Representação De Ciclos Harmônicos De Séries Temporais Modis Para Análise Do Cultivo Da Cana-de-açúcar

The objective of this work was to evaluate sugarcane cultivation, in a harmonic analysis applied to a time series of Modis vegetation indices, with the representation of harmonic terms. Daily rainfall data were obtained from Agritempo for the state of Sao Paulo, Brazil, and accumulated for a period of 16 days of Modis compositions, from the 2004/2005 to 2011/2012 crop seasons. The normalized difference vegetation index (NDVI) and the enhanced vegetation index (EVI) were used in time-series decomposed in harmonic terms by the harmonic analysis. In order to visualize the growing conditions of vegetation in agricultural areas, specially the phase information, the HLS transformation was applied to the harmonic terms obtained by the Hants algorithm, using Envi software. Sugarcane cultivation in the state of Sao Paulo shows spatial patterns that are coherent with the sugarcane development cycle and consistent with the variability of seasonal rainfall that directly affect the maximum period of vegetation indices. The peak growth stage of sugarcane occurs in years of normal rainfall; however, in years with below normal rainfall, sugarcane maturation phase is anticipated, and, in years with above normal rainfall, the growth phase is anticipated, which causes maturation delay.51111868187

CAP-DAIRY Computer aided planning of dairy farms

SIGLEAvailable from British Library Document Supply Centre-DSC:DX197744 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Modelos de predição da ferrugem do cafeeiro (Hemileia vastatrix Berkeley & Broome) por técnicas de mineração de dados

Coffee rust can cause severe yield losses if control measures are not taken. Warning models are capable of generating useful information regarding to the application of fungicides, decreasing economic losses and environmental impacts. The aim of this study was to develop, compare and select warning models developed by data mining techniques in order to predict the coffee rust in years of high and low fruit load. For 13 years (1998-2011), data was collected from an automatic weather station. The independent variables were 23, obtained from the weather station, and the dependent variable was the monthly progress rate for the coffee rust, which was generated by the values of disease incidence. The most important features were refined by feature selection techniques, and the modeling was performed using four data mining techniques: support vector machines, artificial neural networks, decision trees and random forests. For high fruit load years the best accuracy was 85.3% and for low fruit load years it was 88.9%. Other performance measures like recall and specificity also had high and balanced values. The warning models developed on this study provide further information for monitoring the disease on high fruit load years than other models previously developed, and also provide a possibility for the monitoring on years of low fruit load.9340841

A Decision Support System For Recommending Land Use And Soil Management [sistema De Suporte à Decisão Para Recomendação De Uso E Manejo Da Terra]

The objective of this work was to develop a decision support system to recommend land use and practices for soil conservation and management, which integrates an Expert System, Geographic Information System (GIS), a database and an interface to monitor input and output data and the messages passed between the subsystems. Using soil and slope maps, the developed system determines land capability from information stored in the database and also supplied by SIG; it recommends adequate uses for land capability class as well as practices for soil con servation and management and identifies conflict areas comparing the maps of land use with the land capability. All results can be visualized by the