An Expert System for Monitoring the Daily Production Process in Aviary Systems for Laying Hens

C. Lokhorst, E.J.J. Lamaker

    Research output: Contribution to journalArticleAcademicpeer-review

    11 Citations (Scopus)

    Abstract

    An expert system (ES) for monitoring aberrations related to feed consumption, ambient temperature and disease detection was developed in order to support day-to-day management on aviary farms for laying hens. Knowledge of five experts was stored in the knowledge base, which consisted of aberration tables for standardising the knowledge representation and inference mechanism of the ES. Detection of aberrations in the production process is based on quantitative and qualitative data. According to the experts, the important quantitative data are: feed consumption, water consumption, ambient temperature, hen-day egg production, egg weight, body weight, flock-uniformity, second grade eggs, floor eggs and mortality. Data from four flocks and five standards were used for the sensitivity analysis and to validate the ES. The sensitivity analysis and the validation showed the importance of choosing a good standard and detection limit. Using farm-specific mathematical curves as standard and a practical set of detection limits, the sensitivity of the ES was 64% and the specificity was 72%. Using a set of starting detection limits, the sensitivity was 91%, but specificity then declined to 28%.
    Original languageEnglish
    Pages (from-to)215-231
    JournalComputers and Electronics in Agriculture
    Volume15
    DOIs
    Publication statusPublished - 1996

    Fingerprint

    expert systems
    aviaries
    expert system
    laying hens
    Expert systems
    Aberrations
    detection limit
    Monitoring
    monitoring
    Farms
    Sensitivity analysis
    ambient temperature
    egg
    flocks
    feed intake
    sensitivity analysis
    disease detection
    farms
    farm
    expert opinion

    Cite this

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    title = "An Expert System for Monitoring the Daily Production Process in Aviary Systems for Laying Hens",
    abstract = "An expert system (ES) for monitoring aberrations related to feed consumption, ambient temperature and disease detection was developed in order to support day-to-day management on aviary farms for laying hens. Knowledge of five experts was stored in the knowledge base, which consisted of aberration tables for standardising the knowledge representation and inference mechanism of the ES. Detection of aberrations in the production process is based on quantitative and qualitative data. According to the experts, the important quantitative data are: feed consumption, water consumption, ambient temperature, hen-day egg production, egg weight, body weight, flock-uniformity, second grade eggs, floor eggs and mortality. Data from four flocks and five standards were used for the sensitivity analysis and to validate the ES. The sensitivity analysis and the validation showed the importance of choosing a good standard and detection limit. Using farm-specific mathematical curves as standard and a practical set of detection limits, the sensitivity of the ES was 64{\%} and the specificity was 72{\%}. Using a set of starting detection limits, the sensitivity was 91{\%}, but specificity then declined to 28{\%}.",
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    An Expert System for Monitoring the Daily Production Process in Aviary Systems for Laying Hens. / Lokhorst, C.; Lamaker, E.J.J.

    In: Computers and Electronics in Agriculture, Vol. 15, 1996, p. 215-231.

    Research output: Contribution to journalArticleAcademicpeer-review

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    AU - Lokhorst, C.

    AU - Lamaker, E.J.J.

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    AB - An expert system (ES) for monitoring aberrations related to feed consumption, ambient temperature and disease detection was developed in order to support day-to-day management on aviary farms for laying hens. Knowledge of five experts was stored in the knowledge base, which consisted of aberration tables for standardising the knowledge representation and inference mechanism of the ES. Detection of aberrations in the production process is based on quantitative and qualitative data. According to the experts, the important quantitative data are: feed consumption, water consumption, ambient temperature, hen-day egg production, egg weight, body weight, flock-uniformity, second grade eggs, floor eggs and mortality. Data from four flocks and five standards were used for the sensitivity analysis and to validate the ES. The sensitivity analysis and the validation showed the importance of choosing a good standard and detection limit. Using farm-specific mathematical curves as standard and a practical set of detection limits, the sensitivity of the ES was 64% and the specificity was 72%. Using a set of starting detection limits, the sensitivity was 91%, but specificity then declined to 28%.

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