Internet of things based humidity control and monitoring system

Ilkom Jurnal Ilmiah Pub Date : 2021-08-08 DOI:10.33096/ilkom.v13i2.852.175-186

Eka Purnama Harahap, Md. Asri Ngadi, U. Rahardja, F. Azhari, Kenita Zelina

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Proper monitoring shows more accurate crop data that enable the farmers to prevent crops from drying out. This system is expected to reduce the risk of crop failure as well as increase the agriculture productivity. 176 ILKOM Jurnal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 E-ISSN 2548-7779 Harahap, et. al. (Internet of things based humidity control and monitoring system) that Banten has low rainfall compared to the average rainfall in Indonesia which reaches 2,000 – 3,000 mm per year. In the agricultural sector, rainfall is very influential on increasing crop yields [7]. The low rainfall frequently causes failure of chili harvest in Banten. This is exacerbated when the dry season begins which makes many farmers' plants wither or die due to lack of water. There are many elements that must be considered in planting chili such as soil moisture, lack of soil nutrients and lack of supervision. In its maintenance, chili must be continuously monitored. It should be watered 3 times a day to avoid drying out [8]. This process causes farmers to usually sacrifice a lot of time and energy to see the physical development of chili plants. This conventional method is not efficient because there is no accurate data that shows the level of soil moisture needed by chilies to grow completely and avoid drying out. Recently, there are many sophisticated tools and technologies used to increase crop yields and minimize losses. One of them is the incorporation of Smart IoT technology. In agriculture, the application of IoT technology aims to increase yields and harvest quality in order to reduce costs [9][10]. This technology can support farmers in obtaining better information so that it can help them in making decisions [11][12]. Extensive researches have been conducted to improve the IoT in agriculture. Research [13] proposes the importance of wireless sensors in agriculture to increase productivity as well as the significance of precision agriculture nowadays. In addition, this study shows the architecture that is applied to analyze and monitor environmental parameters. On the other hand, study [14] suggests an IoT framework in agriculture. This research also shows the various layers of the agricultural market and how IoT can be applied to each layer. Additionally, it provides a variety of current technologies that can be useful related to IoT in agriculture. Another research [15] seeks to overcome problems in plants due to uneven rain circulation. In this study, monitoring of environmental parameters regarding pH and soil moisture was carried out using a control unit in the form of Arduino [16]. This activity is carried out simultaneously with the communication process. Research [17] presents an information system for agriculture by utilizing a distributed architecture in tracking all data in the agricultural production process. In addition, the system is made in implementing, searching, and processing data from agricultural production. Research [18] created a web-based decision support system that is connected to the WSN to assist in the control of irrigation canals. Sensors are used to obtain data on humidity, solar radiation, temperature, and rain. The use of IoT that leads to big data can produce important data. This is what underlies many studies that seek to turn this data into useful information and knowledge. Research [19], used an automatic irrigation system model based on the ATMEGA328 microcontroller which is equipped with a soil moisture sensor in the root zone of plants. The data and information obtained by the sensor are then sent to farmers via the GSM module which is used to find out the status of pumps installed on the plantation without visiting the location directly. The pump will automatically turn off when the water content in the soil reaches the desired threshold value and this message is sent to the farmer. Research [20] utilizes a wireless network with ZigBee technology in controlling humidity, soil and temperature. This system utilizes several components such as soil moisture sensor, temperature sensor, humidity sensor, ZigBee, PIC 18F458 microcontroller, water pump, fan, relay and buzzer. The system is designed to increase water use in plants. The GPRS module is used to transmit information to web pages and the data is displayed in graphical form. research [21] utilizes the IoT framework in monitoring soil moisture. Temperature sensors, humidity sensors and soil moisture sensors placed on plants are connected to the microcontroller to evaluate further information. Microcontroller is used as a central storage system and SMS as cloud-based storage in delivering messages to users. All the methods discussed above are similar in the use of wireless sensor nodes. However, they have differences in data storage and delivery to users. In research [19] the information submitted uses the GSM module so that the data obtained is not real-time. Likewise, the information conveyed in research [20] employs the GPRS module where the speed of data transmission is still very low. In [21] the data transmission process is still via SMS and this is not efficient in normal use. The system will continue to send many SMS per minute regarding plant data to the user causing inconveniences. Therefore, this research will focus on the application of the IoT framework in agriculture that can deliver crop data to farmers more quickly via the internet, and can be viewed in real-time. This study utilizes the Soil Moisture Sensor and DHT22 Sensor where the data is sent to a database via the internet for later use as data collection and processing [22]. The novelties of this study are given as follows. 1. Creating a tool that can help in monitoring chili plants. 2. Connecting the tool to the internet in collecting monitoring data. 3. The collected data will be analyzed and displayed on the cloud server in the form of graphs, analogues, and water indicators on soil moisture levels. 4. Plant can be monitored in real time through the website, both public and private channels. This research uses Soil Moisture Sensor and DHT22 Sensor, which are used in monitoring soil moisture, temperature and air humidity of chili plants. The sensor data collected will be processed and then sent to the cloud server via the internet which will then be used as data collection and processing. This study aims to create a system to assist farmers in monitoring their crops in real-time via the internet anywhere and anytime, either through public or E-ISSN 2548-7779 ILKOM Jurnal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 177 Harahap, et. al. (Internet of things based humidity control and monitoring system) private channels. This data will provide information if the plant lacks of water or the temperature of the plantation is too hot so that adequate watering can be done. Method The proposed system is a monitoring tool in agriculture to improve the quality and quantity of farmers' crops by measuring soil moisture, temperature, and air humidity without direct human assistance. By using the automatic watering systems, the level of soil moisture is urgent to be estimated. The measurement of soil moisture level can be carried out by taking into account the wet and the dry basis moisture content.","PeriodicalId":33690,"journal":{"name":"Ilkom Jurnal Ilmiah","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ilkom Jurnal Ilmiah","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.33096/ilkom.v13i2.852.175-186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 5