user through windows of the program, recorded or printed in form of report. In order to test the system, the municipality of Santo Antônio do Jardim, in the State of São Paulo, Brazil, was selected. The system is a powerful and efficient tool, permitting the evaluation of a region and thereby offering support for adequate decision making.104861866Bertolini, D.Lombardi Neto, F. Embasamento técnico do programa estadual de microbacias hidrográficas. In: Lombardi Neto, F.Drugowich, M.I. (coords.). Manual técnico de manejo e conservação de solo e água. v. 1, CATI. Campinas: CATI, 1994. 65p. Manual Técnico, 38Bertoni, J.Lombardi Neto, F. Conservação do solo. São Paulo: Ícone, 1990. 355pBurrough, P.A., (1986) Principles of geographical information systems for land resources assessment, , New York: Oxford University Press, 193pEMBRAPA - Empresa Brasileira de Pesquisa Agropecuária. Centro Nacional de Pesquisa de Solo. Sistema brasileiro de classificação de solos. Rio de Janeiro: EMBRAPA Solos, 1999. 412pGiarratano, J.C., Riley, G., (1993) Expert Systems: Principles and programming, , 2.ed. Boston: PWS, 644pGiboshi, M.L., (1999) Desenvolvimento de um sistema especialista para determinar a capacidade de uso da terra, , Campinas: UNICAMP, 77p. Dissertaç ão MestradoGiboshi, M.L., (2005) Sistema de apoio ao processo de decisão para a gestão do uso agrícola da terra, , Campinas: UNICAMP, 114p. Tese DoutoradoLagrotti, C.A.A., (2000) Planejamento agroambiental do município de Santo Antônio do Jardim - SP: Estudo de caso da microbacia hidrográfica do Córrego do Jardim, , Campinas: UNICAMP, 124p. Tese DoutoradoLepsch, I.F., Bellinazi Jr., R., Bertolini, D., Espíndola, C.R., Manual para levantamento utilitário do meio físico e classificação de terras no sistema de capacidade de uso (1991) Aproximação, 4 a. , 2.ed. Campinas: Sociedade Brasileira de Ciência do Solo, 175pLombardi Neto, F.Bellinazzi Jr., R. (coords.). Simpósio sobre terraceamento agrícola, 1, 1989, Campinas. Anais... Campinas: Fundação Cargil, 1989. 266pLombardi Neto, F.Drugowich, M.I. (coords.). Manual técnico de manejo e conservação de solo e água. V. III CATI. Campinas: CATI,1994. P.121-156. Manual Técnico, 40Oliveira, J.B. Levantamento pedológico semidetalhado do Estado de São Paulo: quadrícula de Mogi Mirim. São Paulo: IGC, 1992. esc. 1:100.000Pereira, L.C. Aptidão agrícola das terras e sensibilidade ambiental: proposta metodológica. Campinas: UNICAMP, 2002. 122p.Tese DoutoradoPlant, R.E., Stone, N.D., (1991) Knowledge-Based Systems in Agriculture, , San Francisco: McGraw-Hill, 364pSartori, A., (2004) Avaliação da classificação hidrológica do solo para a determinação do excesso de chuva do método do serviço de conservação do solo dos Estados Unidos, , Campinas: UNICAMP, 161p. Dissertação MestradoSprague, R.H., Watson, H.J., (1989) Decision support systems: Putting theory into practice, , Englewood Cliffs: Prentice Hall, 2 ed, 419pSawyer, B., Foster, D.L., (1986) Programming expert systems in Pascal, , New York: John Wiley & Sons, 186

Warning Models For Coffee Rust (hemileia Vastatrix Berkeley & Broome) By Data Mining Techniques [modelos De Predição Da Ferrugem Do Cafeeiro (hemileia Vastatrix Berkeley & Broome) Por Técnicas De Mineração De Dados]

Coffee rust can cause severe yield losses if control measures are not taken. Warning models are capable of generating useful information regarding to the application of fungicides, decreasing economic losses and environmental impacts. The aim of this study was to develop, compare and select warning models developed by data mining techniques in order to predict the coffee rust in years of high and low fruit load. For 13 years (1998-2011), data was collected from an automatic weather station. The independent variables were 23, obtained from the weather station, and the dependent variable was the monthly progress rate for the coffee rust, which was