Le Cozler Yannick, Dumesny Maxime, Delouard Jean-Michel, Delattre Laurent, Luginbühl Thibault, Faverdin Philippe
PEGASE, INRAE, Institut Agro Rennes-Angers, 35590 Saint Gilles, France.
3D Ouest, 5 Rue de Broglie, 22300 Lannion, France.
Transl Anim Sci. 2024 Feb 9;8:txae018. doi: 10.1093/tas/txae018. eCollection 2024.
In numerous systems of animal production, there is increasing interest in the use of three-dimensional (3D)-imaging technology on farms for its ability to easily and safely measure traits of interest in living animals. With this information, it is possible to evaluate multiple morphological indicators of interest, either directly or indirectly, and follow them through time. Several tools for this purpose were developed, but one of their main weaknesses was their sensitivity to light and animal movement, which limited their potential for large-scale application on farms. To address this, a new device, called Deffilait3D and based on depth camera technology, was developed. In tests on 31 Holstein dairy cows and 13 Holstein heifers, the values generated for most measured indicators were highly repeatable and reproducible, with coefficients of variation lower than 4%. A comparison of measurements obtained from both Deffilait3D and the previous validated system, called Morpho3D, revealed a high degree of similarity for most selected traits, e.g., less than 0.2% variation for animal volume and 1.2% for chest depth, with the highest degree of difference (8%) noted for animal surface area. Previously published equations used to estimate body weight with the Morpho3D device were equally valid using Deffilait3D. This new device was able to record 3D images regardless of the movement of animals and it is affected only by direct daylight. The ongoing step is now to develop methods for automated analysis and extraction from images, which should enable the rapid development of new tools and potentially lead to the large-scale adoption of this type of device on commercial farms.
在众多动物生产系统中，人们对在农场使用三维（3D）成像技术的兴趣与日俱增，因为该技术能够轻松、安全地测量活体动物的目标性状。有了这些信息，就可以直接或间接地评估多个感兴趣的形态学指标，并随时间跟踪这些指标。为此开发了几种工具，但其主要缺点之一是对光线和动物运动敏感，这限制了它们在农场大规模应用的潜力。为了解决这个问题，开发了一种名为Deffilait3D的新设备，该设备基于深度相机技术。在对31头荷斯坦奶牛和13头荷斯坦小母牛的测试中，大多数测量指标生成的值具有高度的可重复性和再现性，变异系数低于4%。对Deffilait3D和先前经过验证的名为Morpho3D的系统所获得的测量结果进行比较，发现大多数选定性状具有高度相似性，例如动物体积的变异小于0.2%，胸深的变异为1.2%，动物表面积的差异最大（8%）。以前发表的用于使用Morpho3D设备估计体重的方程，使用Deffilait3D同样有效。这种新设备能够记录动物运动状态下的3D图像，并且仅受直射日光的影响。目前正在进行的工作是开发图像自动分析和提取方法，这应该能够快速开发新工具，并有可能促使这类设备在商业农场中得到大规模应用。