Abstract

This study proposes smart monitoring by utilizing IoT in agriculture which aims to assist farmers in monitoring crops in order to reduce the risk of failure. Quantitative method was employed to collect data from the Soil Moisture Sensor & DHT22 which are to read and write data that can be monitored on a cloud server or csv file to evaluate the risk. This monitoring system is created using the Python programming language by utilizing the Raspberry Pi as a microprocessor. The result of this study is data acquisition that is connected to the internet. Data can be accessed at Thingspeak to show indications and crop yields. Analogue form and indicators of water in soil moisture are indicated by colored marks. Proper monitoring shows more accurate crop data that enable the farmers to prevent crops from drying out. This system is expected to reduce the risk of crop failure as well as increase the agriculture productivity. 176 ILKOM Jurnal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 E-ISSN 2548-7779 Harahap, et. al. (Internet of things based humidity control and monitoring system) that Banten has low rainfall compared to the average rainfall in Indonesia which reaches 2,000 – 3,000 mm per year. In the agricultural sector, rainfall is very influential on increasing crop yields [7]. The low rainfall frequently causes failure of chili harvest in Banten. This is exacerbated when the dry season begins which makes many farmers' plants wither or die due to lack of water. There are many elements that must be considered in planting chili such as soil moisture, lack of soil nutrients and lack of supervision. In its maintenance, chili must be continuously monitored. It should be watered 3 times a day to avoid drying out [8]. This process causes farmers to usually sacrifice a lot of time and energy to see the physical development of chili plants. This conventional method is not efficient because there is no accurate data that shows the level of soil moisture needed by chilies to grow completely and avoid drying out. Recently, there are many sophisticated tools and technologies used to increase crop yields and minimize losses. One of them is the incorporation of Smart IoT technology. In agriculture, the application of IoT technology aims to increase yields and harvest quality in order to reduce costs [9][10]. This technology can support farmers in obtaining better information so that it can help them in making decisions [11][12]. Extensive researches have been conducted to improve the IoT in agriculture. Research [13] proposes the importance of wireless sensors in agriculture to increase productivity as well as the significance of precision agriculture nowadays. In addition, this study shows the architecture that is applied to analyze and monitor environmental parameters. On the other hand, study [14] suggests an IoT framework in agriculture. This research also shows the various layers of the agricultural market and how IoT can be applied to each layer. Additionally, it provides a variety of current technologies that can be useful related to IoT in agriculture. Another research [15] seeks to overcome problems in plants due to uneven rain circulation. In this study, monitoring of environmental parameters regarding pH and soil moisture was carried out using a control unit in the form of Arduino [16]. This activity is carried out simultaneously with the communication process. Research [17] presents an information system for agriculture by utilizing a distributed architecture in tracking all data in the agricultural production process. In addition, the system is made in implementing, searching, and processing data from agricultural production. Research [18] created a web-based decision support system that is connected to the WSN to assist in the control of irrigation canals. Sensors are used to obtain data on humidity, solar radiation, temperature, and rain. The use of IoT that leads to big data can produce important data. This is what