generated by the values of disease incidence. The most important features were refined by feature selection techniques, and the modeling was performed using four data mining techniques: support vector machines, artificial neural networks, decision trees and random forests. For high fruit load years the best accuracy was 85.3% and for low fruit load years it was 88.9%. Other performance measures like recall and specificity also had high and balanced values. The warning models developed on this study provide further information for monitoring the disease on high fruit load years than other models previously developed, and also provide a possibility for the monitoring on years of low fruit load.93408418Alves, M.C., A Soft computing approach for epidemiological studies of coffee and soybean rusts (2010) International Journal of Digital Content Technology and Its Applications, 4 (1), pp. 149-154. , Sandy Bay, FebBatchelor, W.D., Yang, X.B., Tschanz, A.T., Development of a neural network for soybean rust epidemics (1997) Transactions of the American Society of Agricultural Engineers, 40 (1), pp. 247-252. , Saint JosephBatista, G.E.A.P.A., Prati, R.C., Monard, M.C., A study of the behavior of several methods for balancing machine learning training data (2004) SIGKDD Explorations, 6 (1), pp. 20-29. , JuneBreiman, L., Random forests (2001) Machine Learning Journal, 45, pp. 5-32. , Hingham, JanChalfoun, S.M., (1997) Doenças Do Cafeeiro: Importância, Identificação E Métodos De Controle, , Lavras: UFLA/ FAEPEChang, C.C., Lin, C.J., LIBSVM: A library for support vector machines (2011) ACM Transactions On Intelligent Systems and Technology, 2 (3), pp. 1-27. , New York, AprCintra, M.E., The use of fuzzy decision trees for coffee rust warning in Brazilian crops (2011) International Conference On Intelligent Systems Design and Applications, pp. 1347-1352. , 11., 2011, Córdoba. Proceedings... Córdoba: IEEEFawcett, T., An introduction to ROC analysis (2006) Pattern Recognition Letters, 27 (8), pp. 861-874. , New York, JuneFayyad, U., Piatetsky-Shapiro, G., Smyth, P., From data mining to knowledge discovery in databases (1996) AI Magazine, Palo Alto, 17 (3), pp. 37-54. , JulyHall, M.A., The WEKA data mining software: An update. SIGKDD Explorations (2009) New York, 11 (1), pp. 10-18. , JuneHan, J., Kamber, M., Pei, J., (2011) Data Mining: Concepts and Techniques, p. 703. , 3rd ed. San Francisco: M. KaufmannHardwick, N.V., Disease forecasting (2006) The Epidemiology of Plant Diseases, pp. 239-267. , In: COOKE, B. M.JONES, D. G.KAYE, B. (Ed.), 2nd ed. Wageningen: SpringerHaykin, S., (2009) Neural Networks and Learning Machines, p. 936. , 3rd ed. Englewood Cliffs: Prentice-HallKushalappa, A.C., Akutsu, M., Ludwig, A., Application of survival ratio for monocyclic process of Hemileia vastatrix in predicting coffee rust infection rates (1983) Phytopathology, 73 (1), pp. 96-103. , Saint PaulKushalappa, A.C., Eskes, A.B., Advances in coffee rust research (1989) Annual Review of Phytopathology, 27, pp. 503-531. , Palo Alto, SeptLee, M.C., To, C., Comparison of support vector machine and back propagation neural network in evaluating the enterprise financial distress (2010) International Journal of Artificial Intelligence & Applications, 1, pp. 31-43. , NiskayunaLuaces, O., Using nondeterministic learners to alert on coffee rust disease (2011) Expert Systems With Applications, 38 (11), pp. 14276-14283. , New York, JanMeira, C.A.A., Rodrigues, L.H.A., Moraes, S.A., Análise da epidemia da ferrugem do cafeeiro com árvore de decisão (2008) Tropical Plant Pathology, 33, pp. 114-124. , Brasília, mar./abrMeira, C.A.A., Rodrigues, L.H.A., Moraes, S.A., (2009) Modelos De Alerta Para O Controle Da Ferrugem-docafeeiro Em Lavouras Com Alta Carga Pendente. Pesquisa Agropecuária Brasileira, 44 (3), pp. 233-242. , Brasília, marMolineros, J.E., Modeling epidemics of fusarium head blight: