Applying Paraconsistent Annotated Logic Eτ for Optimizing Broiler Housing Conditions

Angel Antonio Gonzalez Martinez, I. de Alencar Nääs, Thayla Morandi Ridolfi de Carvalho-Curi, J. Abe
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Abstract

Broilers are particularly sensitive to heat stress, which can impair growth, and lower conversion efficiency and survival rates. Under a climate change scenario, maintaining optimal thermal conditions within broiler houses becomes more complex and energy-intensive. Climate change can worsen air quality issues inside broiler houses by increasing the concentration of harmful gases, and proper mechanical ventilation systems are essential for diluting and removing these gases. The present study aimed to develop and validate a model for the ideal broiler housing strategy by applying the Paraconsistent Annotated Evidential Logic Eτ. A database from four broiler houses in a commercial farm, rearing 157,700 birds from the 1st to the 42nd day of growth, was used in the research. All environmental data were recorded weekly inside the houses, and on day 42, flock mortality, overall feed-to-gain ratio, and body weight were calculated and registered. The Cohen’s Kappa statistics for each environmental parameter classification compared to the paraconsistent classification. Results indicated that temperature shows good agreement, relative humidity shows slight agreement, air velocity presents a good agreement, CO2 concentration has a slight agreement, and NH3 concentration is classified by slight agreement. The environmental and productivity variables as a function of the broiler age using the extreme True paraconsistent state indicate the model validation. The paraconsistent analysis presented the ideal scenario for broilers’ growth, maintaining the environmental variables level within a particular threshold and providing greater profit to broiler farmers.
应用旁证注释逻辑 Eτ 优化肉鸡饲养条件
肉鸡对热应激特别敏感,热应激会影响肉鸡的生长,降低转化效率和存活率。在气候变化的情况下,保持肉鸡舍内的最佳热量条件变得更加复杂和能源密集。气候变化会增加有害气体的浓度,从而恶化肉鸡舍内的空气质量问题,而适当的机械通风系统对于稀释和去除这些气体至关重要。本研究旨在通过应用 Paraconsistent Annotated Evidential Logic Eτ 来开发和验证理想肉鸡饲养策略模型。研究使用的数据库来自一家商业农场的四栋肉鸡舍,从生长的第 1 天到第 42 天共饲养了 15.77 万只肉鸡。每周记录鸡舍内的所有环境数据,并在第 42 天计算和登记鸡群死亡率、总体料增比和体重。每个环境参数分类的 Cohen's Kappa 统计与准一致分类进行了比较。结果表明,温度显示出良好的一致性,相对湿度显示出轻微的一致性,空气流速显示出良好的一致性,二氧化碳浓度显示出轻微的一致性,NH3浓度的分类显示出轻微的一致性。环境和生产率变量与肉鸡日龄的函数关系采用极端真实准一致状态,表明模型得到了验证。准一致分析提出了肉鸡生长的理想方案,将环境变量水平保持在特定临界值内,为肉鸡养殖户提供了更大的利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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