基于营养膜技术的模糊控制水培系统

Siti Mashumah, M. Rivai, A. N. Irfansyah
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引用次数: 17

摘要

蔬菜是人体所需要的营养物质。基于营养膜技术(NFT)的水培系统通常用于小型农场生产蔬菜,可以加快收获时间,生产高质量的产品。水培法最重要的参数之一是根据植物的年龄提供适量的养分。在本研究中,采用模糊逻辑控制设计了基于nft的水培系统。通过对芥菜植株HSV直方图进行图像处理,预测营养液电导率的设定值。实验结果表明,模糊逻辑控制能够按照植物的年龄提供营养,误差率为8.9%。
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Nutrient Film Technique based Hydroponic System Using Fuzzy Logic Control
Vegetables are nutrients that are needed by the human body. The Nutrient Film Technique (NFT) based Hydroponic system is typically used to produce vegetables on small farms that can accelerate the harvest time with high-quality products. One of the most important parameters in hydroponics is the providing of appropriate amounts of nutrients based on the age of the plant. In this study, the NFT-based hydroponic system has been designed by using fuzzy logic control. The set point value of Electrical Conductivity (EC) of the nutrient solution is predicted by image processing of HSV Histogram of the pakcoy mustard plant. The result of the experiment showed that the fuzzy logic control has been able to provide nutrients in accordance with the age of the plant with an error rate of 8.9%.
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