Journal of Electronics and Informatics
IRO Journals
Volume 2 — Issue 4 — December 2020

Greenhouse Protection Against Frost Conditions in Smart Farming using IoT Enabled Artificial Neural Networks

https://doi.org/10.36548/jei.2020.4.005
Joy Iong-Zong Chen
Department of Electrical Engineering, Da-Yeh University, Dacun, Changhua
Lu-Tsou Yeh
Department of Electrical Engineering, Da-Yeh University, Dacun, Changhua
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How to Cite

Chen, Joy Iong-Zong, and Lu-Tsou Yeh. 2021. “Greenhouse Protection Against Frost Conditions in Smart Farming Using IoT Enabled Artificial Neural Networks”. Journal of Electronics and Informatics 2 (4): 228-32. https://doi.org/10.36548/jei.2020.4.005.
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Keywords

— Greenhouse
— artificial neural network
— fuzzy control
— temperature monitoring
— internet of things
— agriculture
Published: 08-02-2021

Abstract

An Artificial Intelligence and IoT incorporated frost forecasting is proposed in this novel work. The objects present inside a greenhouse are connected to each other through Internet of Things (IoT), using devices such as actuators, sensors and assisting aids. A smart system incorporating IoT is designed, developed and implemented using Fuzzy associative memory and Artificial Neural Networks (ANN) in order to manage any ill effects in irrigation caused due to frost conditions. The temperature inside the green house is monitored continuously on comparison with the outside temperature, thereby steps are taken to stabilize the temperature to make it suitable for plant growth. The temperature inside the greenhouses are forecasted by means of ANN and using fuzzy control, temperature of the crops are predicted and watered as per the required using 5 levels of water pump output. The output obtained is analyzed and compared with similar Fourier-statistical method and it is found that the proposed methodology provides a more effective prediction of temperature.

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