Optimization of Soil Temperature and Humidity Measurement System at Climatology Stations with IoT-Based Equipment

- Yulkifli, Alwi Nofriandi, Mona Berlian Sari, Nofi Yendri Sudiar, - Violita, Ade Gafar Abdullah, Nur Anisa Sati’at, Aulia Rizkiana

Abstract


Temperature and humidity are important weather parameters that require close observation due to their importance across various fields, including agriculture. Apart from the use of automatic weather system (AWS), the station of meteorology and climatology also relies on conventional devices to observe these parameters, but they have been proven to be inefficient, imprecise, and prone to systematic errors. The alternative AWS consists of several sensors with different functions, allowing for more accurate measurements, but it also has one major limitation. This includes its inability to carry out measurements with the sensors when one of them is damaged. Therefore, this study aims to develop high-precision soil temperature and humidity (STH) monitoring equipment using the DHT11 sensor module. The equipment consisted of a box containing a series of device builder electronics. The building electronics circuit contained a DHT11 sensor, NodeMCU ESP8266 microcontroller, an on/off switch, and a reset button. The results of measurements of temperature and humidity often appeared on the smartphone. The DHT11 sensor detected the soil parameters, which were processed by the NodeMCU ESP8266. The data obtained were then sent to the Thingspeak server, where they could be accessed on a smartphone. The developed equipment showed good performance with accuracies of 98.201%, 97.330%, 98.982%, 98.973%, and 99.649% in measuring STH at each depth, while values of 98.487% and 98.587% were obtained for humidity measurement. Furthermore, precision values of 99.93% and 99.95 were recorded for the measurement of temperature and humidity

Keywords


DHT 11, Temperature, Humidity, Soil, IoT

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References


Z. Chen et al., “Characteristics of Soil Temperature, Humidity, and Salinity on Bird Island within Qinghai Lake Basin, China,†Sustain., vol. 14, no. 15, 2022, doi: 10.3390/su14159449.

J. Dong et al., “Modelling Soil Temperature by Tree-Based Machine Learning Methods in Different Climatic Regions of China,†Appl. Sci., vol. 12, no. 10, 2022, doi: 10.3390/app12105088.

B. Y. Kim, J. W. Cha, K. H. Chang, and C. Lee, “Estimation of the Visibility in Seoul, South Korea, Based on Particulate Matter and Weather Data, Using Machine-learning Algorithm,†Aerosol Air Qual. Res., vol. 22, no. 10, pp. 1–15, 2022, doi: 10.4209/aaqr.220125.

I. Dunaieva et al., “Review of automatized meteorological stations use for agricultural purposes,†IOP Conf. Ser. Earth Environ. Sci., vol. 937, no. 3, 2021, doi: 10.1088/1755-1315/937/3/032097.

A. Nanda, S. Sen, A. N. Sharma, and K. P. Sudheer, “Soil temperature dynamics at hillslope scale-field observation and machine learning-based approach,†Water (Switzerland), vol. 12, no. 3, 2020, doi: 10.3390/w12030713.

T. Darussalam, H. A. Nugroho, M. S. Thaha, B. Meteorologi, and K. Dan, “Rancang Bangun Sistem Pengukur Suhu dan Kelembaban Tanah Berbasis Komunikasi Radio,†vol. 7, no. 1, pp. 146–156, 2018.

H. Elbasiouny, H. El-Ramady, F. Elbehiry, V. D. Rajput, T. Minkina, and S. Mandzhieva, “Plant Nutrition under Climate Change and Soil Carbon Sequestration,†Sustain., vol. 14, no. 2, pp. 1–20, 2022, doi: 10.3390/su14020914.

M. Chtouki, F. Laaziz, R. Naciri, S. Garré, and F. Nguyen, “Interactive effect of soil moisture content and phosphorus fertilizer form on chickpea growth , photosynthesis , and nutrient uptake,†Sci. Rep., pp. 1–13, 2022, doi: 10.1038/s41598-022-10703-0.

A. Hidayat, A. F. Adzima, and N. H. Khairisa, “Analysis of Soil Fertility Status on Agricultural Land in West Sinjai District,†J. Tunas Geogr., vol. 11, no. 01, pp. 65–72, 2022.

M. M. Tahat, K. M. Alananbeh, Y. A. Othman, and D. I. Leskovar, “Soil health and sustainable agriculture,†Sustain., vol. 12, no. 12, pp. 1–26, 2020, doi: 10.3390/SU12124859.

