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1
Sudaryanto, Aris, Yohanes Aditya Wisnu Wardana, and Agung Kridoyono. "Accuracy of DHT11 Temperature and Humidity Sensor In Egg Incubator." Informatics, Electrical and Electronics Engineering (Infotron) 4, no. 1 (2024): 1–6. http://dx.doi.org/10.33474/infotron.v4i1.20846.
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Temperature and humidity are two parameters that need to be considered in hatching eggs. The research results showed that the difference in egg temperature in the incubator gave a significant difference in fertility, mortality, and hatchability. One of the most widely used temperature and humidity sensors is the DHT11 sensor. The objective of this research is to determine the accuracy of the DHT11 sensor in measuring temperature and humidity. This study uses the UT333 sensor as a reference for measuring temperature and humidity. The temperature measurement test is done with the DHT11 and UT333 sensors measuring the temperature at the same place and time, and then the difference is calculated as an error value. Humidity testing is done by the DHT11 and UT333 sensors measuring humidity at the same time and place and using a humidifier to provide variations in humidity levels. The difference in humidity between DHT11 and UT333 was then calculated as an error. Each temperature and humidity test was repeated 25 times. Based on all the tests, it was found that the DHT11 sensor has an average error value of 3.16% or an accuracy of 96.84% for temperature measurements and an average error of 7.07% or an accuracy of 92.93% for humidity measurements. The average success value for temperature and humidity testing is 94.89%.
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Rahayu, Intan Dwi, and Mhd Basri. "Automatic Fan Design Based on Microcontroller with Combination of DHT11 Sensor and Motion Sensor." Hanif Journal of Information Systems 2, no. 1 (2024): 31–37. http://dx.doi.org/10.56211/hanif.v2i1.27.
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The development of a more sophisticated fan is a necessity. One way to improve fan performance is to add temperature and humidity sensors, so that the fan can rotate automatically according to the desired temperature and humidity. By using the Arduino Nano microcontroller, DHT11 sensor and Motion PIR sensor, the fan can be controlled automatically and can rotate at a speed set according to the temperature and humidity measured by the DHT11 sensor, and can detect whether there are people inside by using the Motion PIR sensor. That way, the fan can work more effectively and efficiently in maintaining coolness and air quality in the room. In addition, the use of microcontrollers, DHT11 sensors, and PIR motion sensors also makes it easier for users to manage fans and maintain temperature and humidity in the room more easily. Therefore, by utilizing the DHT11 sensor and PIR sensor and controlled by the Arduino Nano microcontroller. The test results obtained are the fan will turn on in a temperature condition of 30oc or there are people in the room and the fan will turn off if it does not meet these conditions. With a system like this it will extend the life of the fan and make it practical in turning on and off the fan.
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Ritter, Greice Scherer, Eliezer Oliveira Cavalheiro, Ronaldo Barcelos e. Silva, Leonardo Da Rosa Schmidt, and Silvana Maldaner. "Medidas de temperatura em ambiente interno usando a Plataforma Arduino." Ciência e Natura 42 (February 7, 2020): 35. http://dx.doi.org/10.5902/2179460x40637.
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The paper presents the results of a study with temperature measurements using low cost sensors connected to an Arduino microcontroller. To perform the study, three sensors widely used for monitoring environmental conditions with Arduino. The selected sensors were the LM35DZ (analog sensor) and DHT11 and DHT22 (digital sensors). The LM35DZ sensor is a sensor known to be an analog sensor that has linear temperature response with voltage. The DHT11 sensor measures temperature and humidity simultaneously. To measure temperature the DHT11 sensor uses a temperature-sensitive resistor and has a measurement range from 0 to 50 °C, with an uncertainty ± 2% ° C. The DHT22 has a measurement range -40 to 80 ° C and an uncertainty ± 1% ° C. Simultaneous temperature measurements with the three sensors showed good performance in indoor situations, showing the maximum and minimum temperatures of a daily temperature cycle.
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Lestari, Puji, Tasmi, and Fery Antony. "SISTEM PENYIRAMAN BUDIDAYA TANAMAN CABAI BERDASARKAN PENGUKURAN SUHU DAN KELEMBABAN TANAH." Journal of Intelligent Networks and IoT Global 1, no. 1 (2023): 20–32. http://dx.doi.org/10.36982/jinig.v1i1.3080.
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The process of growing peppers requires extra attention important to maintaining soil moisture. The intensity of temperature and humidity in chili plants can make it easier for farmers to measure soil conditions and make it easier for farmers to monitor the quality of the chili they grow. In this study, the progression of an Internet of Things (IoT)-based system was performed out. To monitor and find out the temperature and humidity and can carry out the plant watering system automatically. NodeMcu ESp32 microcontroller as a data center, with temperature values taken from DHT11 sensors and humidity values from Soil Moisture sensors. This soil moisture control system works at temperatures of more than 20°C and humidity levels of more than 70% so that the system can control the water pump according to the measured level of soil moisture. From the results of experiments that have been carried out testing chili plants with a Soil Moisture sensor, the dry soil output value is >=70% with a temperature from the DHT11 sensor of 33.30 °C and a wet soil output value of <=60% with a temperature from the DHT11 sensor of 29.00°C has an accurate value with what has been tested with several conditions that have been made previously
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Alfith, Alfith, Asnal Effendi, Aswir Premadi, and Yogi Saputra. "PENGUJIAN SUHU DAN KELEMBAPAN PADA ALAT PENGERING GABAH MENGGUNANAKAN SENSOR DHT11." Ensiklopedia of Journal 4, no. 2 (2022): 243–47. http://dx.doi.org/10.33559/eoj.v4i2.1074.
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Many kinds of sensors for measuring temperature or humidity, such as LM35, DS18S20 and DHT11. To measure temperature and humidity in mushrooms, you can choose the DHT11 sensor. The DHT11 has a calibrated digital output. This sensor consists of a resistive type humidity measuring component and temperature measurement via NTC and is connected to 8 bits, so that it gives quite good results, sufficient response speed, has good resistance to interference. The interface used is a single write serial interface which is quite fast and easy. The sensor size is small, the need for low power consumption and is able to transmit its output within a distance of 20 meters. The DHT11 sensor can be used for measuring room temperature, measuring incubator temperature and humidity and others. If the sensor distance is less than 20 meters, it is necessary to install a 5KΩ pull-up resistor on the data pin. Meanwhile, if the distance is more than 20 meters, it is necessary to adjust the size of the pull up resistor. The power supply required for this DHT11 ranges from 3.5V to 5V. Access to the sensor is only allowed more than 1 second after the first power supply is provided.
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Haller, Manju. "DHT11 Sensor: A Comprehensive Study on Temperature and Humidity Sensor." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem29310.
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The DHT11 sensor is a fundamental component in the realm of sensor technology, offering a simple yet effective solution for measuring temperature and humidity. This paper presentation aims to provide a comprehensive overview of the DHT11 sensor, highlighting its key attributes, operating principles, and practical applications. It is a compact and affordable sensor that utilizes a capacitive humidity sensor and a thermistor to accurately measure both temperature and humidity. Its digital output makes it easy to interface with microcontrollers and data acquisition systems, making it a popular choice for DIY enthusiasts, hobbyists, and professionals alike. Keywords: 1.Arduino IDE program software. 2.Development board ESP8266. 3.DHT 11
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S., Dharani, Gayathri P., Muthukumar M., and Menaga S. "Measurement of Temperature and Humidity Using DHT11 Sensor." Journal of Advancement in Communication System 2, no. 3 (2020): 1–3. https://doi.org/10.5281/zenodo.3605533.
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<em>Temperature and humidity are common factors of environment. Humidity is a measure of water vapor present in air. The level of temperature and humidity in air affects various physical, chemical, and biological processes. The measurement of these parameters could be effectively employed in agriculture and horticulture. An optimum level of temperature and humidity is required for better growth of plants and so, when these parameters are known, it would be easier to predict the most appropriate level of water to be irrigated according to the weather and climate. The technology can be implemented by using arduino, I2C module, LCD display, and a DHT11 sensor</em><em>.</em><em> The DHT11 sensor senses the changes in temperature and humidity observed in the environment. This technology is more reliable and more stable. The response is fast with outstanding quality. The wired network can be replaced by using a sensor for measurement of temperature as well as humid content more accurately and without hazardous problems<strong>. </strong></em>
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Adi, Puput Dani Prasetyo. "ZigBee Test Performance with DHT11 Temperature sensor." Internet of Things and Artificial Intelligence Journal 1, no. 1 (2021): 50–62. http://dx.doi.org/10.31763/iota.v1i1.360.
