Temperature and Humidity Control using Nextion 3.2 HMI in the Natural Greenhouse

DOI

10.2991/978-94-6463-274-3_15How to use a DOI?

Keywords

Humidity; Internet of Things; Nextion 3.2 HMI; Temperature

Abstract

Maintaining stable temperature and humidity conditions is a crucial part of the plant growth stage. Ignoring the urgency of controlling this parameter causes plant growth to be not optimal. This research was conducted to monitor the temperature and humidity inside and outside the greenhouse and to create a temperature and humidity control system. The research method was experimental by observing red spinach (Amaranthus tricolor L) plants with a combination of planting media (cocopeat, husk charcoal, and compost). The air conditioning system built applies the IoT (Internet of Things) concept, which utilizes internet connectivity for interaction between the microcontroller and the web system by using Nextion 3.2 HMI as a medium for monitoring and controlling system parameters for temperature and humidity thresholds. Temperature and humidity conditions in the natural greenhouse can be monitored properly by obtaining the highest average temperature value for 14 days, which is 33.5°C and the lowest average temperature is 25.1°C, while the highest humidity value is 91.06% and the lowest is 72%. The temperature and humidity outside the greenhouse can also be monitored with an AWS (Automatic Weather Station) that is functioning properly. The average outdoor air temperature has increased starting at 06.00 am, from the lowest temperature at 22.3°C to the highest point of 33.6°C at noon around 12.00 noon. The temperature and humidity data retrieval using the DHT22 sensor displays on the Nextion 3.2 HMI screen where the data has been successfully set as desired. From the results of the data analysis, the MAPE (Mean Absolute Percentage Error) values obtained for the temperature and humidity sensors are 4.81% and 8.37%, respectively, which means that the interpretation of the MAPE value on the accuracy of the prediction model is very accurate (<10%).

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sirajuddin Haji Abdullah
AU  - Joko Sumarsono
AU  - Gagassage Nanaluih Side
AU  - Asih Priyati
PY  - 2023
DA  - 2023/10/27
TI  - Temperature and Humidity Control using Nextion 3.2 HMI in the Natural Greenhouse
BT  - Proceedings of the 7th International Conference on Food, Agriculture, and Natural Resources (IC-FANRES 2022)
PB  - Atlantis Press
SP  - 173
EP  - 186
SN  - 2468-5747
UR  - https://doi.org/10.2991/978-94-6463-274-3_15
DO  - 10.2991/978-94-6463-274-3_15
ID  - Abdullah2023
ER  -