Monitoring System and Hydroponic Plant Automation Using Microcontroller Internet of Things Based (IoT)

Nopi Ramsari, Taufik Hidayat
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Abstract

Hydroponics is a technique of cultivating plants without using soil media, but using water as a planting medium. Important factors that must be considered in hydroponic plants are plant nutrition, water, temperature, and light intensity. These factors are necessary for hydroponic plants for the growth and reproduction of hydroponic plants. Due to the nutritional needs of hydroponic plants, farmers must take the time to check the concentration of nutrients in hydroponic plants so that the plants can grow well. Therefore, it is necessary to develop new methods of hydroponic farming so that they can grow and develop properly, which can be controlled and monitored automatically. Thus, farmers no longer need to come to agricultural locations. One of the technologies used is technology with the Internet of Things (IoT). This study uses a prototype methodology. For the plant sample used is the lettuce plant. The microcontroller is used as the main controller of all IoT components while the sensors used are the TDS sensor, temperature sensor and light intensity sensor. The research that has been done is IoT technology on hydroponic plants that can monitor and automate plant nutrition settings that are personalized to the needs of hydroponic plants. From the results of testing the IoT tool by reading data from the light intensity and temperature sensors, there is a link between the UV light intensity produced and the water temperature in the hydroponic plant reservoir, that is, the higher the UV light intensity, the higher the water temperature and vice versa. In addition, the other factors are weather and climate conditions around hydroponic plants. IoT data is stored in cloud storage which requires a rental fee.
基于物联网(IoT)的微控制器监控系统和水培工厂自动化
水培法是一种不使用土壤介质而用水作为种植介质的植物栽培技术。水培植物必须考虑的重要因素是植物营养、水分、温度和光照强度。这些因素是水培植物生长繁殖所必需的。由于水培植物的营养需求,农民必须花时间检查水培植物的营养浓度,以便植物生长良好。因此,有必要开发新的水培耕作方法,使它们能够正常生长和发育,并可以自动控制和监测。因此,农民不再需要来到农业地点。使用的技术之一是物联网(IoT)技术。本研究采用原型方法。使用的植物样本是生菜。微控制器用作所有物联网组件的主控制器,而使用的传感器是TDS传感器,温度传感器和光强传感器。已经完成的研究是水培植物的物联网技术,可以监控和自动化根据水培植物需求个性化的植物营养设置。通过读取光强和温度传感器的数据对物联网工具进行测试的结果显示,水培植物水库中产生的紫外光强度与水温之间存在联系,即紫外光强度越高,水温越高,反之亦然。此外,其他因素是水培植物周围的天气和气候条件。物联网数据存储在云存储中,需要支付租金。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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