基于物联网的智能鸡舍生态系统优化肉鸡生长

D. Suprianto, Ermi Pristiya, Arief Prasetyo
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引用次数: 0

摘要

鸡肉消费是高价值的经济部门之一。为了获得最佳的养鸡效果,有必要定期保持鸡舍的温度和湿度。应用物联网监测鸡舍的温度和湿度具有重要意义。因此,还需要一种基于Sugeno模糊方法决策的温湿度自动控制系统。基于物联网平台的智能鸡舍模糊算法可以作为一种替代过程温湿度控制自动取代传统方法。试验结果表明,该系统可以将温度和湿度控制在30.3℃,这是肉鸡生长时间的理想温度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Chicken Coop Ecosystem for Optimal Growth of Broiler Chickens Using Fuzzy on IoT
Chicken consumption is one of the high-value economic sectors. In order to harvest chickens optimally, it is necessary to maintain the temperature and humidity of the chicken coop regularly. The application of IoT to monitor the temperature and humidity of the chicken coop is significant. Therefore, an automatic temperature-humidity control system based on decisions made using the Sugeno fuzzy method is also needed. Smart chicken coop with the fuzzy algorithm on platform internet of things can be used as an alternative process temperature and humidity control automatically replace conventional method. Based on the results of the tests, this system can control temperature and humidity at 30.3°C, which is the ideal temperature for the growing time of broilers.
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