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Title: | Greenhouse Automation using ESP32: A Comprehensive Study on Monitoring and Controlling Environmental Parameters for Optimal Plant Growth |
Authors: | Battikh, Aya Zaid, Raya Tayeh, Asma Kittana, Ayaat Jallad, Jaffar Alsadi, Samer Foqha, Tareq Alahdal, Dania Kanan, Mohammad |
Keywords: | Greenhouse Automation;ESP32;Optimal Plant Growth |
Issue Date: | 18-Jul-2024 |
Publisher: | IEEE.org |
Citation: | Battikh, A., Zaid, R., Tayeh, A., Kittana, A., Jallad, J., Alsadi, S., ... & Kanan, M. (2023, December). Greenhouse Automation using ESP32: A Comprehensive Study on Monitoring and Controlling Environmental Parameters for Optimal Plant Growth. In 2023 2nd International Engineering Conference on Electrical, Energy, and Artificial Intelligence (EICEEAI) (pp. 1-6). IEEE. |
Series/Report no.: | ;1-6 |
Abstract: | Greenhouse automation using ESP32 is a novel approach to achieving optimal plant growth by monitoring and controlling environmental parameters. This study presents the design, development, and implementation of an ESP32-based greenhouse monitoring and control system. The system includes sensors for temperature, humidity, soil moisture, and light intensity, enabling real-time data collection from the greenhouse. The ESP32 then processes and analyzes the data and controls the environmental parameters accordingly. This ESP32-based system offers better accuracy and reliability compared to conventional greenhouse monitoring systems. It can potentially improve crop yield and quality significantly and thus is an essential step towards sustainable agriculture. |
URI: | https://scholar.ptuk.edu.ps/handle/123456789/1141 |
metadata.dc.identifier.doi: | 10.1109/EICEEAI60672.2023.10590110 |
Appears in Collections: | Engineering and Technology Faculty |
Files in This Item:
File | Description | Size | Format | |
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Greenhouse Automation using ESP32 A.pdf | 725 kB | Adobe PDF | ![]() View/Open |
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