Implementation of a fuzzy system for optimizing the production environment in broiler poultry

Abstract

With the growing global demand for food, the need for more efficient production practices arises. Thus, new studies have emerged to include technologies that contribute to improving the sustainability of the sector, such as this one that developed a model based on fuzzy logic to assess the risk of environmental thermal stress in meat birds, considering environmental temperature, age and age as variables. of birds and the temperature and humidity index (THI). A comprehensive literature review was carried out to identify the most relevant variables. The results indicated that the fuzzy model is effective in classifying the risk of heat stress into low, moderate, and high levels, providing a valuable tool for environmental management in poultry production. The practical application of the developed model offers the advantages of environmental optimization of the production environment and a possible reduction of thermal stress, enabling the improvement of the birds' productive performance. The implementation of this system on farms can reduce operational costs related to air conditioning and promote environmental sustainability. Additionally, a decrease in the incidence of diseases related to heat stress is expected, improving the health and longevity of the flocks. This study presents an innovative and effective approach to environmental management in animal production, highlighting the potential of fuzzy logic as a decision support tool, with the possibility of future research expanding this model in different contexts and species.