C. Sen and O. Ozturk, “The Relationship between Soil Moisture and Temperature Vegetation on Kirklareli City Luleburgaz District A Natural Pasture Vegetation,†Int. J. Environ. Agric. Res., no. April, pp. 21–29, 2017.

M. Chowdhury et al., “Effects of temperature, relative humidity, and carbon dioxide concentration on growth and glucosinolate content of kale grown in a plant factory,†Foods, vol. 10, no. 7, 2021, doi: 10.3390/foods10071524.

P. H. Abelson, “Agriculture and climate change,†Science (80-. )., vol. 257, no. 5066, p. 9, 1992, doi: 10.1126/science.257.5066.9.

K. Abbass, M. Z. Qasim, H. Song, M. Murshed, H. Mahmood, and I. Younis, “A review of the global climate change impacts, adaptation, and sustainable mitigation measures,†Environ. Sci. Pollut. Res., vol. 29, no. 28, pp. 42539–42559, 2022, doi: 10.1007/s11356-022-19718-6.

V. Gitz, A. Meybeck, L. Lipper, C. Young, and S. Braatz, Climate change and food security: Risks and responses. 2016.

P. Shrivastava and R. Kumar, “Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation,†Saudi J. Biol. Sci., vol. 22, no. 2, pp. 123–131, 2015, doi: 10.1016/j.sjbs.2014.12.001.

F. Sabatini, “Setting up and managing automatic weather stations for remote sites monitoring: From Niger to Nepal,†Green Energy Technol., vol. 0, no. 9783319590950, pp. 21–39, 2017, doi: 10.1007/978-3-319-59096-7_2.

M. Iqbal and Y. Darvina, “Rancang Bangun Sistem Pengukuran Suhu Dan Kelembaban Udara Menggunakan Sensor Sht75 Berbasis Internet of Things Dengan Display Smartphone,†Ranc. Bangun Sist. Pengukuran Suhu Dan Kelembaban Udar. Menggunakan Sens. Sht75 Berbas. Internet Things Dengan Disp. Smartphone, vol. 22, no. 3, pp. 97–104, 2019.

M. A. Lokoshchenko, I. A. Korneva, and Y. A. Enukova, “Urban Heat Island in Moscow at different heights, depths and on the surface,†IOP Conf. Ser. Earth Environ. Sci., vol. 606, no. 1, 2020, doi: 10.1088/1755-1315/606/1/012030.

V. Vani, C. Engineering, C. Engineering, S. M. Visvesvaraya, and C. Engineering, “Iot Based Wireless Sensors for Environmental Monitor and,†vol. 07, no. 01, pp. 2352–2359, 2020.

S. Kristiyana and A. Rinaldi, “Air Quality Monitoring System in Thingspeak-Based Applications Using Internet of Things (IOT),†Wseas Trans. Comput. Res., vol. 8, no. May, pp. 34–38, 2020, doi: 10.37394/232018.2020.8.6.

I. G. M. N. Desnanjaya, A. A. G. B. Ariana, I. M. A. Nugraha, I. K. A. G. Wiguna, and I. M. U. Sumaharja, “Room Monitoring Uses ESP-12E Based DHT22 and BH1750 Sensors,†J. Robot. Control, vol. 3, no. 2, pp. 205–211, 2022, doi: 10.18196/jrc.v3i2.11023.

A. Boy, P. Purba, and A. T. Sutanto, “Pengukur Suhu Kelembapan dan Tekanan Udara Berbasis Mikrokontroler ATMEGA32,†vol. 3, no. 1, pp. 31–37, 2016.

Azhari, T. I. Nasution, S. H. Sinaga, and Sudiati, “Design of Monitoring System Temperature And Humidity Using DHT22 Sensor and NRF24L01 Based on Arduino,†J. Phys. Conf. Ser., vol. 2421, no. 1, 2023, doi: 10.1088/1742-6596/2421/1/012018.

R. Siskandar, S. H. Santosa, W. Wiyoto, B. R. Kusumah, and A. P. Hidayat, “Control and Automation: Insmoaf (Integrated Smart Modern Agriculture and Fisheries) on The Greenhouse Model,†J. Ilmu Pertan. Indones., vol. 27, no. 1, pp. 141–152, 2022, doi: 10.18343/jipi.27.1.141.

S. A. S. Mohammed, A. Aluri, K. Duru, P. Venkatachalam, C. Karra, and S. Kalluri, “IoT Based Humidity, Temperature, and Gas Monitoring Using Arduino UNO,†ECS Trans., vol. 107, no. 1, pp. 6435–6444, 2022, doi: 10.1149/10701.6435ecst.

