Volume and surface area of Holstein dairy cows calculated from complete 3D shapes acquired using a high-precision scanning system: Interest for body weight estimation

Yannick Le Cozler 1 C. Allain 2 C. Xavier 1 L. Depuille 2 A. Caillot 1 J.M. Delouard 3 L. Delattre 3 T. Luginbuhl 3 P. Faverdin 4
1 PEGASE - Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes]
2 Institut de l'Elevage
3 3D Ouest
4 PEGASE - Département PEGASE [LBBE]
Abstract : Three-dimensional (3D) imaging is a solution for monitoring morphology and growth of dairy cows, but it can also estimate indicators such as body volume, surface area and body weight. A 3D full-body scanning device was used to scan 64 lactating Holstein cows from March-June 2018. The cows were individually and automatically weighed at a static weighing station (mean ± standard deviation = 673 ± 65 kg). These measured weights were compared to those predicted from regression models based on volume, area or morphological traits determined from 177 3D images. Since some images were truncated due to cow movement or technical problems, we developed additional regression models to reconstruct total volume or area. The accuracy of volume and area measurements was first tested on an inert cylindrical form (coefficients of variation (CVs) < 0.72%). The CVs for repeatability and reproducibility of the method of calculating volume and area from truncated images were 0.17% and 3.12%, respectively. Cow volume and area ranged from 0.61 to 0.96 m3 and 5.80 to 8.32 m2 respectively. Five regression models were developed to estimate cow body weight. Their coefficients of determination ranged from 0.82 to 0.93 with prediction errors of ca. 3% (20 kg) and 4% (29 kg) as a function of volume and area, respectively. The device and the method, evaluated and validated in this study, offer the possibility to use new indicators such as body volume and area in precision livestock farming.
Keywords : Volume Area Cows Sensors 3D images Weight estimation
Document type :
Journal articles
Complete list of metadatas
https://hal-agrocampus-ouest.archives-ouvertes.fr/hal-02286677
Contributor : Catherine Cliquet <>
Submitted on : Friday, September 13, 2019 - 4:01:48 PM
Last modification on : Monday, September 30, 2019 - 10:24:52 AM

Identifiers

Collections

AGROCAMPUS-OUEST | AGROCAMPUS-OUEST-UMR-PEGASE | INRA | UNAM | BIOENVIS | UNIV-LYON1 | BIOSIT | INRIA

Citation

Yannick Le Cozler, C. Allain, C. Xavier, L. Depuille, A. Caillot, et al.. Volume and surface area of Holstein dairy cows calculated from complete 3D shapes acquired using a high-precision scanning system: Interest for body weight estimation. Computers and Electronics in Agriculture, Elsevier, 2019, 165, pp.104977. ⟨10.1016/j.compag.2019.104977⟩. ⟨hal-02286677⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

31

CONTACT : Catherine Cliquet : publication@agrocampus-ouest.fr