基于物联网的气培介质马铃薯植株监控系统

Mella Geovanie, Ikhwan Ruslianto, Uray Ristian
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引用次数: 0

摘要

气培是一种没有土壤介质的耕作方法,其工作原理是在植物根部以薄雾的形式喷洒水和营养液。气培方法本身的使用需要监测和控制空气温度、空气湿度、水温和营养水平。不正确的设置会导致植物经历干旱、根腐和缺乏营养元素,从而导致植物死亡。因此,我们需要一个能够监测和控制空气温度、空气湿度、水温和营养成分的系统。这项研究构建了一个基于物联网的系统,可以帮助提供有关网站应用程序上显示的空气温度、空气湿度、水温和营养素含量的信息。该系统还可以执行手动和自动控制功能。在测试结果中,传感器值读取系统的空气温度准确率为98.56%,空气湿度读数准确率为96.89%,水温读数准确度为99.64%,营养液读数准确度97.02%,水位读数准确度99.86%。对马铃薯植株观察21天的测试结果显示,最高株高平均4.36厘米,最低株高平均0.96厘米的生长增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Aeroponic Media Potato Plant Monitoring and Control System Internet of Things Based
Aeroponics is a farming method without soil media that works by spraying water and a nutrient solution in the form of a mist on plant roots. The use of the aeroponic method itself requires monitoring and controlling air temperature, air humidity, water temperature, and nutrient levels. Incorrect settings can cause plants to experience drought, root rot, and a lack of nutritional elements, which can cause plant death. Therefore, we need a system that can monitor and control air temperature, air humidity, water temperature, and nutrient content. This research builds an Internet of Things-based system that can assist in providing information regarding the values of air temperature, air humidity, water temperature, and nutrient content displayed on the website application. The system can also perform manual and automatic control functions. In the test results, the sensor value reading system has an accuracy of 98.56% for air temperature, 96.89% for accuracy of air humidity readings, 99.64% for accuracy of water temperature readings, 97.02% for accuracy of nutrient solution readings, and 99.86% for accuracy of water level readings. The test results from observing potato plants for 21 days showed an increase in growth in the highest plant height with an average of 4.36 cm and the lowest plant height growth with an average of 0.96 cm.
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