Shuhaizar Daud
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Shuhaizar Daud
Official Name
Shuhaizar, Daud
Alternative Name
Shuhaizar, D.
Daud, S.
D., Shuhaizar
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Scopus Author ID
25644893100
Researcher ID
ETD-5536-2022

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  • Publication
    Durio Zibethinus L Plantation Intelligent Web-Based Irrigation System using fuzzy logic (DuWIMS) based on IoT
    (Semarak Ilmu Publishing, 2025-07)
    Zahari Awang Ahmad
    ;
    Muhammad Imran Ahmad
    ;
    Shuhaizar Daud
    In response to the challenges posed by the recent pandemic on traditional farming in Malaysia, this paper proposes DuWIMS, an innovative smart irrigation system that integrates a modern web interface with an IoT-based system. Utilizing an array of sensors for real-time data collection, the system enhances irrigation efficiency through a dual-mode operation: manual remote control and automated irrigation via a fuzzy logic model. This system, tested on a durian farm in Kedah, Malaysia, significantly reduced irrigation time from two hours to approximately 50 minutes for 65 trees and decreased water usage by about 25%. Furthermore, durian trees irrigated with this system exhibited improved growth compared to those under traditional irrigation methods. Operational efficiency was bolstered with remote irrigation control and reliable performance, as evidenced by no system downtime over a three-month period. The deployment of the fuzzy logic model on a cloud server, serving as a backend API, also proved cost-effective by negating the need for on-site computing units. These findings underscore the potential of DuWIMS to revolutionize agricultural practices, particularly in challenging times, by optimizing resource usage and promoting sustainable farming.
  • Publication
    Video size comparison for embedded vehicle speed detection & travel time estimation system by using Raspberry Pi
    ( 2017-03-06)
    Iszaidy Ismail
    ;
    Alias A.
    ;
    Ruzelita Ngadiran
    ;
    R Badlishah Ahmad
    ;
    Mohd Ilman Jais
    ;
    Shuhaizar Daud
    As traffic continues to grow up, the issue regarding the road accident also growing quickly. The accident occurred due to the high speed of vehicles on the road. This paper proposed a vehicle speed detection and travel time estimation system using Raspberry Pi to estimate the speed of passing vehicles through this system. The system is designed to detect the moving vehicles and calculate its velocity. The system used OpenCV as an image processing software to detect and track the moving vehicles. Several types of capturing size of the video are used in this system to check and measure the performance of the embedded board.
      3  56
  • Publication
    Embedded system for automatic plant irrigation using raspberry-Pi (APLIRasPi)
    ( 2017-01-01)
    Mohd Ilman Jais
    ;
    Shuhaizar Daud
    ;
    Ismail I.
    ;
    Nurfatin A.S.
    ;
    R Badlishah Ahmad
    Nowadays, an irrigation system in Malaysia mainly uses an irrigation system manually. With this method, water consumption is rather wasted because each soil requires different quantities of water. Similarly, in terms of working on high energy consumption. The purpose of this research work is to upgrade it to the automatic irrigation system using a single board computer (SBC) which is Raspberry-Pi (RasPi). Thus, by upgrading the irrigation system to automatic, there are various pros and recovery can be achieved. Using an automatic irrigation system, farmers can save time and cost. Farmers are also able to control irrigation pumps automatically or by using cell phones or other electronic devices anywhere and anytime through web based. The system also uses soil moisture sensor to detect the humidity of soil. Each soil has a certain moisture level.
      32  6
  • Publication
    Threading implementation on different hardware for travel time estimation purpose
    ( 2017-03-06)
    Iszaidy Ismail
    ;
    Ruzelita Ngadiran
    ;
    R Badlishah Ahmad
    ;
    Mohd Ilman Jais
    ;
    Shuhaizar Daud
    The travel time estimation is one of traffic management system which provide time taken from one point to another point. Travel time estimation system consists of an embedded platform with image sensor for detecting and tracking the vehicle. Due to limited resources of embedded board, it makes challenging to measure the travel time especially for fast moving vehicle. Capturing system required a high capturing rate of the camera to capture most current frame for fast moving vehicle. Threading is implemented in this system to improve embedded board resource utilization and input-output latency between camera and embedded board. In this paper, the threading technology is applied to two types of Raspberry Pi model and the performance of the embedded board is recorded and analyzed.
      56  16