Fuzzy Logic Implementation In Internet Of Things Technology For Foging Greenhouse Plants

Keywords: fuzzy logic, IoT, Foging, Misting, greenhouse, plants.


Misting of plants in a greenhouse has an important role in maintaining the environmental humidity that plants need. Obstacles faced to maintain the humidity of the plant environment is the use of a thermometer as a measuring tool and misting is still manual. Based on these problems, this research presents an automatic misting system for plants in a greenhouse using the fuzzy logic method. The process of taking data on the temperature and humidity of the plant environment in the greenhouse is from the DHT11 sensor value which is read by the microcontroller to be stored in the Firebase cloud database, the temperature and humidity data in the cloud database is sent and displayed in real-time by an android application built with the MIT tool App Inventor 2. Apart from displaying temperature and humidity data from Firebase, the Android application also processes it using fuzzy logic to produce PWM (Pulse Width Modulation) values to set the fog time. The fuzzy logic method was chosen to map input data problems to output data in conducting fog control. From the sensor test, the results obtained from the comparison of DHT11 sensor readings have an average error of 2.73%. The duration of watering is carried out using Fuzzy logic, the total amount of watering in a day is 2,500 ml of water with a duration of 75 seconds, so that the fogging with the fuzzy logic method is in accordance with the conditions needed in the greenhouse room.


Arbel, A., O. Yekuetieli and M. Barak. (1999) ‘Performance of a Fog System for Cooling Greenhouses’. Journal of Agricultural Engineering Research. No. 72, 129-136.

Fahmy, F. H., H. M. Farghally., N. M. Ahmed and A. A. Nafeh. (2011) ‘Modeling and Simulation of Evaporative Cooling System in Controlled Environment Greenhouse’, Electronics Research Institute. Vol. 3, No. 1, 67-71.

Kaewwiset, T. & Yodkhad, P., 2017. Automatic Temperature and Humidity Control System by Using Fuzzy Logic. Chiangrai, Thailand, Chiangrai College.

Kusumadewi, S. (2002). Analisis & Desain Sistem Fuzzy Menggunakan Toolbox Matlab. Yogyakarta: Graha Ilmu.

L. G. Hakim, A. Sofwan, and A. Triwiyatno. (2021) "Perancangan Sistem Rekayasa Lingkungan Smart Greenhouse Menggunakan Fuzzy Logic Controller Pada Tanaman Cabai," Transient: Jurnal Ilmiah Teknik Elektro, vol. 1, no. 1

Li, H. and S. Wang. (2015) ‘Technology and Studies for Greenhouse Cooling’, World Journal of Engineering and Technology. Vol. 3, No. 3, Agustus 2015, 73-77.

Minariyanto, Ahmad & Mardiono, Mardiono & Lestari, Sri. (2020). Perancangan Prototype Sistem Pengendali Otomatis Pada Greenhouse Untuk Tanaman Cabai Berbasis Arduino Dan Internet of Things (IoT). Jurnal Teknologi. 7:121-135.

Pamungkas, Sandi. (2020). Smart Greenhouse System on Paprican Plants Based on Internet of Things. Telekontran: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan. 7:197-207.

Prayitno, W. A., 2017. Sistem Monitoring Suhu, Kelembaban, dan Pengendali Penyiraman Tanaman Hidroponik menggunakan Blynk Android. Jurnal Teknologi Informasi dan Ilmu Komputer (JTIIK), I(2), pp. 292-297.

Fajri, M. Iqbal. (2018) Deteksi Status Kanker Paru-Paru Pada Citra CT Scan Menggunakan Metode Fuzzy Logic. [Thesis, unpublished]. Universitas Negeri Surabaya, Surabaya.

How to Cite
Widiono, S., & Hartadi TU, I. (2023). Fuzzy Logic Implementation In Internet Of Things Technology For Foging Greenhouse Plants. International Journal of Engineering Technology and Natural Sciences, 5(1), 59 - 66. https://doi.org/10.46923/ijets.v5i1.205