Neural predictive control of broiler chicken and pig growth

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dc.contributor.authorDemmers, Theo G. M.
dc.contributor.authorCao, Yi
dc.contributor.authorGauss, Sophie
dc.contributor.authorLowe, John C.
dc.contributor.authorParsons, David J.
dc.contributor.authorWathes, Christopher M.
dc.date.accessioned2018-08-17T13:20:26Z
dc.date.available2018-08-17T13:20:26Z
dc.date.issued2018-07-20
dc.description.abstractActive control of the growth of broiler chickens and pigs has potential benefits for farmers in terms of improved production efficiency, as well as for animal welfare in terms of improved leg health in broiler chickens. In this work, a differential recurrent neural network (DRNN) was identified from experimental data to represent animal growth using a nonlinear system identification algorithm. The DRNN model was then used as the internal model for nonlinear model predictive control (NMPC) to achieve a group of desired growth curves. The experimental results demonstrated that the DRNN model captured the underlying dynamics of the broiler and pig growth process reasonably well. The DRNN based NMPC was able to specify feed intakes in real time so that the broiler and pig weights accurately followed the desired growth curves ranging from −12% to +12% and −20% to +20% of the standard curve for broiler chickens and pigs, respectively. The overall mean relative error between the desired and achieved broiler or pig weight was 1.8% for the period from day 12 to day 51 and 10.5% for the period from week 5 to week 21, respectively.en_UK
dc.identifier.citationDemmers TGM, Cao Y, Gauss S, Lowe JC, Parsons DJ and Wathes CM., Neural predictive control of broiler chicken and pig growth. Biosystems Engineering, Volume 173, Issue September, 2018, pp. 134-142
dc.identifier.issn1537-5110
dc.identifier.urihttps://doi.org/10.1016/j.biosystemseng.2018.06.022
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/13411
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectPredictive Controlen_UK
dc.subjectBroileren_UK
dc.subjectPigen_UK
dc.subjectGrowthen_UK
dc.subjectSystem Identificationen_UK
dc.subjectNeural Network Modelsen_UK
dc.titleNeural predictive control of broiler chicken and pig growthen_UK
dc.typeArticleen_UK

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