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. 2019 Apr 11;9(2):6-15.
doi: 10.1093/af/vfz002. eCollection 2019 Apr.

Big (pig) data and the internet of the swine things: a new paradigm in the industry

Carlos Piñeiro  1 , Joaquín Morales  1 , María Rodríguez  1 , María Aparicio  1 , Edgar García Manzanilla  2 , Yuzo Koketsu  3
Affiliations

Big (pig) data and the internet of the swine things: a new paradigm in the industry

Carlos Piñeiro et al. Anim Front. .
No abstract available

Keywords: decision making; information systems; pig data; predictive analytics; swine health and production.

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Figures

Figure 1.
Figure 1.
The five steps of an information system.
Figure 2.
Figure 2.
The basic idea of a model-based monitoring system (Jensen, 2016).
Figure 3.
Figure 3.
Screenshot of control software for the PigWatch system. It shows sows already inseminated sows with one dose (blue drop), estrus evolution of the selected sow number (213) and the optimum recommendation for breeding (vertical green bar) or the preventive insemination, if not possible to inseminate at the recommended time (vertical green spotted bar). “Hands” in sows 207 and 210 shows manual recommendation of insemination since the pattern is not clear for the algorithm.
Figure 4.
Figure 4.
Feed intake patterns of lactating sows described by Koketsu et al. (1996b). (A) rapid increase in feed intake; (B) major and (C) minor drop; (D) low feed intake throughout lactation (LLL); (E) low intake during the first week then an increase in feed intake for the remainder of lactation (LHH); and (F) gradual increase.
Figure 5.
Figure 5.
Graphs of feed intake of lactating sows obtained by the electronic sow feeder system (GESTAL SOLO, JYGA Technologies). (A) Normal feed intake pattern, (B) major drop and (C) low feed intake throughout lactation. Green space shows the ideal overtime intake for that particular sow. Yellow space shows a warning since intake its reduced. Red space shows a strong deviation and therefore high risk of later reproductive impairment.
Figure 6.
Figure 6.
Scheme for working system to monitor developed in PROHEALTH project. Research based on EU-FP7/funded PROHEALTH-project (no.613574).
See this image and copyright information in PMC

References

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