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This study aims to examine the ability and Performance or Quality of Services of the IEEE 802.15.4 or ZigBee Radio Frequency module on the sensor node ZigBee based. Furthermore, ZigBee's communication capabilities i.e., Tree, Star, and mesh networking were developed on the internet or Internet of Thing using RaspBerryPi 4 as the Internet Gateway. The sensors used e.g., Pulse sensor and temperature and Humidity Sensor. Moreover, the Spectrum Analyzer is used to measure the Radio Frequency Value (-dBm) per Channel (CH1 to CH12) on the Zigbee module (EDs and CN) communication at different distances,on the Mesh or Tree ZigBee Communication, ZR can be used, at Point to Point ZigBee, the role of ZR is neglected. Energy efficiency battery ZigBee sensor nodes need to be considered to obtain sensor nodes Long Life, moreover, RSSI (-dBm) is the key to the analysis of sensor node communication systems on different sensor node clustering, including Throughput, PacketLoss sensor data, and data analysis on Application Server.
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Fathurrahmani, Fathurrahmani, Wiwik Kusrini, Khairul Anwar Hafizd, and Arif Supriyanto. "Penerapan Sistem Tertanam untuk Monitoring Kandang Ayam Broiler." MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer 19, no. 1 (2019): 53–61. http://dx.doi.org/10.30812/matrik.v19i1.490.
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Broilers are fast growing animals that are influenced by environmental conditions. Routine monitoring is needed, especially temperature, humidity and ammonia levels. In this study, the authors propose an embedded system that can detect temperature, humidity and ammonia levels. This system works by sending temperature, humidity and ammonia gas information routinely once a day to the henhouse operator via text message (SMS), or information will be sent if environmental conditions are above/below the threshold. The embedded system was built using microcontrollers, temperature and humidity sensors as well as ammonia sensors. The microcontroller uses Arduino. Temperature and humidity sensors use DHT11, while the ammonia level sensor uses MQ-135. Embedded system communication uses the GSM SIM800L module, this module is responsible for sending the henhouse environmental conditions to the operator via SMS. Testing is done in two stages, namely functionality and connectivity. The functionality test proves that the sensor can produce information on temperature, humidity and ammonia levels by comparing it with conventional tools. The connectivity test proves that the GSM SIM800L module can send monitoring data every day and certain conditions.
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Kalagate, N. K., and A. A. Joshi. "Weather Monitoring using IOT." Research and Applications: Embedded System 6, no. 1 (2023): 1–4. https://doi.org/10.5281/zenodo.7575549.
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<em>A weather monitoring can be described as a device, which provides us with the information of the weather in our nearby environment. This device provide details about the nearby environmental changes such as temperature, barometric pressure, humidity, etc. this device senses, pressure, humidity, light intensity, temperature. For example by using temperature and humidity we can measure humidification in environment. In addition to the above mentioned functionalities, we have also enabled to monitor the atmospheric pressure of the room. We can also monitor the rain value. We used ESP8266 based Wi-Fi module. The NodeMCU is connected to four sensors, including a raindrop module, a temperature and humidity sensor (DHT11), a pressure sensor (BMP180), and a light dependent resistor (LDR). Whenever these values exceed a chosen threshold limit for each an SMS, an E-mail published alerting the owner of the appliance.</em>
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Awaludin, Muhammad, Andi Yusika Rangan, and Amelia Yusnita. "Internet of Things (Iot) Based Temperature and Humidity Monitoring System in the Chemical Laboratory of the Samarinda Industry Standardization and Research Center." TEPIAN 2, no. 3 (2021): 85–93. http://dx.doi.org/10.51967/tepian.v2i3.344.
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Temperature and humidity are important things in a chemical laboratory. By utilizing the internet, operators can remotely monitor laboratory temperatures and humidity with the Internet of Things (IoT) system. The Internet of Things (IoT) system can make it easier for operators to monitor temperature and humidity in chemical laboratories wherever and whenever. DHT11 sensor which functions as a temperature and humidity detector, NodeMCU ESP8266 microcontroller which functions as a data processor so that the DHT11 sensor detection results can be displayed on the monitoring website so that operators can see directly the results of temperature and humidity measurements at the chemical laboratory. This research was conducted at the Samarinda Industrial Research and Standardization Center. Data collection methods used are literature study, interviews, and observations. While the system development method used is prototype. As well as the supporting software used by the Arduino Integrated Development Environment, XAMPP, and Sublime.
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Mochamad Choirul, Fu'ad, Atmiasri Atmiasri, and Wildan surya wijaya. "IMPLEMENTATION OF LIGHT CONTROL SYSTEM IN CHICKEN EGGINCUBATOR USING DHT 11 SENSOR AND ARDUINO UNO R3." BEST : Journal of Applied Electrical, Science, & Technology 6, no. 2 (2024): 15–18. http://dx.doi.org/10.36456/best.vol6.no2.9553.
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This research develops a prototype of a lamp setting system in a chicken incubator using DHT11 and Arduino Uno R3 sensors. The purpose of this system is to control the temperature and humidity inside the incubator automatically to create optimal conditions for hatching chicken eggs. The DHT11 sensor serves to measure temperature and humidity, while the Arduino Uno R3 is used as a microcontroller that processes data and regulates the heating lamp. This system works by comparing the sensor measurement results with a set setpoint value. If the temperature or humidity is outside the desired limits, the Arduino will turn the heating light on or off to return the ambient conditions to the optimal range. Tests show that this system is effective in maintaining the appropriate temperature and humidity, thus increasing the success rate of hatching chicken eggs. The results of this study show that the prototype developed can be a practical and efficient solution for theprocess of hatching chicken eggs
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Ma’arij, Dzakarasma Tazakka, and Anton Yudhana. "Temperature and Humidity Monitoring System in Internet of Things-based Solar Dryer Dome." Buletin Ilmiah Sarjana Teknik Elektro 5, no. 3 (2023): 323–35. https://doi.org/10.12928/biste.v5i3.8633.
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The village of Gerbosari has a program for cultivating spice rhizome plants as an effort to improve the economy. These plants are dried using a Solar Dryer Dome (SDD) as a solution to the rain-related issues. The SDD has an automatically controlled exhaust fan based on the measured temperature. Temperature and humidity readings are taken using DHT22 and DHT11 sensors, respectively. Weather conditions (clear or rainy) are detected using a rain sensor. Weather, temperature, and humidity monitoring are done through On The Spot (OTS) and Internet of Things (IoT) methods. OTS utilizes an LCD 16x2, while IoT utilizes the Blynk application and WhatsApp. The temperature errors for DHT22 and DHT11, respectively, are 1.572% and 0.721%, while the humidity errors are 5.223% for DHT22 and 3.214% for DHT11. If the error values approach 5% or more, program adjustments are necessary. Throughout the day, regardless of clear or rainy weather, the temperature inside the SDD is higher, and the humidity is lower than the temperature and humidity outside.
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Hadi, Sirojul, Radimas Putra Muhammad Davi Labib, and Parama Diptya Widayaka. "Perbandingan Akurasi Pengukuran Sensor LM35 dan Sensor DHT11 untuk Monitoring Suhu Berbasis Internet of Things." STRING (Satuan Tulisan Riset dan Inovasi Teknologi) 6, no. 3 (2022): 269. http://dx.doi.org/10.30998/string.v6i3.11534.
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<p><em><span>Temperature is an object of research that is often studied. Research on temperature is within the scope of control and monitoring. The process of controlling and monitoring temperature is influenced by the selection of the right temperature sensor. The temperature sensors that are often used are the LM35 sensor and the DHT11 sensor. The LM35 sensor has advantages in terms of a simple design and easy to implement, while the DHT11 sensor has the advantage because in one sensor package there are two functions, namely to measure air temperature and humidity. In this study, temperature measurement accuracy was carried out to facilitate researchers in determining the right temperature sensor. The data monitoring method uses the internet of things (IoT). The results of the research show that the DHT11 temperature sensor is more accurate and more stable than the LM35 temperature sensor. The results of the sensor test at room temperature, the DHT11 sensor has an accuracy rate of 97.21% while the LM35 sensor has an accuracy rate of 96.86%. While the results of the sensor test in the server room, the DHT11 sensor has an accuracy rate of 95.26%, while the LM35 sensor has an accuracy rate of 90.32%.</span></em></p>
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Susanto, Andri, and Rafie Fazri Sabah. "SISTEM MONITORING SUHU DAN KELEMBAPAN INCUBATOR LABI-LABI BERBASIS IOT." Jurnal Teknik Elektro 6, no. 2 (2022): 57. http://dx.doi.org/10.31000/jte.v6i2.9777.
