基于模糊逻辑的地面温度和湿度的自动喷水系统

Rahmalia Syahputri, Alexander Hendra Wijaya, Nurfiana Nurfiana, Dodik Setyawan
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引用次数: 0

摘要

通过使用物联网实现农业流程现代化,可以实现农业优化。温室中现代农业过程的问题之一是保持稳定的室温和土壤湿度条件。目前,自动浇水只是通过一个基于特定时间的调度系统进行的,比如早上和晚上。根据对两个花园的观察,由于缺水,一些植物的状况看起来很干燥和枯萎。因此,必须有一个计算土壤含水量和室温的系统,然后将这些计算结果提供给打开植物浇水装置。采用模糊逻辑确定系统状态,通过关注空气温度和土壤湿度,向物联网硬件发送信号,自动进行植物浇水过程。该规则应用于智能农业应用程序Tani Cerdas,以管理基于物联网的现代农业。测试结果表明,所建的自动化系统能够根据传感器的数据对植物进行良好的浇水响应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SISTEM PENYIRAMAN OTOMATIS BERDASARKAN SUHU RUANG DAN KELEMBAPAN TANAH BERBASIS FUZZY LOGIC
Optimization of agriculture can be done by modernizing agricultural processes through the use of the Internet of Things. One of the problems with modern agricultural processes in greenhouses is maintaining stable room temperature and soil moisture conditions. Currently, automatic watering is only carried out with a scheduling system based on certain times, such as morning and evening. Based on observations of two gardens, the condition of some plants looks dry and wilted due to lack of watert. Therefore, it is essential to have a system that calculates soil moisture content and room temperature, which will then provide the results of these calculations to turn on the plant watering device. Fuzzy logic is used to determine the condition of the system that will send a signal to the IoT hardware to carry out the process of watering plants automatically by paying attention to air temperature and soil humidity. This rule is applied to the Smart Farming application, called Tani Cerdas, to manage modern agriculture based on the IoT. The test showed result that the built automation system can produce a good response to watering the plants based on data from sensors.
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