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|Type:||Artigo de evento|
|Title:||Applied Intelligent System For Environmental Control In Dairy Housing|
|Abstract:||Some studies show that animal performance is influenced by the thermal environment and that the intensity of thermal stress is linked with the region that the animals are lodged, questioning the limits of the temperature and humidity index (TH1). The objective of this study was to model and evaluate the impact of thermal stress using data mining of meteorological data (air temperature and relative humidity) and physiological data (rectal temperature and respiratory rate) and, thus, to determine the critical intervals of the THI. The database was built with meteorological and physiological data from a dairy farm located in Sao Pedro - Sao Paolo state, Brazil. For the data mining process, the computational program Weka (version 3-4) was used to build a decision tree, using the J48 algorithm. According to the results, it is possible to adapt the TH1 as a function of the region and the animals using data mining of meteorological and physiological data. The analysis of the database indicated a high capacity of the model in representing the classes of comfort from this data set. It was found that when the internal THI is less than or equal to 77, the thermal comfort is high, and when THI is higher than 80, thermal comfort is low.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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