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Labi-labi or softshell turtles (Testudines; Trionychidae) is a group of freshwater turtles. Fisheries statistics have recorded freshwater turtles as one of the fishery commodities since the 1990s. In maintaining the labi population, cultivation is needed, a little bit of cultivation due to the small number of hatching manually, to facilitate cultivation, monitoring and monitoring data from time to time nominal value of the temperature and humidity of the hatchery incubator, an IoT-based turtle incubator temperature and humidity monitoring tool was made. This tool consists of ESP8266, MIST MAKER, LCD, RELAY, Fan, Power Supply, Smartphone, and 3 sensors, namely DHT11 sensor, SOIL MOISTURE sensor, DS18B20 sensor as a zone reading area from the sensor and then will be connected to the Blynk application. 3 sensors, will send input humidity and temperature data to ESP8266, from ESP8266 then the data will be processed and sent and displayed to the Blynk application via the internet network. From this tool, the largest error value is 0.6, and the largest standard deviation is 0.085, so that the data error rate or tolerance of 0.5494% is obtained. Keyword : Temperature and humidity, ESP8266, Soil Moisture, Blynk
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Prasad, Dr K. Raghavendra, Dorebabu C, Somashekara T, Parasurama H, and Mehaboob Basha. "Wireless Sensor Networks based Remote Monitoring System for Agriculture." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 4237–38. http://dx.doi.org/10.22214/ijraset.2023.51237.
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Abstract: The network covers a wide domain and addresses multiple aspects in agriculture, such as soil moisture, temperature, and humidity. Therefore, issues of precision agriculture at the output of the network are analyzed using wireless technology. The system is equipped with sensors for soil moisture and DHT11 for relative temperature and humidity. Current wireless sensor networks are widely used in a range of applications, such as precision agriculture, healthcare, and smart cities.
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Shekokar, Prof Santosh R. "IOT Based Smart Agriculture System For Crop Monitoring And Management." International Scientific Journal of Engineering and Management 03, no. 04 (2024): 1–9. http://dx.doi.org/10.55041/isjem01668.
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The aim of this project presents a Low Cost GSM Based Automated Irrigation System Using Arduino, Sensors and GSM Module. We use GSM Module so the Module sending the data to the Thing-speak server where it acts as front end to observe the sensor dynamic values and we can check the status of the water pump. It also acts as back end to store the data. The prototype is design in such a way that it will pump the water into the field as per our requirement depending on the weather conditions. The sensors used in the system are DHT11 Sensor (for sensing both humidity and temperature), Water Flow Sensor, Soil Moisture Sensor. Key Words: Temperature, Humidity, Soil Moisture Sensor, Relay, Water Pump motor, Internet of things, Sim 800gsm module, etc.
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Balajee, Maram. "A framework for Predicting Temperature, Humidity Using Raspberri pi 3." J. of Advancement in Engineering and Technology 6, no. 2 (2018): 04. https://doi.org/10.5281/zenodo.1219170.
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Internet of Things (IoT) is used to control any electrical and electronic equipment embedded with software, sensors and network connectivity that enables the devices to collect and analyze data. Raspberry pi3 is a single-board computer that was designed using Python Programming language and can be controlled and accessed remotely through an Internet of Things platform. This project is about humidity and temperature monitoring system using Raspberry pi3 and IoT. DHT11 temperature and humidity sensor is used to collect the data of temperature, humidity and sends the information to the database using Raspberry pi3 model B. From the database, temperature and humidity values are then displayed on the screen. In addition to that, the limits are set for temperature and humidity values. This project is a kind of environmental condition monitoring.
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Haryanto, Budi, Nanang Ismail, and Eko Joni Pristianto. "Sistem Monitoring Suhu dan Kelembapan Secara Nirkabel pada Budidaya Tanaman Hidroponik." Jurnal Teknologi Rekayasa 3, no. 1 (2018): 47. http://dx.doi.org/10.31544/jtera.v3.i1.2018.47-54.
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Penelitian ini membahas sistem monitoring suhu dan kelembapan secara nirkabel dengan Xbee berbasis mikrokontroler yang dilakukan di tempat budidaya tanaman hidroponik. Mikrokontroler berfungsi sebagai pengontrol rangkaian elektronik yang dapat menyimpan program. Xbee berfungsi sebagai alat komunikasi nirkabel yang beroperasi pada frekuensi 2,4 Ghz dengan jarak jangkau mencapai 1.500 meter. Pada perancangan ini terdapat dua node, yaitu node pengirim dan node penerima. Node pengirim terdiri dari modul Arduino sebagai pengendali yang dihubungkan dengan sensor DHT11 sebagai masukan dan Xbee sebagai pengirim. Node penerima terdiri dari Xbee penerima yang dihubungkan pada modul Arduino sebagai pengolah data dan LCD untuk menampilkan data. Pada penelitian ini didapat hasil perbandingan sensor DHT11 dengan alat ukur Thermo-Hygro yaitu rata-rata error suhu 0,75℃ dan kelembapan 3%. Hasil pengujian empat unit sensor DHT11 di luar ruangan didapat nilai rata-rata suhu sebesar 28,94℃ dan kelembapan sebesar 59,6% dengan jarak jangkau Xbee mencapai 240 meter, sedangkan nilai rata-rata suhu dan kelembapan hasil pengujian di dalam ruangan yaitu 29,14℃ dan 58,86% dengan jarak jangkau Xbee mencapai 70 meter.Kata Kunci: sistem monitoring, suhu dan kelembaban, mikrokontroler, sensor, wirelessThis research discusses the temperature and humidity monitoring system wirelessly with Xbee based on microcontroller. Microcontroller is a chip that serves as a controller of an electronic circuit that can store the programs in it. XBee is a wireless communication device Zigbee part of the protocol that operates at a frequency of 2.4 GHz with a range of 1,500 meters. In this design, there are two nodes, namely the transmitter node and the receiver node. The transmitter node consists of Arduino module as a controller, which is connected with DHT 11 sensor as input, and Xbee as transmitter. Receiver node consists of a Xbee receiver connected to the Arduino as a data processor and LCD for displaying data. From the research results obtained DHT11 ratio sensor with the Thermo-Hygro which is the average error 0.75℃ temperature and humidity of 3%. For the test results of four sensors outdoor DHT11 obtained average value 28,94℃ temperature and humidity of 59.6% with a range Xbee reach 240 meters, while the average value of the temperature and humidity in the room test results are 29,14℃ and 58.86% with a range Xbee reach 70 meters. Keywords: monitoring system, temperature and humidity, microcontrollers, sensors, wireless
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Arkhan, Muhammad ghozi, and Zulhipni Reno Saputra Elsi. "Air Quality Monitoring System Based Internet Of Things." Brilliance: Research of Artificial Intelligence 4, no. 2 (2024): 669–73. https://doi.org/10.47709/brilliance.v4i2.4924.
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This research aims to develop an Internet of Things (IoT)-based air quality monitoring system using the ESP8266 module along with DHT11 and MQ135 sensors. The system is designed to monitor temperature, humidity, and the concentration of harmful gases in the air, with real-time results accessible through the Blynk application on Android devices. The DHT11 sensor measures temperature and humidity, while the MQ135 sensor detects air quality based on concentrations of harmful gases such as carbon dioxide (CO2) and ammonia. Data from these sensors is transmitted to an IoT platform for real-time display. The research methodology follows a prototype model, starting with planning, system modeling, hardware development, and finally, system testing. During testing, the DHT11 and MQ135 sensors demonstrated accuracy in measuring temperature, humidity, and pollutant levels. Results show that the system functions as expected, with sensors responsive to environmental changes such as increases in temperature or pollutant levels. Additionally, the Blynk platform allows users to monitor air quality remotely and receive notifications if air quality reaches hazardous levels. This system is expected to be applicable in environments that require continuous air quality monitoring, such as hospitals, offices, or other enclosed spaces. The study’s findings indicate that this IoT-based air quality monitoring system effectively detects rapid changes in air quality, contributing to environmental health efforts and raising public awareness about the importance of clean air.
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Gastiadi, Galang, M. Nanak Zakaria, and Ahmad Wilda Yulianto. "Design and Build a System to Minimize the Impact of Toluene Exposure on IoT-Based Workshop Workers." Jurnal Jartel Jurnal Jaringan Telekomunikasi 12, no. 4 (2022): 218–23. http://dx.doi.org/10.33795/jartel.v12i4.428.
