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Automatic watering system for smart agriculture using ESP32 platform

Gunawan, Teddy Surya and Kamarudin, Nur Najiehah and Kartiwi, Mira and Effendi, Mufid Ridlo (2022) Automatic watering system for smart agriculture using ESP32 platform. In: 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), 26-28 September 2022, Melaka.

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Agriculture can be transformed into smart agriculture due to the advanced wireless network and the Internet of Things (IoT). As the human population increases, so does the demand for crops. With real-time monitoring, a smart agriculture system’s awareness of soil moisture measurement, humidity, and environmental temperature will increase food security. In addition, smart agriculture can increase crop yield, reduce water waste, and boost productivity. In light of this, this study proposes smart agriculture, which employs sensor-based monitoring in real-time without human intervention. Users have direct access to real-time data, and all sensor data is recorded and monitored at all times and from anywhere within the internet’s coverage area. The development of a mobile application facilitates growth monitoring and user access to data. This research measures yield-affecting agricultural factors such as soil moisture, humidity, and temperature. Nonetheless, monitoring environmental factors is crucial to increasing crop yields. The experiment was conducted on two chili plants, one with an automation system and one without, which were manually watered once daily at 7:00 a.m. It is estimated that the plant with the system can maintain the optimal moisture level, whereas the other plant’s moisture measurement continues to decrease. Compared to manual watering, automatic watering also results in accelerated plant growth. Consequently, a smart agriculture system is anticipated to improve plant growth and system efficiency.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: Collaborative work with International (UIN Sunan Gunung Djati, Indonesia)
Uncontrolled Keywords: IoT, smart agriculture, soil moisture measurement, ESP32 platform.
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Kulliyyah of Information and Communication Technology > Department of Information System
Kulliyyah of Information and Communication Technology > Department of Information System
Depositing User: Prof. Dr. Teddy Surya Gunawan
Date Deposited: 23 Dec 2022 11:20
Last Modified: 23 Dec 2022 11:20
URI: http://irep.iium.edu.my/id/eprint/101863

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