SCI LTD |
| Açık Erişim | Hayır |
| ISSN | 0168-1699 |
| E-ISSN | 1872-7107 |
| Wos Quartile | Q1 |
| Scopus Quartile | Q1 |
| Tarandığı Indeksler | SCIE , Scopus |
| WoS Kategoriler | AGRICULTURE, MULTIDISCIPLINARY | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS |
| Scopus Kategoriler | AGRONOMY AND CROP SCIENCE | ANIMAL SCIENCE AND ZOOLOGY | COMPUTER SCIENCE APPLICATIONS | FORESTRY | HORTICULTURE |