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Toluene is one type of organic solvent that is widely used in industry. Organic solvents can have a negative impact on health when exposed to the human body through inhalation (breathing), digestion (swallowing) and adsorption (skin contact). This compound is widely used as a basic material for solvents, dyes, paints, resins, perfumes, nail polish, gasoline, glue, solvent thinner, immersion ink, and printing. The impact on each human will vary depending on the concentration, duration and toxicity of the solvent. The effects of exposure are generally long-term and short-term. Short-term effects include respiratory complaints and eye irritation in exposed humans. An ESP32 microcontroller, HCHO sensor, and DHT11 sensor were used in this study to construct a system to lessen the effects of toluene exposure on workshop personnel. Temperature and humidity sensors picked up by DHT11 have an average value for each node. Each node's average value for the temperature and humidity sensors detected by DHT11 is available. The average error value is categorized as accurate and good for nodes A and B, which are separated by 2 meters and 4 meters, respectively. Due to the DHT11's error rates, the temperature range is 20C and the humidity range is 5% RH.
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Surapati, Alex, Reza Satria Rinaldi, and Okta Wahyudi. "Perancangan Mesin Tetas Telur Otomatis Menggunakan Sensor Suhu dan Sensor Udara." JURNAL AMPLIFIER : JURNAL ILMIAH BIDANG TEKNIK ELEKTRO DAN KOMPUTER 10, no. 1 (2020): 18–25. http://dx.doi.org/10.33369/jamplifier.v10i1.15170.
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ABSTRACTThe design of quail egg incubators is intended to facilitate the hatching process. The heat source used in the incubator is produced from heaters that use incandescent lamps and humidifiers are used as humidity regulators. The temperature regulator uses a fan to maintain air circulation and reduce the temperature when the temperature has exceeded the setpoint. This tool is equipped with a DHT11 temperature and humidity sensor, an incubator motor is used for the egg turning process, a sound sensor is used to detect if an egg has hatched and a GSM module will send an SMS notification to the farmer. The whole system is controlled by Arduino Mega 2560. During the hatching period, the temperature needed to incubate quail eggs is 39oC and humidity is 60%. The eggs in the hatching machine are rotated once every 3 hours with a 45o rotation angle. This is so that the egg can be heated evenly. The hatching process takes 18 days, with a hatching success rate of 98% of 50 eggs. The use of power in the hatching machine is on average 62.44 watts up to 83.45 watts and for 1 hatching period for 18 days, that is 25.2392kWh.Keywords: Arduino Mega 2560, DHT11, humidifier, GSM module
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Masriwilaga, Ari Ajibekti, Tubagus Abdul Jabar Malik Al-hadi, Agus Subagja, and Sopian Septiana. "Monitoring System for Broiler Chicken Farms Based on Internet of Things (IoT)." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 7, no. 1 (2019): 1–13. http://dx.doi.org/10.34010/telekontran.v7i1.1641.
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In this study, the author made a monitoring system for dangerous gas levels, temperature and humidity in the chicken coop. This system can inform air quality in the form of ammonia gas, methane gas, temperature and humidity contained in the chicken coop and provide readings of gas data that are considered dangerous, unstable temperature and humidity to workers in the chicken coop and can be viewed on a platform basis. The system generally consists of two sensors, namely the DHT11 sensor to detect temperature and humidity in the chicken coop, and the MQ135 sensor to detect ammonia gas levels in the chicken coop, and connect to the internet network through the ESP8266 module with the Arduino Mega 2560 microcontroller which aims to upload data sensors to the Firebase web and displayed in graphical form as a means of information on the chicken coop. The test is carried out in three stages, namely connectivity, functionality, and delay. The connectivity test proves that ESP8266 can be connected to Access Points and internet networks, functionality tests prove that sensors can read gas, temperature and humidity and retrieve data. And lastly is testing delay, which is counting the length of the process from the beginning of sensor reading to data up to Firebase's Internet of Things (IoT) -based web. From the results of calculations that have been done in testing, it was found that the time needed for one shipment takes as much as 5-19 seconds. Of course, this time can change because there are aspects that can inhibit internet connection, the number of devices connected to an internet network, but the purpose of this research has been completed with what was expected.
 Keywords : Hazardous Gas, Temperature and Humidity, Gas Sensors and Temperature and Humidity Sensors, Firebase.
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Wardhana, Arief Wisnu, Agung Mubyarto, and Acep Taryana. "A CONTROLLER AREA NETWORK (CAN) BUS TEMPERATURE AND HUMIDITY DATA MONITORING SYSTEM." Transmisi: Jurnal Ilmiah Teknik Elektro 25, no. 3 (2023): 115–25. http://dx.doi.org/10.14710/transmisi.25.3.115-125.
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Pada riset ini, sudah didesain sebuah sistem pemonitor suhu dan kelembapan relatif. Alat ini mampu untuk mencatat data suhu dan kelembapan relatif secara otomatis dan terus menerus selama 24 jam per hari. Jaringan sistem ini berbasis pada standar bus CAN (Controller Area Network), merupakan sebuah standar yang didesain agar memungkinkan banyak node kendali untuk bisa berkomunikasi satu sama lain tanpa sebuah komputer host. Terdiri dari sebuah jalur bus CAN, dua node transmisi yang dijalankan oleh satu Arduino UNO dan satu Arduino Nano, serta satu node penerima yang dijalankan oleh sebuah Arduino UNO board. Kemudian terdapat tiga MCP2515 CAN bus controllers, tiga TJA1050 CAN transceivers, dua sensor suhu dan kelembapan DHT11, dan sebuah LCD I2C 16x2 untuk menampilkan data suhu dan kelembapan. Sensor DHT11 mengukur suhu dan kelembapan di sekitarnya. Terdapat dua node transmisi, satu mengirimkan data suhu dan satunya lagi mengirimkan data kelembapan yang sudah diukur oleh DHT11. Data kemudian diproses oleh node transmitter dan dikirimkan melalui CAN bus. Untuk menampilkan data dilakukan oleh node receiver. Beberapa pesan suhu dan pesan kelembapan dengan nomor identifikasi pesan yang berbeda beda dicoba untuk ditransmisikan. Hasilnya menunjukkan bahwa LCD selalu menampilkan pesan pesan yang mempunyai nomor identifikasi lebih rendah. Dengan sedikit penambahan pada program untuk node transmitter, bisa dibuat data suhu terukur dan kelembapan terukur ditampilkan secara bergantian dan kontinyu pada LCD. Secara keseluruhan, dapat disimpulkan bahwa sistem ini sudah berfungsi dengan baik sesuai dengan spesifikasi. CAN bus yang terklasifikasi sebagai sebuah jaringan industri adalah merupakan jaringan bus perangkat yang sangat berguna. Jaringan bus perangkat ini bisa mentransfer beberapa byte informasi (sampai delapan byte) dalam sekali waktu. Terutama, skema alokasi prioritas pesan pada identifier adalah satu fitur CAN yang membuatnya sangat menarik untuk digunakan pada lingkungan kendali waktu- nyata. Kata kunci: CAN bus, mikrokontroler, sensor suhu, arbitrasi, nomor identifikasi pesan, jaringan bus perangkat
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Niam, Bahrun, Rony Darpono, and Martselani Adias Sabara. "Pengembangan Deteksi Suhu dan Kelembaban Laboratorium Elektronika Dengan Menggunakan Metode Fuzzy Logic." Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro 6, no. 1 (2022): 19. http://dx.doi.org/10.22373/crc.v6i1.10498.
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The electronics laboratory is an important place to run the practical activities, especially among electronics students. It is important to protect laboratory equipment and components from the temperature and humidity factors. Whether, the temperature is too cold and the humidity is too high, it caused the corrosion of all electronic components. Thus, it also caused minor until severe damage of the components. Arduino is an open source electronics kit which specially designed to make easier for researcher to develop electronic devices regarding to various sensors and controllers. The laboratory room temperature detection system was carried out by using an Arduino device, which aims to determine the temperature conditions in the laboratory. The method used in this research is the fuzzy logic method. The software used is Arduiono and Matlab, while the hardware is power supply, D1 Mini microcontroller, DHT11 sensor and LCD. The results showed that the temperature data obtained from the DHT11 sensor will be displayed on the LCD. The temperature data obtained is 27 degrees Celsius – 29 degrees Celsius. The system is able to provide information when the temperature and humidity conditions are abnormal and the LED lights up according to room conditions.
