Animal weight prediction based on point cloud reconstruction technology combined with SVR

Lijuan Qin; Xinyu He

doi:10.1117/12.2675200

25 May 2023 Animal weight prediction based on point cloud reconstruction technology combined with SVR

Lijuan Qin, Xinyu He

Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 126361I (2023) https://doi.org/10.1117/12.2675200
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China

Abstract

In the new era of China, with the improvement of people's level day by day, people's awareness of animal protection is gradually enhanced. However, the lack of operator experience of the breeder will cause the stress response of the animals, which will lead to the physical injury of the breeder. Therefore, contactless measurements of animals will be realized in this paper. PCL point cloud plays the same important role in 3D information processing as OpenCV 2D information processing. PCL point cloud can be combined with machine learning method to solve practical application problems. In this paper, pig is taken as the research object, and the 3D reconstruction of pig point cloud is carried out through the reconstruction algorithm in PCL point cloud. Then, this paper uses the point cloud convex hull algorithm and getsurfaceArea() function to obtain the volume and surface area of the pig respectively. Finally, the point cloud reconstruction technology combined with SVR algorithm to predict the weight of pigs can control the weight prediction rate of pigs within 5%.

Citation Download Citation

Lijuan Qin and Xinyu He "Animal weight prediction based on point cloud reconstruction technology combined with SVR", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 126361I (25 May 2023); https://doi.org/10.1117/12.2675200

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available