Yulkifli, Alwi Nofriandi, Mona Berlian Sari, Nofi Yendri Sudiar, Violita, Ade Gafar Abdullah, Nur Anisa Sati’at, Aulia Rizkiana
Temperature and humidity are important weather parameters that require close observation due to their importance across various fields, including agriculture. Apart from using automatic weather system (AWS), the station of meteorology and climatology also relies on conventional devices to observe these parameters, but they have been proven 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. IoT and cloud databases have also been incorporated into the system. The results of measurements of temperature and humidity often appear on the smartphone. The DHT11 sensor detected the soil parameters, which the NodeMCU ESP8266 processed. The data obtained were then sent to Thingspeak, 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, 99.93% and 99.95 precision values were recorded to measure temperature and humidity. © (2023), (Insight Society). All Rights Reserved.
Department of Physics, Universitas Negeri Padang, Jl. Prof. Dr Hamka Air Tawar, Padang, Indonesia; Department of Biology, Universitas Negeri Padang, Jl. Prof. Dr. Hamka Air Tawar, Padang, Indonesia; Department of Education and Vocational Technology, Universitas Pendidikan Indonesia, Bandung, Indonesia; Department of Smart Agricultural System, Chungnam National University, Daejeon, South Korea