Trials and tribulations (2005) Phytopathology, Saint Paul, 95 (6), pp. S71Moraes, S.A., Período de incubação de Hemileia vastatrix Berk. e Br. em três regiões do Estado de SP (1976) Summa Phytopathologica, 2 (1), pp. 32-38. , PiracicabaPaul, P.A., Munkvold, G.P., A model-based approach to preplanting risk assessment for gray leaf spot of maize (2004) Phytopathology, 94 (12), pp. 1350-1357. , Saint PaulPaul, P.A., Munkvold, G.P., Regression and artificial neural network modeling for the prediction of gray leaf spot of maize (2005) Phytopathology, 95 (4), pp. 388-396. , Saint PaulPérez-Ariza, C.B., Nicholson, A.E., Flores, M.J., Prediction of coffee rust disease using bayesian networks (2012) European Workshop On Probabilistic Graphical Models, 6, pp. 259-266. , Granada. Proceedings... Granada: PGMPinto, A.C.S., Descrição da epidemia da ferrugem do cafeeiro com redes neuronais (2002) Fitopatologia Brasileira, 27 (5), pp. 517-524. , Brasília, set./outPrati, R.C., Batista, G.E.A.P.A., Monard, M.C., Curvas ROC para avaliação de classificadores (2008) Revista IEEE América Latina, 6, pp. 215-222. , São Paulo, junSouza, V.C.O., Técnicas de extração de conhecimento aplicadas a modelagem de ocorrência da cercosporiose (Cercospora coffeicola Berkeley & Cooke) em cafeeiros na região sul de minas gerais (2013) Coffee Science, 8 (1), pp. 91-100. , Lavras, jan./marCoffee: World Markets and Trade, , http://www.fas.usda.gov/psdonline/circulars/coffee.pdf, United States Department Of Agriculture, Disponível em, Acesso em: 15 fev. 2013Witten, I.H., Frank, E., Hall, M.A., Data Mining: Practical Machine Learning Tools and Techniques, p. 629. , 3rd ed. San Francisco: M. KaufmannZambolim, L., Epidemiologia e controle integrado da ferrugem-do-cafeeiro (2002) O Estado Da Arte De Tecnologias Na Produção De Café, pp. 369-449. , ZAMBOLIM, L. (Ed.), Viçosa, MG: UF

Analysis Of Coffee Leaf Rust Epidemics With Decision Tree [análise Da Epidemia Da Ferrugem Do Cafeeiro Com árvore De Decisão]

A decision tree was developed to aid the understanding of coffee rust epidemics caused by Hemileia vastatrix. Infection rates calculated from monthly assessments of rust incidence were grouped into three classes: reduction or stagnation - TX1; moderate growth (up to 5pp) - TX2; and accelerated growth (above 5pp) - TX3. Meteorological data, expected yield and space between plants were used as explanatory variables for the infection rate classes. The decision tree was trained using 364 examples prepared from data collected in coffee-growing areas between October 1998 and October 2006. The model correctly classified 78% of the training data set and its accuracy was estimated at 73% for the classification of new examples. The success rates of the model were 88%, 57% and 79%, respectively, for the infection rate classes TX1, TX2 and TX3. The most important explanatory variables were mean temperature during leaf wetness periods, expected yield, mean of maximum temperatures during the incubation period and relative air humidity. The decision tree demonstrated its potential as a symbolic and interpretable model. Its model representation identified the existing decision boundaries in the data and the logic underlying them, helping to understand which variables, and interactions between these variables, led to coffee rust epidemics in the field. Copyright by the Brazilian Phytopathological Society.332114124Apte, C., Weiss, S., Data mining with decision trees and decision rules (1997) Future Generation Computer Systems, 13, pp. 197-210Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J., (1984) Classification and regression trees, , Boca Raton FL. CRC PressButt, D.J., Royle, D.J., Multiple regression analysis in the epidemiology of plant diseases (1974) Epidemics of plant diseases: Mathematical analysis and modeling, pp. 78-114. , Kranz J Ed, New York NY. Springer Verlag. ppChalfoun SM (1997) Doenças do cafeeiro: importância, identificação e métodos de controle. Lavras MG. FAEPE, Universidade Federal de LavrasChapman P, Clinton J, Kerber R, Khabaza T, Reinartz T, Shearer C, Wirth R (2000) CRISP-DM 1.0: step-by-step data mining guide. Chicago IL. SPSSFayyad, U., Piatetsky-Shapiro, G., Smyth, P., From data mining to knowledge discovery: An overview (1996) Advances in knowledge discovery and data mining, pp. 1-34. , Fayyad U, Piatetsky-Shapiro G, Smyth P, Uthurasamy R Eds, Menlo Park CA. AAAI Press. ppGleason, M.L., Taylor, S.E., Loughin, T.M., Koehler, K.J., Development and validation of an empirical model to estimate the duration of dew periods (1994) Plant Disease, 78, pp. 1011-1016Han, J., Kamber, M., (2001) Data mining: Concepts and techniques, , San Francisco CA. Morgan KaufmannHand, D., Mannila, H., Smyth, P., (2001) Principles of data mining, , Cambridge. MIT PressJapiassú LB, Garcia AWR, Miguel AE, Carvalho CHS, Ferreira RA, Padilha L, Matiello JB (2007) Influência da carga pendente, do espaçamento e de fatores climáticos no desenvolvimento da ferragem do cafeeiro. Anais, 5°. Simpósio de Pesquisa dos Cafés do Brasil, Águas de Lindóia SP. CD-ROMKim, K.S., Taylor, S.E., Gleason, M.L., Koehler, K.J., Model to enhance site-specific estimation of leaf wetness duration (2002) Plant Disease, 86, pp. 179-185Kushalappa, A.C., Akutsu, M., Ludwig, A., Application of survival ratio monocyclic process of Hemileia vastatrix in predicting coffee rust infection rates (1983) Phytopathology, 73, pp. 96-103Kushalappa, A.C., Eskes, A.B., (1989) Coffee rust: Epidemiology, resistance, and management, , Boca Raton FL. CRC PressMolineros, J.E., Madden, L., Lipps, P., Shaner, G., Osborne, L., Shaukat, A., Francl, L., de Wolf, E.D., Comparison of methods for developing fusarium head blight forecasting models (2004) Proceedings, 2nd International Symposium on Fusarium Head Blight, p. 475. , Canty SM, Boring T, Wardwell J, Ward RW Eds, Orlando FL. pMolineros, J.E., de Wolf, E.D., Francl, L., Madden, L., Lipps, P., Modeling epidemics of fusarium head blight: Trials and tribulations (2005) Phytopathology, 95 (SUPPL.), p. 71Monard, M.C., Baranauskas, J.A., Indução de regras e árvores de decisão (2002) Rezende SO (Org.) Sistemas inteligentes: Fundamentos e aplicações. Barueri SP, pp. 115-139. , Editora Manole. ppMonard, M.C., Baranauskas, J.A., Conceitos sobre aprendizado de máquina (2002) Rezende SO (Org.) Sistemas inteligentes: Fundamentos e aplicações. Barueri SP, pp. 89-114. , Editora Manole. ppMontoya, R.H., Chaves, G.M., Influência da temperatura e da luz na germinação, infectividade e período de geração de Hemileia vastatrix Berk. & Br. (1974) Experientiae, 18, pp. 239-266Moraes, S.A., (1983) A ferrugem do cafeeiro: Importância, condições predisponentes, evolução e situação no Brasil, , Campinas SP. Instituto AgronômicoMoraes, S.A., Sugimori, M.H., Ribeiro, I.J.A., Ortolani, A.A., Pedro Junior, M.J., Período de incubação de Hemileia vastatrix Berk. et Br. em três regiões do Estado de São Paulo. (1976) Summa Phytopathologica, 2, pp. 32-38Paul, P.A., Munkvold, G.P., A model-based approach to preplanting risk assessment for gray leaf spot of maize (2004) Phytopathology, 94, pp. 1350-1357Pinto, A.C.S., Pozza, E.A., Souza, P.E., Pozza, A.A.A., Talamini, V., Boldini, J.M., Santos, F.S., Descrição da epidemia da ferrugem do cafeeiro com redes neuronais. (2002) Fitopatologia Brasileira, 27, pp. 517-524Quinlan JR (1993) C4.5: programs for machine learning. San Francisco CA. Morgan KaufmannSilva-Acuña, R., Zambolim, L., Cruz, C.D., Vale, F.X.R., Estudo epidemiológico da ferragem do cafeeiro (Hemileia vastatrix) utilizando a análise de trilha. (1998) Fitopatologia Brasileira, 23, pp. 425-430Sutton, J.C., Gillespie, T.J., Hildebrand, P.D., Monitoring weather factors in relation to plant disease (1984) Plant Disease, 68, pp. 78-84Witten, I.H., Frank, E., (2005) Data mining: Practical machine learning tools and techniques, , 2nd Ed. San Francisco CA. Morgan KaufmannZambolim L, Vale FXR, Pereira AA, Chaves GM (1997) Café (Coffea arabica L.): controle de doenças - doenças causadas por fungos, bactérias e vírus. In: Vale FXR, Zambolim L (Eds.) Controle de doenças de plantas: grandes culturas. 