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Et.al, Jayson J. Elenzano. "Smart Farming for Lowland Strawberry (Fragaria x ananassa) Production." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 1797–804. http://dx.doi.org/10.17762/turcomat.v12i3.1007.
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The developed system monitors the humidity levels, moisture content of the soil and surrounding temperature. Parameter values such as maximum and minimum temperature, maximum and minimum humidity values can be monitored accordingly by sending an sms to the system using arduino microcontroller, gsm module, moisture sensor and dht11 temperature/humidity sensor. This design maybe used for monitoring and controlling temperature and humidity value via sms. This system monitors and control the water content of the soil using a moisture sensor which runs under the control of a microcontroller, a dht 11 sensor to control and monitor the greenhouse humidity and proper temperature and a short messaging system (sms) to notify the caretaker/ owner on the moisture level content and temperature/humidity of the greenhouse. The system monitored and maintains the proper temperature, humidity and soil moisture content inside the greenhouse. The device has been successfully tested under simulated conditions and showed the ability of controlling temperature, humidity and soil moisture. The system notified the caretaker/farmer via short messaging system (sms) for the notification status (information) and triggering the water pump. The device showed the capability of sending sms holding the latest temperature and humidity information and also the status of the greenhouse.
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Kristiyana, Samuel, and Aldi Rinaldi. "Air Quality Monitoring System in Thingspeak-Based Applications Using Internet of Things (IOT)." WSEAS TRANSACTIONS ON COMPUTER RESEARCH 8 (May 18, 2020): 34–38. http://dx.doi.org/10.37394/232018.2020.8.6.
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The monitoring system in this study is a system created to find out data about temperature, humidity, and air quality in a room. This research develops a monitoring system that uses the internet so that the monitoring range becomes wider. By utilizing the Internet of Things (IoT) technology using the thingspeak application integrated with the NodeMCU module ESP8266 features an LM35 temperature sensor that functions as a temperature detector, a DHT11 sensor as a humidity sensor, and an MQ-135 sensor as an air quality detector. These sensors send input signals to the NodeMCU ESP8266 module for processing. The wifi module contained in the NodeMCU ESP8266 module sends the value read by the sensor to the IoT Thingspeak platform which records logging data in graphical form. This system has the potential to be used as an indoor air quality monitoring system to raise awareness about the importance of healthy air quality
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Fahmi, Alfian, Yuliarman Saragih, Patia Welly Sirait, and Suroyo. "PROTOTIPE ATAP STADION OTOMATIS BERBASIS IoT (INTERNET OF THING) DENGAN APLIKASI BLYNK." Jurnal Teknovasi 9, no. 02 (2022): 93–100. http://dx.doi.org/10.55445/jt.v9i02.47.
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Stadium is the venue for sport activities like football, athletics, and and also be used for opening and ceremonial venue, and music concerts. The application of stadium roof is needed to anticipate unpredictable weather conditions that can hinder the running event. The stadium prototipe are made by using an electrical actuator in the form of a servo motor. The prototype have 3 input sensors in the form of LDR sensor, water level sensor, and DHT11 sensor, which function for read a weather condition around the stadium and for output using mini roof programmed using NodeMCU. Analysis of roof stadium performance testing is carried out with variables and parameters, and the test include the water level sensor test in reading weather conditions, servo motion test, DHT 11 sensor test to read temperature and humidity, and LDR sensor test to read conditions in the stadium. In the water level sensor test and the LDR sensor test there is no error. In the DHT11 sensor test error was found 0,6% for temperature reading and 1,9% error for humidity reading. In the servo motion test average success is 98,1% for first servo and 96,8% for second servo.
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Ronny, Salmon, and Ahmad Rofiq Hakim. "Temperature and Humidity Monitoring System on Android Based Wallet House." TEPIAN 2, no. 3 (2021): 94–100. http://dx.doi.org/10.51967/tepian.v2i3.349.
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The quality and quantity of swallow's nest is strongly influenced by temperature and humidity. By utilizing Wifi, users can monitor room temperature and humidity in the swallow house remotely with the Android system. The Android system can make it easier for users to monitor room temperature and humidity in the swallow house at any time. DHT11 sensor which functions as a temperature and humidity detector, NodeMCU ESP8266 microcontroller which functions as a data processor so that the DHT11 sensor detection results can be displayed on a Smartphone via the Blynk application so that users can see directly the results of temperature and humidity measurements in the swallow house room. This research was conducted in Pulau Lanting Village, Jempang District, West Kutai Regency. The data collection methods used are literature study, interviews, and observation. While the system development method used is Waterfall. As well as the supporting software used by the Arduino Integrated Development Environment, and Blynk.
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Ari Sugiharto, Satyo Nuryadi, and Bagus Angga Wicaksana. "Implementasi Telegram untuk Budidaya Lumbricus Rubellus Berbasis IoT." Jurnal Elektronika dan Teknik Informatika Terapan ( JENTIK ) 1, no. 2 (2023): 53–64. http://dx.doi.org/10.59061/jentik.v1i2.369.
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Lumbricus Rubellus (earthworm) has various benefits: serving as livestock feed, medicine, cosmetics ingredients, and organic fertilizer from vermicompost. Earthworm cultivation is not difficult, but requires extra monitoring due to various challenges that affect their growth and development. One key factor to consider is the weather, as prolonged hot temperatures during droughts can disrupt the growth of earthworms. To address this challenge, a monitoring and control device was designed to regulate the temperature and humidity of the cultivation area automatically. Additionally, the device provides information about the age of the cultivated earthworms for predicting the harvesting period. These functions were realized by utilizing various sensors, such as the DHT11 sensor for room temperature measurement with 95.05% accuracy and the Soil Moisture sensor for soil humidity measurement with 96.3% accuracy. Furthermore, a fan and water pump were employed to automate temperature and humidity regulation. The main control unit for this system is the NodeMCU ESP8266. Telegram application was used as a platform to monitor and control this IoT-based device remotely. With this device, the process of earthworm cultivation is expected to be more accessible.
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Bunga, Fredrik J. Haba, Jemmy D. S. Dethan, Melani Sabuna, Novi I. Bullu, and Jemseng C. Abineno. "GREENHOUSE MONITORING WITH BLYNK CLOUD APPLICATION IN SEMI-ARID CLIMATE." Jurnal Komputer dan Informatika 12, no. 2 (2024): 166–75. https://doi.org/10.35508/jicon.v12i2.14756.
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Monitoring temperature and humidity during growth plants are very important Because impact significant on speed growth, productivity, and quality plant. Optimal temperature influences photosynthesis, transpiration, and development flower / fruit. Humidity tall help absorption of water and nutrients, reducing risk damage consequence change temperature extreme. Monitoring temperature and humidity also help detect and resolve problem plant. Study This aim For designing system IoT- based for monitor temperature and humidity plants at home glass. Study This test performance system as IoT tools for observation. Device design involve preparation equipment and manufacture code Arduino source (C++) for Arduino, which is connected through jumper cables to the DHT11 sensor and NodeMCU ESP8266. Blynk configuration allows Android devices with application the For display data, include temperature and humidity House glass. By Simultaneous, monitoring daily take notes change temperature moment apply devices at home glass hydroponics in Kupang City, East Nusa Tenggara Province. Research result show that system consists from device IoT hardware ( NodeMCU ESP8266 and Sensor DHT11) and components device software (Arduino IDE and Blynk), everything works with effective. Testing tool with a hygrometer and micrometre produce difference average temperature / humidity in the house glass of 1.33%, and humidity amounting to 2.17%. The error average temperature is 1.40%, with humidity of 2.35%.
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Arafat, Arafat, and Ibrahim Ibrahim. "SISTEM ALAT MONITORING UNTUK PENGENDALI SUHU DAN KELEMBABAN GREENHOUSE BERBASIS INTERNET OF THINGS." INFO-TEKNIK 21, no. 1 (2020): 25. http://dx.doi.org/10.20527/infotek.v21i1.8961.
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Greenhouse is an agricultural technology to protect plants from uncertain weather, with the 
 Greenhouse will be able to maintain and distribute temperature, soil moisture, sunlight, and 
 air humidity evenly with an optimal level. Even so the environmental conditions inside the 
 Greenhouse will always change due to the influence of the weather environment outside the 
 Greenhouse which is uncertain, so there is a need for monitoring so that plants inside the 
 Greenhouse can grow optimally. With IoT (Internet of Things) technology, Greenhouse 
 farmers do not need to visit the Greenhouse to monitor and control the environment inside 
 the Greenhouse. This is because with the IoT technology Greenhouse farmers can monitor
 and control v1ia an Android smart phone. The things that can be monitored are 
 temperature, humidity of the room, soil moisture, sunlight, water discharge, and soil 
 moisture, besides that farmers can also control the temperature and humidity of the 
 Greenhouse environment, as well as the provision of water to plants in the Greenhouse.