underlies many studies that seek to turn this data into useful information and knowledge. Research [19], used an automatic irrigation system model based on the ATMEGA328 microcontroller which is equipped with a soil moisture sensor in the root zone of plants. The data and information obtained by the sensor are then sent to farmers via the GSM module which is used to find out the status of pumps installed on the plantation without visiting the location directly. The pump will automatically turn off when the water content in the soil reaches the desired threshold value and this message is sent to the farmer. Research [20] utilizes a wireless network with ZigBee technology in controlling humidity, soil and temperature. This system utilizes several components such as soil moisture sensor, temperature sensor, humidity sensor, ZigBee, PIC 18F458 microcontroller, water pump, fan, relay and buzzer. The system is designed to increase water use in plants. The GPRS module is used to transmit information to web pages and the data is displayed in graphical form. research [21] utilizes the IoT framework in monitoring soil moisture. Temperature sensors, humidity sensors and soil moisture sensors placed on plants are connected to the microcontroller to evaluate further information. Microcontroller is used as a central storage system and SMS as cloud-based storage in delivering messages to users. All the methods discussed above are similar in the use of wireless sensor nodes. However, they have differences in data storage and delivery to users. In research [19] the information submitted uses the GSM module so that the data obtained is not real-time. Likewise, the information conveyed in research [20] employs the GPRS module where the speed of data transmission is still very low. In [21] the data transmission process is still via SMS and this is not efficient in normal use. The system will continue to send many SMS per minute regarding plant data to the user causing inconveniences. Therefore, this research will focus on the application of the IoT framework in agriculture that can deliver crop data to farmers more quickly via the internet, and can be viewed in real-time. This study utilizes the Soil Moisture Sensor and DHT22 Sensor where the data is sent to a database via the internet for later use as data collection and processing [22]. The novelties of this study are given as follows. 1. Creating a tool that can help in monitoring chili plants. 2. Connecting the tool to the internet in collecting monitoring data. 3. The collected data will be analyzed and displayed on the cloud server in the form of graphs, analogues, and water indicators on soil moisture levels. 4. Plant can be monitored in real time through the website, both public and private channels. This research uses Soil Moisture Sensor and DHT22 Sensor, which are used in monitoring soil moisture, temperature and air humidity of chili plants. The sensor data collected will be processed and then sent to the cloud server via the internet which will then be used as data collection and processing. This study aims to create a system to assist farmers in monitoring their crops in real-time via the internet anywhere and anytime, either through public or E-ISSN 2548-7779 ILKOM Jurnal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 177 Harahap, et. al. (Internet of things based humidity control and monitoring system) private channels. This data will provide information if the plant lacks of water or the temperature of the plantation is too hot so that adequate watering can be done. Method The proposed system is a monitoring tool in agriculture to improve the quality and quantity of farmers' crops by measuring soil moisture, temperature, and air humidity without direct human assistance. By using the automatic watering systems, the level of soil moisture is urgent to be estimated. The measurement of soil moisture level can be carried out by taking into account the wet and the dry basis moisture content.