1. Viçosa MG. UFV. pp. 83-140Zambolim, L., Vale, F.X.R., Costa, H., Pereira, A.A., Chaves, G.M., (2002) Epidemiologia e controle integrado da ferrugem-do-cafeeiro, pp. 369-450. , Ed, O estado da arte de tecnologias na produção de café. Viçosa MG. UFV. p

Thermal Comfort Fuzzy Index For Broiler Chickens [Índice Fuzzy De Conforto Térmico Para Frangos De Corte]

Estimating thermal comfort in modern poultry production is important that acclimatization systems can be triggered at appropriate time reducing losses and increasing yield. Although current literature presents some thermal comfort indexes which are applied for this estimation those are based just on ambient thermal conditions and do not consider important factors inherent to the animals such as genetics and capability of adaptation, generally providing an inadequate estimation of the birds' thermal comfort. This research developed the Fuzzy thermal comfort index (FTCI) aiming to estimate broilers' thermal comfort considering that the mechanism used by the birds for losing heat in environments outside the thermoneutral zone is the peripheral vasodilatation, which increases the surface temperature. Measurements of surface feathers and skin temperature of birds were used. The FTCI was developed using the data of two experiments which provided 108 distinct environmental scenarios. Infrared thermal images were used for registering surface temperature of feathers and skin, as well as the birds' feathering degree. For the same scenarios of thermal environment both FTCI and the temperature and humidity index (THI) were compared. Results validated the FTCI for estimating broilers' thermal comfort, being specific for the estimation of danger conditions usually found in housing in tropical climate countries. This characteristic is advantageous in models which estimate broiler thermal welfare, as occurrence classified as dangerous may lead to economical downward in avoiding productive losses.312219229Amendola, M., Castanho, M.J., Nääs, I.A., Souza, A.L., Análise matemática de condições de conforto térmico para avicultura usando a teoria dos conjuntos Fuzzy (2004) Biomatemática, 14, pp. 87-92. , CampinasAmendola, M., Souza, A., (2004) Manual do uso da teoria dos conjuntos Fuzzy no MATLAB 6. 5, p. 30. , Campinas: CPG/FEAGRI/UNICAMPBarros, L.C., Bassanezi, R.C., Tópicos de Lógica Fuzzy e Biomatemática (2006), p. 354. , Campinas: IMECC-UNICAMPBorges, S.A., Maiorka, A., Silva, A.V.F., Heat stress physiology and electrolytes for broilers (2003) Ciência Rural, Santa Maria, 33 (5), pp. 975-981Cahaner, A., Pinchasov, Y., Nir, I., Effect of dietary protein under high ambient temperature on body weight, breast meat yield and abdominal fat deposition, of broiler stock differing in growth rate and fatness (1995) Poultry Science, 74 (6), pp. 968-975. , ChampaignCangar, O., Aerts, J.M., Buyse, J., Berckmans, D., Quantification of the spatial distribution of surface temperatures of broilers (2008) Poultry Science, 87 (12), pp. 2.493-2.499. , ChampaignCarvalho, F., Júnior, T.Y., Ferreira, L., Damasceno, F.A., Silva, M.P., Mapping of potential use of evaporative cooling systems in Southeastern Brazil. Revista Brasileira de Engenharia Agrícola e Ambiental (2009) Campina Grande, 13 (3), pp. 358-366Dahlke, F., Gonzales, E., Gadelha, A.C., Maiorka, A., Borges, S.A., Rosa, S., Filho, D.E.F., Furlan, R.L., Feathering, triodothyronine and thyroxine plasma levels and body temperature of two broiler lines raised under different temperatures (2005) Ciência Rural, Santa Maria, 35 (3), pp. 