 The system used in this study uses ESP32 as a control center and uses DHT11, Soil 
 Moisture, as a sensor to measure IoT temperaturei, humidityi and soil moisture in the 
 greenhousei. As a control in the greenhouse there are two control outputs, namely water 
 pump 1 and water pump 2. ESP32 will read the temperature, humidity and soil moisture 
 sent from the DHT11 sensor which will determine whether the water pump will turn on or 
 not. To read the soil moisturei sensor used is capacitivei soil moisturei, if the soil moisture 
 reaches a predetermined threshold, the water pump 2 will turn on and drain the water into a 
 poly bag through drip drops.
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J, Vibha. "Smart Temperature and Humidity Tracker." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32679.
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The HC-05 Bluetooth module for data transmission, the things of network (IoT) smart temperature and humidity tracker presents an economical and effective Wireless Bluetooth Temperature and Humidity Monitoring System. Real-time temperature is offered by the system in a variety of situations, including homes, workplaces, warehouses, and agricultural settings. A dependable communication link between the monitoring devices and a central monitoring station—usually a computer or smartphone—is supplied by the HC-05 Bluetooth communication. The particulars for monitoring system's creation and implementation are covered in detail, with an emphasis on how the HC-05 Bluetooth modules are integrated with temperature and humidity sensors. The system design makes sure that data is acquired, processed, and transmitted in order for users to obtain accurate and timely environmental data from a distance. Important aspects of the system. The Wireless Bluetooth Temperature and moisture sensing system, in conjunction with Network of Things(IOT)-based smart temperature and humidity tracker, essentially ushers in a new era of environmental monitoring. By combining hardware and software components in a seamless manner and adding strong security measures, the system gives users practical information about temperature dynamics, which in turn promotes a more sustainable and healthy living and working environment. Keywords—HC-05 Bluetooth, NodeMCU ESP8266, DHT11 sensor, Temperature monitoring, Thingspeak.
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Asok, Anju, Fathima Risvana P R, Neemavas A, Punnya Appukuttan, and Sruthi R. Menon. "Fish Spoilage Detector." International Journal of Science, Engineering and Management 9, no. 1 (2022): 20–26. http://dx.doi.org/10.36647/ijsem/09.01.a005.
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This project work involves using Arduino Uno software integrated with MQ 137- Ammonia Gas Sensor, MQ 135- Gas Sensor Module and Humidity Sensor Module DHT11 to set up a Fish Spoilage Detector model for the determination of spoilage in fish. The study takes into consideration spoilage seen in fishes and how to detect it. To study the threshold values of Ammonia, and other gases like Carbon Monoxide, model trial runs are carried out to arrive at appropriate hard measures of the threshold values, to improve the stability of a conceptual fish spoilage detector. The ammonia sensor is initially tested with a pure ammonia sample before being used to quantify total volatile basic nitrogen in various fish samples of various freshness levels. When compared to standard procedures like microbe count and chromatography, which take hours to get a result, the sensor can determine the freshness of a sample in a matter of seconds. The sensor response was shown to be highly linked with fish deterioration, demonstrating that using sensors is an effective technique to swiftly test for spoiling in a sample. After calibrating the sensor(which involved watching the fish degrade for almost two days), it was put to the test using random samples, demonstrating that it can accurately distinguish the degree of freshness of the preserved fish at varied temperatures(for measuring which a temperature sensor is also fixed). The model is run until visible indications of fish spoilage are seen. The sensors detect critical levels of ammonia, carbon monoxide and also measure humidity and temperature thereby, emitting warning signals in the form of flashes of light and a sound warning. The model setup also consists of a 1602 (16x2) LCD Display with a 12C/11C Interface that will display the temperature, humidity levels as well as that of ammonia and other gases like carbon monoxide and thus, helps in spoilage detection when the levels of these reach a particular threshold value. Calibration could be improved with detailed studies containing data regarding the rate of spoilage in fishes, temperature and humidity parameters.
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Kanimozhi A and R. Vadivel. "Optimized water management for precision agriculture using IoT-based smart irrigation system." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 802–11. http://dx.doi.org/10.30574/wjarr.2024.21.3.0682.
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This project introduces a Smart Irrigation System aimed at enhancing water efficiency in agriculture through the integration of an Arduino Uno micro-controller and a variety of sensors. The system incorporates a soil moisture sensor, a DHT11 sensor for monitoring temperature and humidity, an LCD, a buzzer for alerts, and a relay module to control a pump motor. The main goal is to create an automated irrigation system that adjusts to environmental conditions, thereby optimizing water usage for plant growth. The soil moisture sensor continuously evaluates soil moisture levels, while the DHT11 sensor keeps tabs on temperature and humidity. The Arduino Uno processes this data and displays it on an LCD screen. When the soil moisture falls below a predefined threshold, the system activates a buzzer and triggers the relay to turn on the pump motor. The LCD provides real-time feedback on environmental conditions and the irrigation status. This Smart Irrigation System offers several advantages, including water conservation, energy efficiency, and improved plant health. By automating irrigation based on real sensor data, the system minimizes water wastage and ensures that plants receive optimal moisture levels. Additionally, temperature and humidity monitoring contribute to effective microenvironment management. The project serves as a demonstration of IoT-based solutions for agricultural challenges, featuring a modular design that allows for scalability. Future developments may include incorporating additional sensors, enabling wireless connectivity for remote monitoring, and integration with weather data. In summary, the system provides a practical and cost-effective solution for sustainable agriculture, promoting water conservation and efficient farming practices.
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Kanimozhi, A., and Vadivel R. "Optimized water management for precision agriculture using IoT-based smart irrigation system." World Journal of Advanced Research and Reviews 21, no. 3 (2024): 802–11. https://doi.org/10.5281/zenodo.14060613.
Full textAbstract:
This project introduces a Smart Irrigation System aimed at enhancing water efficiency in agriculture through the integration of an Arduino Uno micro-controller and a variety of sensors. The system incorporates a soil moisture sensor, a DHT11 sensor for monitoring temperature and humidity, an LCD, a buzzer for alerts, and a relay module to control a pump motor. The main goal is to create an automated irrigation system that adjusts to environmental conditions, thereby optimizing water usage for plant growth. The soil moisture sensor continuously evaluates soil moisture levels, while the DHT11 sensor keeps tabs on temperature and humidity. The Arduino Uno processes this data and displays it on an LCD screen. When the soil moisture falls below a predefined threshold, the system activates a buzzer and triggers the relay to turn on the pump motor. The LCD provides real-time feedback on environmental conditions and the irrigation status. This Smart Irrigation System offers several advantages, including water conservation, energy efficiency, and improved plant health. By automating irrigation based on real sensor data, the system minimizes water wastage and ensures that plants receive optimal moisture levels. Additionally, temperature and humidity monitoring contribute to effective microenvironment management. The project serves as a demonstration of IoT-based solutions for agricultural challenges, featuring a modular design that allows for scalability. Future developments may include incorporating additional sensors, enabling wireless connectivity for remote monitoring, and integration with weather data. In summary, the system provides a practical and cost-effective solution for sustainable agriculture, promoting water conservation and efficient farming practices.
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M, Sowmya. "Automated Greenhouse Monitoring using Control Systems." International Journal for Research in Applied Science and Engineering Technology 10, no. 7 (2022): 4809–16. http://dx.doi.org/10.22214/ijraset.2022.46066.
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Abstract: Greenhouses are climate-controlled structures with walls and roof specially designed for offseason growing of plants. Most greenhouse systems use manual systems for monitoring the temperature and humidity which can cause discomfort to the worker as they are bound to visit the greenhouse every day and manually control them. Also, a lot of problems can occur as it affects the production rate because the temperature and humidity must be constantly monitored to ensure the good yield of the plants. Internet of Things is one of the latest advances in Information and Communication Technologies, providing global connectivity and management of sensors, devices, users with information. So, the combination of IoT and embedded technology has helped in bringing solutions to many of the existing practical problems over the years. The sensors used here are moisture sensor, DHT11 (Temperature & Humidity sensor) and Ultra Sonic sensor. From the data received, Arduino Uno R3 automatically controls Moisture, Temperature, and Echo efficiently inside the greenhouse by actuating an irrigating pipe, cooling fan, and buzzer respectively according to the required conditions of the crops to achieve maximum growth and yield. The recorded temperature, humidity, soil moisture level and echo are stored in a cloud database called ThingSpeak, and the results are displayed in its webpage, from where the user can view them directly.
