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Updated: Apr 24, 2026

Deep Neural Networks for Image-Based Dietary Assessment
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Deep Neural Networks for Image-Based Dietary Assessment

Published on: March 13, 2021

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使用深度学习 (YOLOv8) 和值细分与交叉验证和纵向分析从深度图像中预测奶牛牛的体重

Mingsi Liao1, Gota Morota1,2, Ye Bi1

  • 1School of Animal Sciences, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA.

Animals : an open access journal from MDPI
|March 28, 2025
PubMed
概括

使用深度学习图像分析的自动小牛体重 (BW) 预测为农民提供了一种节省劳动力的解决方案. 这项技术准确估计了BW,改善了农场管理和动物福利.

关键词:
这就是YOLOv8的意义.预测身体体重的预测进行交叉验证.牛奶牛犊牛牛奶牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛牛深度学习是一种深度学习.图像的深度图像的深度图像.纵向分析是一种纵向分析.机器学习是机器学习.

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