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基于物联网的湿度控制与监测系统

本研究提出通过在农业中利用物联网进行智能监控，旨在帮助农民监控作物，以降低失败的风险。采用定量方法从土壤湿度传感器& DHT22中收集数据，读取和写入可在云服务器或csv文件上监控的数据，以评估风险。本监控系统是利用树莓派作为微处理器，使用Python编程语言创建的。这项研究的结果是连接到互联网的数据采集。可以在Thingspeak上访问数据，以显示指示和作物产量。土壤水分中水分的模拟形式和指标用彩色标记表示。适当的监测显示出更准确的作物数据，使农民能够防止作物干枯。该系统有望降低作物歉收的风险，并提高农业生产力。176 ILKOM journal Ilmiah Vol. 13, No. 2, 2021年8月，pp. 175-186 E-ISSN 2548-7779 Harahap等(基于物联网的湿度控制和监测系统)，与印度尼西亚的平均降雨量相比，万腾的降雨量较低，每年可达2,000 - 3,000毫米。在农业部门，降雨对提高作物产量有很大的影响。降雨少经常导致万丹辣椒歉收。当旱季开始时，由于缺水，许多农民的植物枯萎或死亡，这种情况更加严重。种植辣椒必须考虑土壤水分、土壤养分缺乏、缺乏监管等诸多因素。在维护辣椒的过程中，必须对其进行持续监控。每天要浇水3次，以免晒干。这个过程导致农民通常牺牲大量的时间和精力来观察辣椒植物的物理发育。这种传统的方法并不有效，因为没有准确的数据显示辣椒完全生长和避免干燥所需的土壤水分水平。最近，有许多复杂的工具和技术用于提高作物产量和减少损失。其中之一是智能物联网技术的结合。在农业领域，物联网技术的应用旨在提高产量和收获质量，从而降低成本。这项技术可以帮助农民获得更好的信息，从而帮助他们做出决策。人们已经开展了广泛的研究，以改善农业中的物联网。研究[13]提出了无线传感器在农业中提高生产力的重要性，以及当今精准农业的意义。此外，本研究还展示了用于分析和监测环境参数的体系结构。另一方面，研究b[14]提出了一个农业物联网框架。这项研究还显示了农业市场的各个层面，以及物联网如何应用于每一层。此外，它还提供了各种与农业物联网相关的现有技术。另一个研究b[15]试图克服由于雨水循环不均匀而导致的植物问题。在本研究中，使用Arduino[16]控制单元对pH和土壤湿度等环境参数进行监测。该活动与沟通过程同时进行。研究[17]提出了一种利用分布式体系结构跟踪农业生产过程中所有数据的农业信息系统。此外，该系统还实现了对农业生产数据的实现、查询和处理。研究b[18]创建了一个基于网络的决策支持系统，该系统与无线传感器网络相连，以协助控制灌溉渠。传感器用于获取湿度、太阳辐射、温度和降雨等数据。使用导致大数据的物联网可以产生重要数据。这是许多试图将这些数据转化为有用信息和知识的研究的基础。研究[19]，采用了一种基于ATMEGA328单片机的自动灌溉系统模型，该模型在植物根区安装了土壤湿度传感器。传感器获得的数据和信息随后通过GSM模块发送给农民，该模块用于查找安装在种植园上的泵的状态，而无需直接访问该位置。当土壤中的含水量达到所需的阈值时，泵将自动关闭，并将此信息发送给农民。[20]研究利用无线网络ZigBee技术来控制湿度、土壤和温度。该系统采用了土壤湿度传感器、温度传感器、湿度传感器、ZigBee、PIC 18F458单片机、水泵、风扇、继电器和蜂鸣器等组件。该系统旨在增加工厂的用水。本研究提出通过在农业中利用物联网进行智能监控，旨在帮助农民监控作物，以降低失败的风险。采用定量方法从土壤湿度传感器& DHT22中收集数据，读取和写入可在云服务器或csv文件上监控的数据，以评估风险。本监控系统是利用树莓派作为微处理器，使用Python编程语言创建的。这项研究的结果是连接到互联网的数据采集。