Development of an IoT-based smart watering system for cucumber plantations

Abd Majid, Nur Amlya and Mohamad Amran, Mohd Fahmi and Abd Rauf, Muhammad Fairuz and Marjudi, Suziyanti (2024) Development of an IoT-based smart watering system for cucumber plantations. In: 8th Computational Methods in Systems and Software 2024, 25 -28 October 2024, via virtual conference. (Submitted)

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Abstract

Over the last decade, the farming industry has experienced substantial growth. Previous studies have demonstrated that smart technologies including artificial intelligence (Al) and the Internet of Things (IoT) can be applied across all agricultural processes. The implementation of an IoT system for watering cucumber plantations can streamline the growth and development of plants including aspects such as marketing, farm management and monitoring thereby enhancing the efficiency of nearly all processes. This research aims to develop an IoT-based smart watering device specifically for cucumber plants. This tool incorporates a soil moisture sensor to determine soil moisture levels and automatically control the watering process. Data from the device will be displayed on an Android-based smartphone application. Data on the tool's features, responsiveness and customization were collected through interviews. The analysis aims to assess customer satisfaction based on the prototype's requirements. Results indicate both the functional and non-functional requirements of the system. The data also serve as a benchmark to evaluate the suitability of soil moisture levels for cucumber plants. The amount ofwater supplied during the watering process affects soil moisture levels. The IoT-based smart watering system can automate watering by using soil moisture percentages as a benchmark. Additionally remote control of watering can be achieved via a WiFi connection between the smartphone client and the microcontroller.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Smart plant, Smart farming, agriculture, IOT
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
S Agriculture > S Agriculture (General)
Divisions: Faculty of Defence Science &Technology
Depositing User: Mr Shahrim Daud
Date Deposited: 04 Mar 2025 01:11
Last Modified: 13 Jun 2025 06:29
URI: http://repo.upnm.edu.my/id/eprint/596

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