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
Now showing 1 - 6 of 6
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Publication

Performance evaluation of drip irrigation system and water productivity (WP) of Rock Melon grown inside netted rain house shelter

2020 , Mohd Fauzie Jusoh , Nurhayatie Adnan , Muhammad Firdaus Abdul Muttalib , Ayob Katimon

The yield of the crops may be subject to the distribution of water directly to the plant root zone using drippers or emitters. To date, there has not been adequate work to evaluate irrigation system performance and water productivity (WP) specifically for rock melon inside a netted rain house shelter in tropical area. Amongst the problem of this system is the non-functional irrigation components after been used for specific of time, thus reducing the irrigation efficiencies and distribution uniformity. This study evaluates irrigation performance of drip irrigation system and estimates WP of rock melon cultivation in the netted rain house shelter. The results indicate that the operating pressure of the drip irrigation system tested varied from 0.8 to 3.0 psi with a discharge rate between 0.14 and 0.25 Lmin-1. Water application uniformity between laterals varied from 66.06 to 89.72%. The WP of rock melon was around 7.93 kg/m3, which is considerably high and in similar range as demonstrated in previous literature. The field evaluation also reveals that the manipulation of valve controller at lateral based on a few selected scenarios did not provide a significant difference in pressure and discharge at the head, middle, and tail section of the drip irrigation system. Such findings would be a very useful information for a precision water management particularly for rock melon cultivation grown under rain house shelter system.

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Publication

Bibliometric and visualisation analysis of global research trends on HYDRUS using Scopus search

2023 , Mohd Fauzie Jusoh , Muhammad Firdaus Abdul Muttalib , Syed M. Al-Amsyar , Mohamad Najmi Masri , Ayob Katimon

HYDRUS is one of the popular software packages used for water, heat and solute transport simulation. Although numerous studies on bibliometric analysis were conducted, the bibliometric research and systematic searching strategy on the HYDRUS are rarely explored by scholars. Therefore, the main focus of this study is to explore existing literature on the global research trends of HYDRUS according to bibliometric methods. The data was filtered and extracted from the Scopus database. Bibliometric analysis was performed in different aspects such as yearly publications trends, countries productivity, leading journals and subject areas. Visualisation analysis was deployed using VOSviewer software for collaboration patterns and content analysis to explore networking and emerging topics in HYDRUS. In total, 1903 literature related to HYDRUS publications from the year 1993 until 2020 were retrieved. The quantity of HYDRUS publications has substantially increased for almost three decades. HYDRUS mainly used in the field of Environmental Science (n=1120, 34.1%), Agricultural and Biological Science (n=871, 26.5%) and Earth and Planetary Sciences (n=424, 12.9%). In addition, Agricultural Water Management Journal (Elsevier, Netherlands) is the leading journal in HYDRUS publications. The top three prolific scholars on subject matters are Šimůnek Jirka (H-Index 71, University of California, United States), Martinus Th. van Genuchten (H-Index 82, Utrecht University, Netherlands) and Harry Vereecken (H-Index 65, Institute of Bio- and Geosciences, Germany). The United States, China and Germany, among the most productive country published papers related to HYDRUS. The HYDRUS study is applied in three clusters; media properties cluster, irrigation cluster and groundwater study cluster, with a primary focus on water flow and solute transport modelling. The keywords analysis revealed that the most active research topics were "model", "water", and "parameter" throughout the study period. This bibliometric technique helps researchers identify and understand the specific knowledge domain on the past, current, and emerging research topics.

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Performance evaluation of bar load cell sensing system for soil moisture measurement

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.

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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.

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Knowledge mapping trends of Internet of Things (IoT) in plant disease and insect pest study: a visual analysis

2023 , Muhammad Akmal Mohd Zawawi , Mohd Fauzie Jusoh , Marinah Muhammad , Laila Naher , Nurul Syaza Abdul Latif , Muhammad Firdaus Abdul Muttalib , Mohd Nazren Radzuan , Andri Prima Nugroho

The study and literature on the Internet of Things (IoT) and its applications in agriculture for smart farming are increasing worldwide. However, the knowledge mapping trends related to IoT applications in plant disease, pest management, and control are still unclear and rarely reported. The primary aim of the present study is to identify the current trends and explore hot topics of IoT in plant disease and insect pest research for future research direction. Peer review articles published from Web of Science (WoS) Core Collection (2010-2021) were identified using keywords, and extracted database was analysed scientifically via Microsoft Excel 2019, VOSviewer and R programming software. A total of 231 documents with 5321 cited references authored by 878 scholars showed that the knowledge on the studied area has been growing positively and rapidly for the past ten years. India and China are the most productive countries, comprising more than half (52%) of the total access database on the subject area in WoS. IoT application has been integrated with other knowledge domains, such as machine learning, deep learning, image processing, and artificial intelligence, to produce excellent crop and pest disease monitoring research. This study contributes to the current knowledge of the research topic and suggests possible hot topics for future direction.

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Automatic Monitoring of Class A Pan Evaporation using the Internet of Things (IoT)

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

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