Rancang Bangun Sistem Monitoring KelembapanTanah dengan Konsep Smart Farming untuk Budidaya Tanaman Cabai Rawit Berbasis Internet of Things (IOT)

Siti Nurhalimah, Ahmad Martin Yusa, Arif Fahmi
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Abstract

The design of a Soil moisture monitoring system with the Smart Farming Concept for IoT-based Chili Cultivation is a system design tool used to monitor Soil moisture in cayenne pepper cultivation. The monitoring system can determine Soil moisture conditions by monitoring Soil moisture information using IoT-based Microcontroller technology so that farmers can monitor the growth of cayenne pepper plants without the need to come to the Greenhouse location to monitor. The design of this monitoring systemuses a Soil moisture sensor. Where the Soil moisture sensor works is to monitor in real-time   the state of Soil moisture in a Greenhouse. The classification of Soil moisture on soil quality so that the growth of cayenne pepper plants does not experience problems for dry soil and 61% to 100% for wet soil. The optimal Soil moisture content for cayenne pepper plant growth is in the range of 60% to 70% moist. The program flow to create a Soil moisture monitoring system for IoT-based chili cultivation goes through 3 main stages, namely the initialization,   setup, and loop stages so that it can produce a display on the Soil moisture monitoring system application in real time. The results of the design of a Soil moisture monitoring tool based on trials show the optimal Soil moisture value at an average humidity of 63.5% and automatic watering will be carried out by the system when the Soil moisture level decreases from 60% so that it can be concluded that the IoT- based Soil moisture monitoring system can work well.
基于物联网辣椒种植智能农业理念的土壤湿度监测系统设计是一种用于辣椒种植土壤湿度监测的系统设计工具。该监测系统采用基于物联网的微控制器技术,通过监测土壤湿度信息来确定土壤湿度状况,这样农民就可以监测辣椒植物的生长情况,而无需来到温室所在地进行监测。本监测系统的设计采用了土壤湿度传感器。土壤湿度传感器的工作是实时监测温室土壤湿度的状态。土壤水分分级对土壤质量的影响,使辣椒在干燥土壤中生长不出现问题,在湿润土壤中生长61% ~ 100%。适宜辣椒生长的土壤含水量为60% ~ 70%。构建基于物联网辣椒种植的土壤湿度监测系统的程序流程主要经历初始化、设置和循环3个阶段,以便实时对土壤湿度监测系统应用进行显示。基于试验的土壤湿度监测工具设计结果表明,平均湿度为63.5%时土壤湿度最优,当土壤湿度从60%开始下降时,系统将自动浇水,因此基于物联网的土壤湿度监测系统可以很好地工作。
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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