Chapter 19: Machine learning applications in precision livestock farming-Reference-Cited by-同舟云学术

Chapter 19: Machine learning applications in precision livestock farming

Published:2022-09-09 Issue: Volume: Page:351-367
ISSN:
Container-title:Practical Precision Livestock Farming
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Author:

Nääs I.A.¹²,Pereira D.F.³,Moura D.J.²

Affiliation:

1. Universidade Paulista, Graduate Course in Production Engineering, Rua Dr Bacelar 1212, São Paulo, Brazil.

2. Universidade Estadual de Campinas, College of Agricultural Engineering, Av. Cândido Rondon, 501, Campinas, SP, Brazil.

3. Department of Management, Development and Technology, School of Sciences and Engineering, São Paulo State University, Av. Domingos da Costa Lopes, 780, Tupã, SP, Brazil.

Publisher

Wageningen Academic Publishers

Link

https://www.wageningenacademic.com/doi/pdf/10.3920/978-90-8686-934-3_19

Reference199 articles.

1. Agrawal, R. and Srikant, R., 1995. Mining sequential patterns. In: Proceedings of the 11th International Conference on Data Engineering. Taipei, Taiwan, pp. 3-14. Available at: https://tinyurl.com/2p8sasbw.

2. Automated recognition of postures and drinking behaviour for the detection of compromised health in pigs

3. Real-time monitoring of broiler flock's welfare status using camera-based technology

4. Banhazi, T.M., Lehr, H., Black, J.L., Crabtree, H., Schofield, P., Tscharke, M. and Berckmans, D., 2012. Precision livestock farming: an international review of scientific and commercial aspects. International Journal of Agricultural and Biological Engineering 5(3): 1. https://doi.org/10.3965/j.ijabe.20120503.001

5. Welfare of broilers: a review

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1. Introduction to practical precision livestock farming;Practical Precision Livestock Farming;2022-09-09