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Conference Papers Year : 2015

Development of Early-Warning Model for Intensive Pig Breeding


Following the rapid development of intensive pig breeding in China, the impact of environmental factors on the production and health of pigs has become increasingly apparent, and the monitoring of these environmental factors recognized as critical for improved breeding productivity. Based on the effects of environmental factors on pig growth, this paper established an early-warning model of the piggery environment. Using the model and the environmental factors, which were obtained in real time from a piggery, it was possible to obtain timely warning information, conducive to both creating an appropriate breeding environment for pigs and reducing the incidence of disease. In this article, we established the environmental early-warning indicators relating to pig breeding and then demonstrated the method based on single-factor and fuzzy comprehensive multi-factor models of the piggery environment. Finally, the two models were analyzed based on the experimental results, which showed that the fuzzy comprehensive early-warning model performed better than the single-factor model, and that it could be applied in an intensive farming environment to provide timely warning of environmental deterioration, to maintain the safety of the pig-breeding environment.
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Dates and versions

hal-01420279 , version 1 (20-12-2016)





Nanxin Chen, Qingling Duan, Jianqin Wang, Ruizhi Sun. Development of Early-Warning Model for Intensive Pig Breeding. 8th International Conference on Computer and Computing Technologies in Agriculture (CCTA), Sep 2014, Beijing, China. pp.616-626, ⟨10.1007/978-3-319-19620-6_69⟩. ⟨hal-01420279⟩
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