Muhammad Firdaus Abdul Muttalib
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Preferred name
Muhammad Firdaus Abdul Muttalib
Official Name
Muhammad Firdaus , Abdul Muttalib
Alternative Name
Muttalib, Muhammad Firdaus A.
Muttalib, Muhammad Firdaus Abdul
A. Muttalib, M. Firdaus
Muttalib, M. F.A.
Muttalib, M.
Muttalib, M. Firdaus A.
Main Affiliation
Scopus Author ID
55747520500
Researcher ID
IMT-8544-2023

Research Output

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  • Publication
    Performance evaluation of bar load cell sensing system for soil moisture measurement
    (IOP Publishing, 2023)
    Nur Sakinah Saedin
    ;
    Muhammad Firdaus Abdul Muttalib
    ;
    Mohd Fauzie Jusoh
    The open-source microcontroller Arduino is simple to program, erase, and reprogram at any moment. It is an open-source computing platform for creating and programming electronic devices based on basic microcontroller boards. In agriculture, soil moisture content must be monitored soil monitoring continuously to understand the relationship between soil moisture content status and plant water use to minimize under and over-irrigation. Current methods have a short lifespan due to possible corrosion on the electrode. In this project, we introduce a new indirect method for monitoring soil moisture, especially for soil in the container or pot, based on a low-cost bar-based load-cell sensor with an acrylic plate. This study's objectives were to compare the number of bar load cell sensors that affect the soil weight and to formulate a calibration model to predict soil moisture content using soil weight. A model design of 10kg and 5kg bar-based load cell sensors will be used to compare the number of bar load cell sensors affecting the soil weight. The measurement result of each method was very similar and constant for the various positions on the design. There is no significant difference in average soil weight for any technique, and there is no difference in average soil weight for each sample. R2 values and the calibration equation were tabulated in Table 2.
  • Publication
    Automatic monitoring of class A pan evaporation using the Internet of Things (IoT)
    ( 2024-03)
    Mohd Fauzie Jusoh
    ;
    Muhammad Firdaus Abdul Muttalib
    ;
    Nur Sakinah Saedin
    ;
    Mohd Mahmud
    This study aimed to assess suitable water level sensor types and implement the automated monitoring of water levels within a Class A pan evaporation system using the Internet of Things (IoT). Both analogue and ultrasonic water level sensors underwent testing in controlled laboratory conditions for performance analysis. The results showed that the analogue water level sensor exhibited suboptimal output sensor responses compared to the ultrasonic sensor, primarily due to its susceptibility to variations in solution types and immersion depths. In contrast, ultrasonic sensors demonstrated strong performance with acceptable error rates, as evidenced by the Mean Absolute Error (MAE) of 1.03, Root Mean Squared Error (RMSE) of 1.42, and Coefficient of Determination (R²) of 0.94 during laboratory testing. However, the ultrasonic sensor's performance was somewhat reduced during field testing, exhibiting accuracy levels ranging from 6.7% to 51.2% within a greenhouse environment during rock melon cultivation. These discoveries highlight the feasibility of using ultrasonic sensors with environmental calibration to automate real-time evaporation measurements towards precision irrigation practices.
      2  55
  • Publication
    Automatic Monitoring of Class A Pan Evaporation using the Internet of Things (IoT)
    (Universiti Malaysia Perlis, 2024-03-01)
    Mohd Fauzie Jusoh
    ;
    Muhammad Firdaus Abdul Muttalib
    ;
    Nur Sakinah Saedin
    ;
    MohdMahmud
    This study aimed to assess suitable water level sensor types and implement the automated monitoring of water levels within a Class A pan evaporation system using the Internet of Things (IoT). Both analogue and ultrasonic water level sensors underwent testing in controlled laboratory conditions for performance analysis. The results showed that the analogue water level sensor exhibited suboptimal output sensor responses compared to the ultrasonic sensor, primarily due to its susceptibility to variations in solution types and immersion depths. In contrast, ultrasonic sensors demonstrated strong performance with acceptable error rates, as evidenced by the Mean Absolute Error (MAE) of 1.03, Root Mean Squared Error (RMSE) of 1.42, and Coefficient of Determination (R²) of 0.94 during laboratory testing. However, the ultrasonic sensor's performance was somewhat reduced during field testing, exhibiting accuracy levels ranging from 6.7% to 51.2% within a greenhouse environment during rock melon cultivation. These discoveries highlight the feasibility of using ultrasonic sensors with environmental calibration to automate real-time evaporation measurements towards precision irrigation practices
      1  16