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Robust 3D Pig Measurement in Pig Farm

  • Kumiko Yoshida
  • Kikuhito KawasueEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11129)

Abstract

On a pig farm, the shipment of pigs of proper weight is very important for increasing profit. However, in order to reduce labor costs, many farmers ship pigs without weighing them. Therefore, an automatic sorting system that selects pigs that have reached the proper weight by measuring the weight of each pig has been developed. In the present paper, a weight estimation system using a camera for pig sorting is introduced. Three-dimensional visual information on a pig captured in a single image is used to estimate its weight. The proposed method is robust and practical for the measurement of a moving animal in a poor environment of pig farms.

Keywords

Pig measurement Computer vision Three dimensional Weight estimation Multiple slits laser Random dots 

Notes

Acknowledgement

All animal experiments were conducted in compliance with the protocol which was reviewed by the Institutional Animal Care and Use Committee and approved by the President of University of Miyazaki (Permit Number: 2017-021).

This research was supported by grants from the Project of the NARO Bio-oriented Technology Research Advancement Institution (the special scheme project on vitalizing management entities of agriculture, forestry and fisheries).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.KOYO Plant Services Co., Ltd.NobeokaJapan
  2. 2.University of MiyazakiMiyazakiJapan

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