Smart Grow : Water Conductivity and pH Level Monitoring and Regulating System for Hydroponic system

Kueh, Kenny Yung Shin (2020) Smart Grow : Water Conductivity and pH Level Monitoring and Regulating System for Hydroponic system. [Final Year Project Report] (Unpublished)

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Abstract

This study is concerned about the automation of the regulation of hydroponic system. Automation is the creation and application of technology to monitor and control the production and delivery of products and services. It is very important and essential key factor to ensure the precision and correctness during production and delivery of products and services. Hydroponics is a way of growing plants in a water medium instead of using soil. Hydroponic system requires precision, patient and regular monitoring, which is considered as a hassle to most of the people. Smart Grow is a smart, automated hydroponic system, integrated with Internet-of-Things (IoT) that can help to monitor and regulate the environment of the hydroponic system. The system is powered by multiple sensors, which are pH sensor, electrical conductivity (EC) sensor, and ultrasonic sensors. These sensors are connected to a microcontroller, ESP32 by Espressiff, and manage the automation process of the regulation of hydroponic environment. By using this system, user can spend more time doing their personal stuff while able to grow their favourite plants without any hassle.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: hydroponic system, pH sensor, electrical conductivity (EC) sensor, ultrasonic sensors, Internet-of-Things (IoT), microcontroller.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Faculties, Institutes, Centres > Faculty of Computer Science and Information Technology
Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 01 Feb 2021 08:00
Last Modified: 02 Aug 2023 08:14
URI: http://ir.unimas.my/id/eprint/34183

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