可以在Thingspeak上访问数据，以显示指示和作物产量。土壤水分中水分的模拟形式和指标用彩色标记表示。适当的监测显示出更准确的作物数据，使农民能够防止作物干枯。该系统有望降低作物歉收的风险，并提高农业生产力。176 ILKOM journal Ilmiah Vol. 13, No. 2, 2021年8月，pp. 175-186 E-ISSN 2548-7779 Harahap等(基于物联网的湿度控制和监测系统)，与印度尼西亚的平均降雨量相比，万腾的降雨量较低，每年可达2,000 - 3,000毫米。在农业部门，降雨对提高作物产量有很大的影响。降雨少经常导致万丹辣椒歉收。当旱季开始时，由于缺水，许多农民的植物枯萎或死亡，这种情况更加严重。种植辣椒必须考虑土壤水分、土壤养分缺乏、缺乏监管等诸多因素。在维护辣椒的过程中，必须对其进行持续监控。每天要浇水3次，以免晒干。这个过程导致农民通常牺牲大量的时间和精力来观察辣椒植物的物理发育。这种传统的方法并不有效，因为没有准确的数据显示辣椒完全生长和避免干燥所需的土壤水分水平。最近，有许多复杂的工具和技术用于提高作物产量和减少损失。其中之一是智能物联网技术的结合。在农业领域，物联网技术的应用旨在提高产量和收获质量，从而降低成本。这项技术可以帮助农民获得更好的信息，从而帮助他们做出决策。人们已经开展了广泛的研究，以改善农业中的物联网。研究[13]提出了无线传感器在农业中提高生产力的重要性，以及当今精准农业的意义。此外，本研究还展示了用于分析和监测环境参数的体系结构。另一方面，研究b[14]提出了一个农业物联网框架。这项研究还显示了农业市场的各个层面，以及物联网如何应用于每一层。此外，它还提供了各种与农业物联网相关的现有技术。另一个研究b[15]试图克服由于雨水循环不均匀而导致的植物问题。在本研究中，使用Arduino[16]控制单元对pH和土壤湿度等环境参数进行监测。该活动与沟通过程同时进行。研究[17]提出了一种利用分布式体系结构跟踪农业生产过程中所有数据的农业信息系统。此外，该系统还实现了对农业生产数据的实现、查询和处理。研究b[18]创建了一个基于网络的决策支持系统，该系统与无线传感器网络相连，以协助控制灌溉渠。传感器用于获取湿度、太阳辐射、温度和降雨等数据。使用导致大数据的物联网可以产生重要数据。这是许多试图将这些数据转化为有用信息和知识的研究的基础。研究[19]，采用了一种基于ATMEGA328单片机的自动灌溉系统模型，该模型在植物根区安装了土壤湿度传感器。传感器获得的数据和信息随后通过GSM模块发送给农民，该模块用于查找安装在种植园上的泵的状态，而无需直接访问该位置。当土壤中的含水量达到所需的阈值时，泵将自动关闭，并将此信息发送给农民。[20]研究利用无线网络ZigBee技术来控制湿度、土壤和温度。该系统采用了土壤湿度传感器、温度传感器、湿度传感器、ZigBee、PIC 18F458单片机、水泵、风扇、继电器和蜂鸣器等组件。该系统旨在增加工厂的用水。 GPRS模块用于将信息传输到网页上，并以图形形式显示数据。研究b[21]利用物联网框架监测土壤湿度。放置在植物上的温度传感器、湿度传感器和土壤湿度传感器与微控制器相连，以评估进一步的信息。微控制器作为中央存储系统，SMS作为云存储向用户传递消息。以上讨论的所有方法在无线传感器节点的使用上都是相似的。但是，它们在数据存储和向用户交付方面存在差异。在研究b[19]中，信息提交使用GSM模块，因此获得的数据不是实时的。同样，研究b[20]中所传递的信息也采用了GPRS模块，数据传输速度仍然很低。在b[21]中，数据传输过程仍然是通过SMS，这在正常使用中效率不高。系统将继续每分钟向用户发送许多条有关工厂数据的短信，造成不便。因此，本研究将侧重于物联网框架在农业中的应用，该框架可以通过互联网更快地向农民提供作物数据，并可以实时查看。