Y. Karinia, V. Violita, H. Tarigan, and N. Y. Sudiar, “Soil moisture measurement tools using SHT11 sensors based on the Internet of Things,†vol. 21, no. 3, pp. 165–174, 2021.

F. Thomas-Brans, T. Heckmann, K. Markantonakis, and D. Sauveron, “New Diagnostic Forensic Protocol for Damaged Secure Digital Memory Cards,†IEEE Access, vol. 10, pp. 33742–33757, 2022, doi: 10.1109/ACCESS.2022.3158958.

B. Guo, X. Wang, X. Zhang, J. Yang, and Z. Wang, “Research on the Temperature & Humidity Monitoring System in the Key Areas of the Hospital Based on the Internet of Things,†vol. 10, no. 7, pp. 205–216, 2016.

K. Septa and M. Berlian, “Medicine, and Biology A Low-cost Digital Spectrophotometer for Heavy Metal Absorbance Measurements,†vol. 66, no. 1, pp. 147–155, 2023, doi: 10.1134/S0020441223010256.

H. Apriandi, S. W. I Made, and A. K. I Gde, “Rancangan Alat Ukur Suhu dan Kelembaban Udara Menggunakan Mikrokontroler ATmega 328P,†Bul. Fis., vol. 23, no. 1, p. 12, 2021, doi: 10.24843/bf.2022.v23.i01.p02.

A. D. Saputro and M. Yantidewi, “Analysis of Air Temperature and Humidity in Kedunggalar against BMKG Data Based on DHT11 Sensor,†J. Phys. Conf. Ser., vol. 1805, no. 1, 2021, doi: 10.1088/1742-6596/1805/1/012045.

K. Paul Kuria, O. Ochieng Robinson, and M. Mutava Gabriel, “Monitoring Temperature and Humidity using Arduino Nano and Module-DHT11 Sensor with Real Time DS3231 Data Logger and LCD Display,†Int. J. Eng. Res. Technol., vol. 9, no. 12, pp. 416–422, 2020.

R. Shrestha, “Study and Control of DHT11 Using Atmega328P Microcontrollerâ€,†Int. J. Sci. Eng. Res., vol. 10, no. 4, pp. 518–521, 2019.

A. G. Khairnar and D. A. Birari, “IoT (‘ Connected Life ’) and its Use in Different Applications : A Survey,†vol. 1, no. June, 2018, doi: 10.18311/mvpjes/2018/v1i1/19962.

A. V. Mutyalamma, G. Yoshitha, A. Dakshyani, and B. V. Padmavathi, “Smart Agriculture to Measure Humidity, Temperature, Moisture, Ph. and Nutrient Values of the Soil using IoT,†Int. J. Eng. Adv. Technol., vol. 9, no. 5, pp. 394–398, 2020, doi: 10.35940/ijeat.d8940.069520.

M. Ashifuddinmondal and Z. Rehena, “IoT Based Intelligent Agriculture Field Monitoring System,†in Proceedings of the 8th International Conference Confluence 2018 on Cloud Computing, Data Science and Engineering, Confluence 2018, 2018, no. January 2018, pp. 625–629, doi: 10.1109/CONFLUENCE.2018.8442535.

V. B. Durdi, K. Snehit, A. Shrivastava, M. Jain, and A. Professor, “Earthquake Detector using Arduino,†IJSDR1905049 Int. J. Sci. Dev. Res., no. 4, pp. 593–595, 2019.

Y. I. Chandra, F. Sjafrina, D. R. Irawati, M. Riastuti, W. Sari, and B. Purba, “Design of Air Pollution Measurement Detection Using Microcontroller NodeMCU ESP 8266 Based on IoT,†vol. 6, no. 158, pp. 41–53, 2022.

K. Ioannou, D. Karampatzakis, P. Amanatidis, and V. Aggelopoulos, “Low-Cost Automatic Weather Stations in the Internet of Things,†pp. 1–21, 2021.

N. Delhi, “Internet of Things ( IoT ( IoT ) Meaning , Application and Challenges,†2018.

A. Labusch, B. Eickelmann, and M. Vennemann, Computational Thinking Processes and Their Congruence with Problem-Solving and Information Processing. 2019.

B. M. A. Amer and H. Chouikhi, “Smartphone application using a visual programming language to compute drying/solar drying characteristics of agricultural products,†Sustain., vol. 12, no. 19, 2020, doi: 10.3390/su12198148.




DOI: http://dx.doi.org/10.18517/ijaseit.13.4.18963

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