Software to Assess Beef Cattle Body Mass Through the Fuzzy Body Mass Index

Abstract

The Body Mass Index (BMI) can be used by farmers to help determine the time of evaluation of the body mass gain of the animal. However, the calculation of this index does not reveal immediately whether the animal is ready for slaughter or if it needs special care fattening. The aim of this study was to develop a software using the Fuzzy Logic to compare the bovine body mass among themselves and identify the groups for slaughter and those that requires more intensive feeding, using "mass" and "height" variables, and the output Fuzzy BMI. For the development of the software, it was used a fuzzy system with applications in a herd of 147 Nellore cows, located in a city of Santa Rita do Pardo city -Mato Grosso do Sul (MS) state, in Brazil, and a database generated by Matlab software.KEYWORDS: computer system, IMC, Mamdani and profits. SOFTWARE PARA A AVALIAÇÃO DE GANHO CORPORAL DE REBANHO NELORE PELO ÍNDICE DE MASSA CORPORAL FUZZYRESUMO: O Índice de Massa Corporal (IMC) pode ser utilizado por pecuaristas para auxiliar na determinação do momento da avaliação de ganho corporal do animal. No entanto, o cálculo desse índice não revela imediatamente se o animal está apto ao abate ou se necessita de cuidados especiais para recuperação. O objetivo deste trabalho foi desenvolver um software utilizando a lógica fuzzy para a comparação da massa corporal de bovinos entre si e identificação dos grupos para abate, e dos que necessitam de alimentação mais intensa, utilizando-se das variáveis "massa" e "altura", e a saída IMCFuzzy. Para a elaboração do software, utilizou-se de um sistema fuzzy com aplicações em um rebanho de 147 vacas nelore, localizado em Santa Rita do Pardo-MS, e um banco de dados gerado pelo software Matlab.

Influence of Testosterone on Body and Testicular Development in Zebu Cattle in the Tropical Climate

“…With the expansion of Fuzzy logic studies aimed at breeding animals [33,34], one can mathematically model physical morphometric variable studies, attempting to predict how that variable behaves with time. Thus, the present study calculated the body mass index.…”

“…The variable is easy to obtain, as it requires only body weight and measurement of height at the withers as the animal is contained in the cattle crush. By using the body mass index scoring nomenclature for the age of the animals in the present study, adopting the score published for adult zebu cattle with application of the fuzzy logic system according to [33,34], the mean body mass index at ages 10 and 12 months ( Table 3) fall in the "very low body mass index" category; the age of 14 months is classified as "low body mass index"; and the ages of 16 and 18 months are classified as "high body mass index". Brahman animals in the present study were young, with continuous increase in body mass index due to the increase in height at the withers in conjunction with gains in body weight.…”

Fuzzy Modeling of the Effects of Irrigation and Water Salinity in Harvest Point of Tomato Crop. Part I: Description of the Method

“…Thus, both the soil water tension of -10 kPa as the salinity irrigation dose of 5 dS m -1 obtained degree of pertinence 1. This procedure was used by Cremasco et al (2010), Gabriel Filho et al (2011), Pereira et al (2008), Putti et al (2014, Putti (2015) and Gabriel Filho et al (2016).…”

Development of an Interactive Program to Study of the Continuation Power Flow

“…Recentemente, em [4] foi desenvolvido um software utilizando a lógica fuzzy para a comparação da massa corporal de bovinos entre si e identificação dos grupos para abate, e dos que necessitam de alimentação mais intensa, utilizando-se das variáveis "massa" e "altura", e a saída IMCFuzzy.…”