用模糊逻辑方法控制智能温室

R. Syam, W. H. Piarah, B. Jaelani
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引用次数: 14

摘要

要提高农业产量,就需要一种能够帮助环境条件优化植物生长的系统。智能温室使植物生长最佳,因为温度和湿度可以控制,所以没有剧烈的变化。优化的智能温室需要一个系统来根据植物的需要来操纵环境。在这种情况下,温室内的温度和湿度根据植物的需要来设定。因此,使用自动化系统来保持这样的环境条件是很重要的。在本研究中,作者利用模糊逻辑,根据输入的温湿度,使植物的浇水时间更具动态性,使温室植物的温湿度保持在参考条件下。实验结果表明,模糊逻辑方法能有效控制温室内的浇水时间,保持温室内的最佳温度和湿度
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling Smart Green House Using Fuzzy Logic Method
—To increase agricultural output it is needed a system that can help the environmental conditions for optimum plant growth. Smart greenhouse allows for plants to grow optimally, because the temperature and humidity can be controlled so that no drastic changes. It is necessary for optimal smart greenhouse needed a system to manipulate the environment in accordance with the needs of the plant. In this case the setting temperature and humidity in the greenhouse according to the needs of the plant. So using an automated system for keeping such environmental condition is important. In this study, the authors use fuzzy logic to make the duration of watering the plants more dynamic in accordance with the input temperature and humidity so that the temperature and humidity in the green house plants maintained in accordance to the reference condition. Based on the experimental results using fuzzy logic method is effective to control the duration of watering and to maintain the optimum temperature and humidity inside the greenhouse
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