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Askan, Askan, Machrus Ali, Kadaryono Kadaryono, and Muhlasin Muhlasin. "Optimasi Sistem Kontrol Mesin Penetas Telur Menggunakan Sensor Suhu dan Kelembaban Udara." Jurnal FORTECH 3, no. 1 (2022): 1–6. http://dx.doi.org/10.56795/fortech.v3i1.101.
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The hatching machine is one of the media in the form of a box with such a construction so that the heat inside is not wasted in vain. The temperature inside the box can be adjusted according to the degree of heat required during the hatching period. In the field of animal husbandry, especially in duck farming, the problem faced is how to incubate chicken eggs in large quantities and at the same time. The DHT sensor is a sensor package that functions to measure air temperature and humidity at the same time which includes an NTC (Negative Temperature Coefficient) type thermistor to measure temperature, a humidity sensor with resistive characteristics to changes in water content in the air and a chip inside which performs several conversions. analog to digital and outputs in a single-wire bi-directional format. The DHT sensor is used to determine the temperature in the room. An automatic monitoring system for temperature and humidity of a room (egg incubator) using a DHT11 sensor. The DHT11 sensor has many advantages, the response speed is quite fast, has good resistance to interference and is quite cheap in price. The choice of the microcontroller that became the brain of this controller fell on the Arduino UNO. For heating the incubator, 2 lamps with a power of 75 watts are used. The incubator room is equipped with 1 fan for air circulation.Circuit testing is done by turning on the power for the entire circuit and then the LCD display displays the air temperature and humidity that have been measured by DHT11 and sent serially. In this study the results obtained that the room temperature is stable, namely 38 C.
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Djuni, Diafari, and I. G. A. P. Raka Agung. "Design and Implementation of Arduino-Based Weather Monitoring System in Rural." Journal of Electrical, Electronics and Informatics 3, no. 2 (2020): 58. http://dx.doi.org/10.24843/jeei.2019.v03.i02.p06.
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The Weather Monitoring System is an instrument that measures and records meteorological parameters using sensors. This sensor serves as a measuring instrument to measure every change in weather. Output data from sensors will be sent to the web server so that it can be accessed by users or people who need weather data. Weather data obtained from temperature sensors, air humidity, wind direction and speed, and air pressure are processed by the microcontroller and sent to the web server via cellular networks. The data displayed on the web server is a graph according to the value sent by the sensor. This study began a literature study on Arduino Uno, Ethernet shield, BMP180 sensor sensor, DHT11 sensor, wind direction and speed kit, Wifi Router, 3G network modem, equipment that will be realized starting with designing and making hardware and software. Tests carried out in the telecommunications system laboratory include testing air pressure with the BMP180 Sensor, testing temperature and humidity with the DHT11 Sensor, testing kits for wind speed and direction, testing data delivery with the Wifi Router and 3G network modem, and testing all devices. From the system design and testing concluded that the Arduino-based Automatic Weather Monitoring Device on 3G Cellular Networks has good flexibility and precision because the devices can be placed in various places, especially in rural areas. Data Output from sensors can be monitored through the Thingspeak.com website, so users do not need to directly monitor where the device is placed.
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Paladar, Russel John, Denniel Jush Alinghawa, Joshua Estorque, John Lou Canunayon, and Julian Kezia Pakig. "Hydrotech-integrated solar-powered iot automation for sustainable and precision irrigation using dht11 and esp8266 wi-fi module." International Journal of Research In Science & Engineering, no. 51 (April 22, 2025): 135–49. https://doi.org/10.55529/ijrise.51.135.149.
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This study focused on the design, development, and system testing of a solar-powered IoT-based irrigation system to enhance water-use efficiency and automation in agriculture. The system incorporated Arduino Uno, soil moisture sensors, a DHT11 temperature and humidity sensor, an ESP8266 Wi-Fi module, a relay module, a water pump, an LCD display, and a solar panel for sustainable energy use. Optimized sensor placements ensured accurate monitoring of soil moisture, temperature, and humidity, allowing precise irrigation management. The solar energy storage system was tested for its capacity to sustain irrigation operations under varying environmental conditions. System testing and calibration were conducted to evaluate the prototype’s accuracy in real-time data collection, response time, and automation efficiency. Results showed an average soil moisture detection accuracy of 97.8%, temperature accuracy of 98.3%, humidity accuracy of 96.7%, and real-time data transmission efficiency of 96.5%. The system effectively automated irrigation processes based on environmental conditions, ensuring optimized water distribution. Findings highlight the potential of IoT-integrated, solar-powered irrigation systems in promoting sustainable agriculture through efficient resource utilization and energy conservation.
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Gatot, Santoso, Hani Slamet, Kemal Kabalmay Habib, 'Aziz Mubarok Ihsan, and Susetyo Joko. "INSECTS PEST TRAP MONITORING SYSTEM USING INTERNET OF THINGS BASED SENSORS." Engineering and Technology Journal 08, no. 06 (2023): 2342–49. https://doi.org/10.5281/zenodo.8074624.
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The success of the harvest period will greatly affect the agricultural output itself. Processing of agricultural fields that still use traditional methods greatly affects crop yields, the cause of the effect of crop yields is the pests faced by farmers. Rice plant pests that often interfere are insect pests. Based on the background, in this study designed a monitoring system for traps and automatic midges to cope with rice plants from pest attacks using IoT (Internet of Things) technology. The purpose of this study is to obtain a monitoring system using sensors on IoT-based insect pest traps and find out the benefits of IoT technology in real time in monitoring insect pest traps.The automatic trap and midges monitoring system uses the ESP32-WROOM microcontroller, pest sting module, Passive Infrared Receiver sensor, ultrasonic sensor, DHT11 sensor, and the Blynk platform. Parameters monitored include temperature, humidity, presence of pests, pest characteristics, and light control. The results of this design are successful in monitoring the presence of pests on rice plants, controlling lights for on/off conditions, and displaying the temperature and humidity values of the rice fields displayed on the Blynk application on smartphones. This design tool can measure temperature and humidity values with an error percentage of 4.42% for temperature detection, and 6.03% for humidity detection. For PIR sensor readings can only detect insect pests from 0 to 5 meters. As well as ultrasonic sensors emit ultrasonic waves to repel pests with a radius of 4 meters.
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Tie, Yuhe, and Peiming Chen. "Environmental monitoring system design based on STM32 platform." Theoretical and Natural Science 53, no. 1 (2024): 1–9. http://dx.doi.org/10.54254/2753-8818/53/20240656.
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This study addresses the current societal demand for environmental monitoring by designing an environmental monitoring system based on the STM32 platform. This system assesses and monitors environmental conditions in real-time by tracking parameters such as CO, PM2.5, temperature, humidity, and light intensity. It holds significant value in preventing air pollution and improving indoor air quality. The system employs four types of sensors: the DHT11 digital temperature and humidity sensor, the BH1750FV light sensor, the GP2Y1010AUOF optical dust sensor, and the MQ-7 CO sensor to collect environmental data, which is then processed by the STM32F103C8T6 controller. This system is characterized by its real-time capabilities, high precision, and low power consumption, making it highly practical and valuable for widespread application. The paper provides a detailed discussion of sensor selection, measurement algorithms, and system design and implementation, offering valuable insights for research and applications in related fields.
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Tie, Yuhe, and Peiming Chen. "Environmental monitoring system design based on STM32 platform." Theoretical and Natural Science 41, no. 1 (2024): 16–24. http://dx.doi.org/10.54254/2753-8818/41/20240656.
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This study addresses the current societal demand for environmental monitoring by designing an environmental monitoring system based on the STM32 platform. This system assesses and monitors environmental conditions in real-time by tracking parameters such as CO, PM2.5, temperature, humidity, and light intensity. It holds significant value in preventing air pollution and improving indoor air quality. The system employs four types of sensors: the DHT11 digital temperature and humidity sensor, the BH1750FV light sensor, the GP2Y1010AUOF optical dust sensor, and the MQ-7 CO sensor to collect environmental data, which is then processed by the STM32F103C8T6 controller. This system is characterized by its real-time capabilities, high precision, and low power consumption, making it highly practical and valuable for widespread application. The paper provides a detailed discussion of sensor selection, measurement algorithms, and system design and implementation, offering valuable insights for research and applications in related fields.
