Smart Greenhouse System for Cultivation of Chili (Capsicum Annum L.) with Raspberry Pi 3B Based on MQTT Protocol

Muhammad Alvito Aditya, Nur Rokhman, M. R. Effendi, Sugih Gumilar, P. Alqinsi, N. Ismail
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Abstract

Indonesia is the largest agrarian country in the world with abundant natural resources, especially in the plantation sector. The greenhouse concept can be developed by adding a smart greenhouse system with Internet of Things (IoT) technology which can accelerate an accurate and expected plant cultivation system. This study introduces a smart greenhouse system for chili cultivation based on the IoT using website technology of NodeJS as an application interface and MongoDB as a database. The system that has been developed consists of several sensors designed to collect information related to the environmental conditions of the greenhouse. These sensors are Total Dissolved Solid/TDS (water turbidity) sensor, Dissolved Oxygen Sensor (Oxygen content), DHT11 (air temperature and humidity), pH sensor (soil pH), soil moisture sensor (soil moisture), and ultrasonic sensor (to measure the distance from the water surface). The system is developed using the Message Queuing Telemetry Transport (MQTT) protocol. Data from the sensor is delivered to the Raspberry Pi 3B and the server passes through the internet network to be stored in the database. Testing of the DHT11 sensor produces an average air temperature of 26°C and air humidity of 62% which affects the growth of chili plants while the results of testing the water pH data are 6.36 mg/l. The value of the oxygen content (Dissolved Oxygen (DO)) is 0 - 2.141 ppm while the value of the Water Level data in the reservoir is 14.7 - 19.2 cm. Testing of water turbidity uses TDS (Total Dissolved Solids) sensor. This test is performed to ensure good water quality for chili plants which is in the range of 3 - 3.5 ppm. Messages sent by MQTT have 100% delivery success rate, smaller payload size compared to HTTP, and lower device power consumption.
基于MQTT协议的树莓派3B辣椒智能温室系统
印度尼西亚是世界上最大的农业国,拥有丰富的自然资源,特别是在种植园方面。温室概念可以通过添加具有物联网(IoT)技术的智能温室系统来开发,该系统可以加速精确和预期的植物栽培系统。本研究以NodeJS网站技术为应用接口,MongoDB为数据库,介绍了一种基于物联网的辣椒种植智能大棚系统。该系统由几个传感器组成,旨在收集与温室环境条件有关的信息。这些传感器是总溶解固体/TDS(水浊度)传感器,溶解氧传感器(氧含量),DHT11(空气温度和湿度),pH传感器(土壤pH值),土壤水分传感器(土壤湿度),超声波传感器(测量距离水面的距离)。该系统采用消息队列遥测传输(MQTT)协议开发。传感器的数据传递给树莓派3B,服务器通过internet网络存储在数据库中。DHT11传感器测试产生的平均空气温度为26°C,空气湿度为62%,影响辣椒植物的生长,而水pH值测试结果为6.36 mg/l。溶解氧(DO)值为0 ~ 2.141 ppm,水库水位数据值为14.7 ~ 19.2 cm。测试水的浊度使用TDS(总溶解固体)传感器。这个测试是为了确保辣椒植物的水质在3 - 3.5 ppm的范围内。与HTTP相比,MQTT发送的消息具有100%的传递成功率,更小的有效负载大小和更低的设备功耗。
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