A Korean Cattle Weight Prediction Approach Using 3D Segmentation-Based Feature Extraction and Regression Machine Learning from Incomplete 3D Shapes Acquired from Real Farm Environments

A Korean Cattle Weight Prediction Approach Using 3D Segmentation-Based Feature Extraction and Regression Machine Learning from Incomplete 3D Shapes Acquired from Real Farm Environments

Accurate weight measurement is critical for monitoring the growth and well-being of cattle. However, the traditional weighing process, which involves physically placing cattle on scales, is labor-intensive and stressful for the animals. Therefore, the development of automated cattle weight predictio...

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Bibliographic Details
Main Authors: Chang Gwon Dang, Seung Soo Lee, Mahboob Alam, Sang Min Lee, Mi Na Park, Ha-Seung Seong, Min Ki Baek, Van Thuan Pham, Jae Gu Lee, Seungkyu Han
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Agriculture
Subjects:
3D segmentation
feature extraction
regression machine learning
weight estimation
Online Access:https://www.mdpi.com/2077-0472/13/12/2266

Internet

https://www.mdpi.com/2077-0472/13/12/2266

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