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Hermawan, Ade, Doly Andrian Andrian.Harahap, I. Ketut Daging, Priyantini Dewi, Rafif Zainun Ridhwan, and Munzir Qadri. "Design of a Web-based Cold Storage Temperature Monitor with Arduino Uno for Fish Quality Maintenance: Sensor-based Methodology and Innovative Contribution." SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin 17, no. 2 (2023): 161. http://dx.doi.org/10.24853/sintek.17.2.161-170.
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The development of a web-based cold storage temperature and humidity monitoring device using Arduino Uno aims to monitor room conditions, particularly in cold storage spaces, through a website. This device utilizes DHT11 and DS18B20 sensors, along with the Wemos D1 Mini module, integrated with the Arduino Uno microcontroller. Arduino configuration is performed through an application to send commands to other components. The research was conducted at PT. Indu Manis Gresik, East Java. Data collection and testing were carried out at the specified location. The test results demonstrate the device's efficient operation, transmitting testing data to the associated website. The accuracy of the DS18B20 temperature sensor testing reached 98.8%, while the DS18B20 humidity sensor achieved 99.35%.
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Setiawan, Tia. "PEMBUATAN PROTOTIPE EXHAUST FAN OTOMATIS MENGUNAKAN SENSOR SUHU DHT11 UNTUK APLIKASI DIKENDARAAN DAN RUANGAN BENGKEL." SEMINAR TEKNOLOGI MAJALENGKA (STIMA) 6 (November 17, 2022): 98–102. http://dx.doi.org/10.31949/stima.v6i0.693.
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Design of an automatic exhaust fan prototype using a DHT11 temperature sensor is the manufacture of an electronic device to lower the temperature in a room and suck air in the room to be discharged outside the room, at the same time the exhaust fan draws fresh air outside into the room. In addition, the exhaust fan can also circulate air in a room, in order to stay healthy the room needs air circulation so that there is always a change of indoor air with fresh air from outside. This tool works automatically because this tool uses a temperature and humidity sensor type DHT11. This tool is still being made in the form of a prototype or initial model which is an example before making the actual tool. In this prototype, room temperature and humidity data are detected by the DHT11 sensor. The DHT11 temperature sensor detects the room temperature, then it is processed by the microcontroller then the exhaust fan will rotate to suck air out of the room by providing a calibrated digital signal. 30-50°C and a relative humidity measurement range of 20-90%. The input voltage is 12 volts and 5 volts is changed by the power supply. Arduino microcontroller works at a voltage of 5 volts and a voltage of 12 volts for the relay circuit and the exhaust fan will turn on at a temperature of more than 30 ° if the temperature is less than 30 ° C then the exhaust fan must stop rotating.
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Susetyo, Yosia Adi, Hanna Arini Parhusip, and Suryasatriya Trihandaru. "Herbs Go Digital: IoT Monitors Temperature and Humidity Automatically." CogITo Smart Journal 10, no. 2 (2024): 312–25. https://doi.org/10.31154/cogito.v10i2.621.312-325.
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This article aims to demonstrate the use of the Internet of Things (IoT) in a company by installing sensor devices to monitor environmental conditions automatically and continuously. Before IoT devices, monitoring processes relied heavily on inconsistent manual inspections. In the herbal and pharmaceutical industries, temperature and humidity monitoring are essential. The DHT11 and DHT22 sensors are used in conjunction with the ESP32 microcontroller to facilitate real-time temperature monitoring. The collected data is recorded in a MySQL database and displayed through HTML and PHP-based web dashboards. This article compares the performance of both sensors and discusses their potential mass application in enterprises. This IoT system implementation changes the monitoring process from manual to automated and continuous, enabling historical data collection for further analysis. The results show that IoT integration can improve efficiency and accuracy in monitoring enterprise environmental conditions.
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Jadhav, Ashish Madhukar, and Poonam Ranpise. "Temperature Compensation of Low-cost Sensors for Accurate Temperature Measurement." International Journal of Environment and Climate Change 15, no. 1 (2025): 328–44. https://doi.org/10.9734/ijecc/2025/v15i14695.
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Evapotranspiration (ET) is a critical process in agricultural system. ET states the combined water loss from the soil and plant surfaces. Predicting ET is vital for effective water resource management. Accurate temperature and humidity measurements is instrumental in calculating Et. Temperature measurement plays a key role in various industrial, scientific, and agricultural applications. The study investigates the performance of three temperature humidity sensors. DHT11, DHT22 and LM35. The sensors are analyzed under different conditions, including compensation, and with a temperature compensation algorithm, and with proportional P and proportional-integral-derivative PID controllers. Sensors are interfaced with a Raspberry Pi 4B model. The sensors were tested in controlled environments with temperatures ranging from 10 degrees to 100 degrees C, and their accuracy was evaluated by comparing their outputs with the reference values. Results revealed that the error percentages for all sensors exceeded permissible limits when used outside their specified ranges. Incorporating temperature compensation algorithm and P and PID controllers significantly improved measurement accuracy, reducing error percentages and root mean square errors (RMSE) across all sensors. Out of the three sensors, LM35 demonstrated a 5-fold reduction in error percentage at higher temperatures compared to other methods. The improved sensor accuracy has significant implications for agricultural applications such as ET calculation, where precise temperature data is necessary. Reducing error enhances better agricultural water management strategies and overall productivity.
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Muhammad, Umar, Irvawansyah, and Dirham Muhammad. "ENVIRONMENTAL CONDITION MEASUREMENT SYSTEM WITH A MINI WEATHER STATION USING ESP32." Jurnal Media Elektrik 21, no. 1 (2024): 34–43. http://dx.doi.org/10.59562/metrik.v21i1.657.
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Weather conditions are important to know because they have an impact on various human activities, such as agriculture, infrastructure, hydrology, and more. Several factors affect the weather, including wind speed, temperature, and air humidity. However, in this study, a mini weather station was designed to provide information not only on wind speed, temperature, and humidity but also on solar radiation. The research employed several sensors, including the DHT11, anemometer, and pyranometer. The research results indicate that the DHT11 error indoors is 1.4%, but it increases to 9% outdoors. The pyranometer shows a 3.62% error from direct solar radiation measurements. However, the wind speed sensor is still unstable, suggesting the need for improvement in future research.
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Malik, Naila Nawaz, Wael Alosaimi, M. Irfan Uddin, Bader Alouffi, and Hashem Alyami. "Wireless Sensor Network Applications in Healthcare and Precision Agriculture." Journal of Healthcare Engineering 2020 (November 30, 2020): 1–9. http://dx.doi.org/10.1155/2020/8836613.
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A wireless sensor network is a large sensor hub with a confined power supply that performs limited calculations. Due to the degree of restricted correspondence and the large size of the sensor hub, packets sent through the sensor network are based primarily on multihop data transmission. Current wireless sensor networks are widely used in a range of applications, such as precision agriculture, healthcare, and smart cities. The network covers a wide domain and addresses multiple aspects in agriculture, such as soil moisture, temperature, and humidity. Therefore, issues of precision agriculture at the output of the network are analyzed using a star and mesh topology with TCP as the transmission protocol. The system is equipped with two sensors: Arduino DFRobot for soil moisture and DHT11 for relative temperature and humidity. The experiments are performed using the NS2 simulator, which provides an improved interface to analyze the results. The results showed that the proposed mechanism has good performance and output.
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Mohd, Saiful Azimi Mahmud, Buyamin Salinda, Mohd Mokji Musa, and S. Zainal Abidin M. "Internet of Things based Smart Environmental Monitoring for Mushroom Cultivation." Indonesian Journal of Electrical Engineering and Computer Science 10, no. 3 (2018): 847–52. https://doi.org/10.11591/ijeecs.v10.i3.pp847-852.
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Environmental condition is a significant factor that needs to be controlled in mushroom production. Mushrooms are unable to grow if the temperature is higher than 33°C or lower than 25°C. Thus, this work focuses on developing an automatic environmental control system to provide optimum condition to mushroom production house. Environmental factors considered in the system are temperature, humidity and carbon dioxide. For this, DHT11 temperature humidity sensor and MQ135 CO2 sensor are connected to the ESP8266 WiFi module to become IoT (Internet of Things) sensors that send big amount of data to the internet for monitoring and assessment. This enable users to monitor the environmental condition anywhere whenever accessing the internet. Based on the analysis of the data, the system will automatically on and off the irrigation system to put the temperature at an optimum level.