本研究利用土壤湿度传感器和DHT22传感器，通过互联网将数据发送到数据库，供以后进行数据收集和处理[22]。本研究的新颖之处如下。1. 创造一种可以帮助监测辣椒植物的工具。2. 将工具连接到互联网，收集监控数据。3.收集到的数据将被分析并在云服务器上以图表、模拟物和土壤湿度指标的形式显示。4. 工厂可以通过网站进行实时监控，包括公共和私人渠道。本研究采用土壤水分传感器和DHT22传感器，分别用于辣椒植株土壤水分、温度和空气湿度的监测。收集到的传感器数据将被处理，然后通过互联网发送到云服务器，云服务器将被用作数据收集和处理。本研究旨在创建一个系统，帮助农民通过公共或E-ISSN 2548-7779 ILKOM journal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 177 Harahap等(基于物联网的湿度控制和监测系统)私人渠道，随时随地通过互联网实时监测他们的作物。这些数据将提供信息，如果植物缺水或种植园的温度太热，可以进行适当的浇水。方法该系统是一种农业监测工具，通过测量土壤湿度、温度和空气湿度来提高农民作物的质量和数量，而无需人工直接帮助。利用自动浇水系统，土壤水分水平是迫切需要估计的。土壤水分水平的测量可以通过考虑湿基和干基含水量来进行。 GPRS模块用于将信息传输到网页上，并以图形形式显示数据。研究b[21]利用物联网框架监测土壤湿度。放置在植物上的温度传感器、湿度传感器和土壤湿度传感器与微控制器相连，以评估进一步的信息。微控制器作为中央存储系统，SMS作为云存储向用户传递消息。以上讨论的所有方法在无线传感器节点的使用上都是相似的。但是，它们在数据存储和向用户交付方面存在差异。在研究b[19]中，信息提交使用GSM模块，因此获得的数据不是实时的。同样，研究b[20]中所传递的信息也采用了GPRS模块，数据传输速度仍然很低。在b[21]中，数据传输过程仍然是通过SMS，这在正常使用中效率不高。系统将继续每分钟向用户发送许多条有关工厂数据的短信，造成不便。因此，本研究将侧重于物联网框架在农业中的应用，该框架可以通过互联网更快地向农民提供作物数据，并可以实时查看。本研究利用土壤湿度传感器和DHT22传感器，通过互联网将数据发送到数据库，供以后进行数据收集和处理[22]。本研究的新颖之处如下。1. 创造一种可以帮助监测辣椒植物的工具。2. 将工具连接到互联网，收集监控数据。3.收集到的数据将被分析并在云服务器上以图表、模拟物和土壤湿度指标的形式显示。4. 工厂可以通过网站进行实时监控，包括公共和私人渠道。本研究采用土壤水分传感器和DHT22传感器，分别用于辣椒植株土壤水分、温度和空气湿度的监测。收集到的传感器数据将被处理，然后通过互联网发送到云服务器，云服务器将被用作数据收集和处理。本研究旨在创建一个系统，帮助农民通过公共或E-ISSN 2548-7779 ILKOM journal Ilmiah Vol. 13, No. 2, August 2021, pp. 175-186 177 Harahap等(基于物联网的湿度控制和监测系统)私人渠道，随时随地通过互联网实时监测他们的作物。这些数据将提供信息，如果植物缺水或种植园的温度太热，可以进行适当的浇水。方法该系统是一种农业监测工具，通过测量土壤湿度、温度和空气湿度来提高农民作物的质量和数量，而无需人工直接帮助。利用自动浇水系统，土壤水分水平是迫切需要估计的。土壤水分水平的测量可以通过考虑湿基和干基含水量来进行。

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来源期刊

Ilkom Jurnal Ilmiah

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审稿时长

4 weeks