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.
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CITATION STYLE
Yoshida, K., & Kawasue, K. (2019). Robust 3D pig measurement in pig farm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11129 LNCS, pp. 387–400). Springer Verlag. https://doi.org/10.1007/978-3-030-11009-3_23
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