664-670Denoix, J.M., Diagnostic techniques for identification and documentation of tendon and ligament injuries (1994) Veterinary Clinics of North America: Equine Practice, Maryland Heights, 10 (2), pp. 365-407Fukayama, E.H., Sakomura, K., Neme, R., Freitas, E.R., Effect of environmental temperature and feather coverage on the performance of two laying-type pullets lines (2005) Ciência Agrotecnologia, Lavras, 29 (6), pp. 1.272-11Gates, R.S., Chao, K., Sigrimis, N., Identifying design parameters for fuzzy control of staged ventilation control systems (2001) Computers and Electronics in Agriculture, Bornsesteeg, 31, pp. 61-74Lin, H., Jiao, H.C., Buyse, J., Decuypere, E., Strategies for preventing heat stress in poultry (2006) World's Poultry Science Journal, Beekbergen, 62 (1), pp. 71-86Moura, D.J., Nääs, I.A., Pereira, D.F., Silva, R.B.T.R., Camargo, G.A., Animal welfare concepts and strategy for poultry production: a review (2006) Revista Brasileira de Ciência Avícola, Campinas, 8 (1), pp. 137-148Oliveira, L.H., Amendola, M., Nääs, I.A., Estimativa das condições de conforto térmico para avicultura de postura usando a teoria dos conjuntos Fuzzy. Engenharia Agrícola (2005) Jaboticabal, 25 (2), pp. 300-307Owada, A.N., Nääs, I.A., Moura, D.J., Baracho, M.S., Estimativa de bem-estar de frango de corte em função da concentração de amônia e grau de luminosidade no galpão de produção (2007) Engenharia Agrícola, Jaboticabal, 27 (3), pp. 611-618Pereira, D.F., Bighi, C.A., Gabriel Filho, L.R.A., Gabriel, C.P.C., Sistema fuzzy para estimativa do bem-estar de matrizes pesadas (2008) Engenharia Agrícola, Jaboticabal, 28 (4), pp. 624-633Pereira, D.F., Nääs, I.A., Estimating the thermoneutral zone for broiler breeders using behavioral analysis (2008) Computers and Electronics in Agriculture, 62 (1), pp. 2-7. , DavisPerissinoto, M., Moura, D.J., Cruz, F., Souza, S.R.L., Lima, K.A.O., Mendes, A.S., Thermal comfort on Subtropical and Mediterranean climate analyzing some physiological data through fuzzy theory (2009) Ciência Rural, 39 (5), pp. 1.492-1.498. , Santa MariaRichards, S.A., The significance of changes in the temperature of the skin and body core of the chicken in the regulation of heat loss (1971) The Journal of Physiology, 216 (1), pp. 1-10. , LondresSantos, A., Baêta, F.C., Tinôco, I.F.F., Albino, L.F.T., Cecon, 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 (2009) Revista CERES, Viçosa-MG, 56 (2), pp. 172-180Shinder, D., Rusal, M., Tanny, J., Druyan, S., Yahav, S., Thermoregulatory responses of chicks (Gallus Domesticus) to low ambient temperatures at an early age (2007) Poultry Science, 86 (10), pp. 2.200-2.209. , ChampaignTessier, M., Tremblay, D.D., Klopfenstein, C., Beauchamp, G., Boulianne, M., Abdominal skin temperature variation in healthy broiler chickens as determined by thermography (2003) Poultry Science, 82 (5), pp. 846-849. , Champaign(2010), www.testo.com, TESTO. Software TEXTO, versão 1.4. Disponível em: Acesso em: 20 abrThom, E.C., The discomfort index (1959) Weatherwise, 12 (1), pp. 57-60. , OmahaVranken, E., Gevers, R., Aerts, J.M., Berckmans, D., Performance of model-based predictive control of the ventilation rate with axial fans (2005) Biosystems Engineering,, 91 (1), pp. 81-98. , Maryland HeightsWelker, J.S., Rosa, A.P., Moura, D.J., Machado, L.P., Catelan, F., Uttpatel, R., Temperatura corporal de frangos de corte em diferentes sistemas de climatização (2008) Brazilian Journal of Animal Science, 37 (8), pp. 1.463-1.467. , Viçosa-MGYahav, S., Shinder, D., Tanny, J., Cohen, S., Sensible heat loss: the broiler's paradox (2005) World's Poultry Science Journal, 61 (3), pp. 419-434. , BeekbergenYahav, S., Straschnow, A., Luger, D., Shinder, D., Tanny, J., Cohen, S., Ventilation, sensible heat loss, broiler energy, and water balance under harsh environmental conditions (2004) Poultry Science, 83 (2), pp. 253-258. , Champaig