EXTRACTION OF RULES BY CLASSIFICATION FROM WEATHER STATION DATA TO HELP IN THE FORECAST OF TEMPERATURE AND HUMIDITY INDEX FOR DAIRY CATTLE

Authors

  • M. P. dos Santos
  • M. M. do Vale
  • J. P. A. Santos
  • J. C. dos Santos

DOI:

https://doi.org/10.18011/bioeng2014v8n3p220-226

Keywords:

THI, thermal comfort, heat stress, environment, data mining

Abstract

Forecasts for comfort index to dairy cattle are unavailable in Brazil and the extraction rules on weather behavior can assist in predicting the animal's comfort, especially for those who are in unprotected places. This study aims to develop a methodology for extracting predictive rules from heat stress conditions in dairy cattle. The analysis was performed using the database of the National Institute of Meteorology (INMET), referring to the hourly averages for the period between September 15th to November 13th of 2013 in Santa Maria - RS, Brazil. The input variables were time of day, air temperature, dew point temperature, relative humidity and the temperature and humidity index. The extraction of the rules was done by the technique of Data Mining and the classification task by building the J48 decision tree algorithm. The classification of the Temperature and Humidity Index (THI) was based on two classes, being NORMAL for THI values ​​less than or equal to 74, and ALERT to values ​​above 74, considered as a promoter of stress. Data mining has resulted in the description of 11 rules of the relationship between temperature, relative humidity and time of day with the THI. Data mining has enabled the understanding of the variables analyzed and the generated rules can help in forecasts based on meteorological forecasts and environmental temperature controllers and relative humidity schedule.

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References

BAETA, F. C.; SOUZA, C. F. Ambiência em edificações rurais - conforto animal. Viçosa: Editora da Universidade Federal de Viçosa. 2010. 269p.

CAMPOS, A. T.; PIRES, M. F. Á. Prognóstico de declínio na produção de leite em função do clima na Região de Goiás. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 38., 2001, Piracicaba. Anais. Piracicaba: FEALQ, 2001. v.1, p. 11-13.

CURTIS, S. E. Environmental Management in Animal Agriculture. Iowa University Press: 1983 Ames, p.409.

BROWN-BRANDL, T. M.; EIGENBERG, R. A.; NIENABER, J. A.; HAHN, G. L. Dynamic Response Indicators of Heat Stress in Shaded and Non-shaded Feedlot Cattle, Part 1: Analyses of Indicators. Biosystems Engineering, v.90, n.4, p.451–462, 2005.

INMET. Organizadores; Andrea Malheiros Ramos, Luiz André Rodrigues dos Santos, Lauro Tadeu Guimarães Fortes. Normais Climatológicas do Brasil 1961-1990. Brasília, DF: 465p, 2009. ISBN: 978-85-62817-01-4

JOHNSON, H. D. Environmental temperature and lactation with special reference to cattle. Internationa Jounal of Biometeorology. 1965, v.9 p.103-116.

KLOSOWSKI, E. S.; CAMPOS, A.T.; CAMPOS.; A.T. Estimativa do declínio na produção de leite, em período de verão, para Maringá-PR, Revista Brasileira de Agrometeorologia, v.10,n.1, p.283-288, 2002.

NARDONE A.; RONCHI B.; LACETERA N.; BERNABUCCI U. Climatic Effects on Productive Traits in Livestock. Veterinary Research Communications, v. 30, p. 75-81.

NIENABER, J.A.; HAHN, G.L. Engineering and management practices to ameliorate livestock heat stress. 2004. In: INTERNATIONAL SYMPOSIUM OF THE CIGR. NEW TRENDS IN FARM

QUINLAN, J.R. C4.5: Programs for machine learning. Morgan Kaufmann Publishers, 1993, 302 p.

QUINLAN, J.R. Improved use of continuous attributes in C4.5. Journal of Artificial Intelligence Research, v. 4, p. 77-90, 1996.

SANTOS, P.A.; BAÊTA, F.C.; TINÔCO, I.F.F.; ALBINO, L.F.T.; CECON, P.R. Ventilação em modos túnel e lateral em galpões avícolas e seus efeitos no conforto térmico, na qualidade do ar e no desempenho das aves. Revista CERES, Viçosa-MG, v.56, n.2, p.172-180, 2009.

SHEARER, J. K.; BEEDE, D. K. Thermoregulation and physiological responses of dairy cattle in hot weather. Agri-Practice, Santa Bárbara, v. 11, n. 4, p. 5-8, 13, 16-17, 1990.

SILVA, T. G. F.; MOURA, M. S. B.; SÁ I. I. S.; ZOLNIER, E.; TURCO, S. H. N.; JUSTINO, F.; CARMO. J. F. A.; SOUZA, L. S. B. Impactos das mudanças climáticas na produção leiteira do estado de Pernambuco: análise para os cenários b2 e a2 do IPCC. Revista Brasileira de Meteorologia, v.24, n.4, 489 - 501, 2009

SOUZA, S. R. L.; NÄÄS, I. A.; MARCHETO, F. G.; SALGADO, D. D. Análise das condições ambientais em sistemas dede alojamento ‘‘freestall’’ para bovinos de leite. Revista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, PB, v.8, n.2/3, p.299-303, 2004

ST-PIERRE, N. R.; COBANOV, B.; SCHNITKEY, G. Economic losses from heat stress by livestock industries. Journal of Dairy Science, E. Suppl., p. 52-77, 2003.

WITTEN, I.H.; FRANK, E. Data mining: practical machine learning tools and techniques. 2nd ed. San Francisco: Morgan Kaufmann, p 525, 2005.

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Published

2014-12-08

How to Cite

DOS SANTOS, M. P.; DO VALE, M. M.; SANTOS, J. P. A.; DOS SANTOS, J. C. EXTRACTION OF RULES BY CLASSIFICATION FROM WEATHER STATION DATA TO HELP IN THE FORECAST OF TEMPERATURE AND HUMIDITY INDEX FOR DAIRY CATTLE. Revista Brasileira de Engenharia de Biossistemas, Tupã, São Paulo, Brazil, v. 8, n. 3, p. 220–226, 2014. DOI: 10.18011/bioeng2014v8n3p220-226. Disponível em: https://seer.tupa.unesp.br/index.php/BIOENG/article/view/197. Acesso em: 1 dec. 2021.

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