Now showing 1 - 6 of 6
  • Publication
    Finite element analysis on solar mobile dryer for shrimp paste drying application
    ( 2023-01-01)
    Mohd Nasir N.A.
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    ;
    Abdullah F.
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    ;
    Hashim M.K.R.
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    ;
    Kadarman A.H.
    ;
    Muhammad Nur Afnan Uda
    In the production of the shrimp paste, usually, the sun drying processing is not done hygienically. A small and mobile solar dyer could be used by the entrepreneurs to improve its wholesomely. This study aims to evaluate the simulation data analysis of the temperature contours resulting from the mobile solar dryer using Finite Element Analysis (FEA). This study was conducted in two different sets of ambient parameters; the outside and inside of the laboratory environments. On the FEA part, SolidWorks Software was used to analyze the heat transfer process inside the 3D models of the mobile solar dryer. The result suggested that the mobile solar dryer was able to maintain an average temperature of 34.2 °C and 60 % relative humidity by only harnessing 180 Watts from 3 bulbs and a 75-Watt industrial exhaust fan.
  • Publication
    Analysis on silica and graphene nanomaterials obtained from rice straw for antimicrobial potential
    This study focuses on the encapsulation of silica and graphene nanoparticles and their potential applications. The encapsulation enhances the properties and effectiveness of these nanoparticles, with silica providing stability and graphene contributing to high surface area and electrical conductivity. Characterization of silica-graphene nanoparticles was conducted using various techniques including High Power Microscope (HPM), Scanning Electron Microscope (SEM), Energy-dispersive X-ray spectroscopy (EDS), and 3D Nano Profiler. The antimicrobial activity of silica, graphene, and silica-graphene nanoparticles was evaluated using a disc diffusion assay against E. coli and B. subtilis at varying concentrations. Results showed significant antimicrobial activity, with the inhibition zone being directly proportional to the concentration. Silica-graphene nanoparticles demonstrated higher efficacy against E. coli compared to B. subtilis, attributed to differences in cell wall structure. Statistical analysis using ANOVA confirmed significant differences in antimicrobial activity among the tested components.
  • Publication
    Measurement of leaf chlorophyll content in Harumanis mango cultivated in a greenhouse using SPAD meter
    The Soil and Vegetation Analysis Development (SPAD) value was correlated to the actual value of chlorophyll content in the Harumanis mango leaf using a developed regression model. Distribution of chlorophyll content in Harumanis mango leaves were mapped using Geospatial Analyst in the ArcGIS. Total chlorophyll content and SPAD value were well established with the polynomial regression model with coefficient of determination (R2) of 0.925. The results show that the measured SPAD value in the morning were comparable to those value made in the evening and the Harumanis leaves located in the middle of the greenhouse have 25–31.3% lower chlorophyll content compared to other parts of the greenhouse.
  • Publication
    Measurement of leaf chlorophyll content in Harumanis mango cultivated in a greenhouse using SPAD meter
    ( 2023-01-01)
    Ahmad N.A.
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    ; ; ;
    Abdullah F.
    ;
    ; ;
    Jusoh M.F.
    ;
    Kamaruzaman S.R.S.
    ;
    Nordin A.A.
    The Soil and Vegetation Analysis Development (SPAD) value was correlated to the actual value of chlorophyll content in the Harumanis mango leaf using a developed regression model. Distribution of chlorophyll content in Harumanis mango leaves were mapped using Geospatial Analyst in the ArcGIS. Total chlorophyll content and SPAD value were well established with the polynomial regression model with coefficient of determination (R2) of 0.925. The results show that the measured SPAD value in the morning were comparable to those value made in the evening and the Harumanis leaves located in the middle of the greenhouse have 25–31.3% lower chlorophyll content compared to other parts of the greenhouse.
  • Publication
    Precipitation and water table dynamics in peat swamp catchment in Sarawak, Malaysia
    ( 2023-12)
    Edward Baran Aeries
    ;
    Ayob Katimon
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    ;
    Wong Guan Xhuan
    ;
    Lulie Melling
    Globally, peatland covers 3% of the land area, with significant concentrations in tropical regions. In Malaysia, Sarawak alone accounts for 70% (1.6 Mha) of the country's peatland. Tropical peatland is characterized by waterlogged conditions that promote the accumulation of organic matter (peat) from decaying plant material. These conditions strongly influence vegetation, species composition, peat type, and carbon release, making them crucial for climate change mitigation. The hydrology of tropical peatland is primarily influenced by the fluctuation of the water table (WT) depth in its catchment. This study analyzes five years (2011-2015) of field measurements on WT and precipitation (PT) dynamics, observing their trends. PT was found to significantly regulate monthly WT at the study site (p < 0.01), showing a positive correlation. However, PT exhibited a downward trend over the study period, although not significantly for all sites. Similarly, WT at MA, MC, and MD did not show significant trends, likely due to ENSO events from 2011 to 2015. In contrast, MB experienced a significant decrease in WT, possibly caused by a nearby river acting as a drain and accelerating WT lowering.
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  • Publication
    Automatic monitoring of class A pan evaporation using the Internet of Things (IoT)
    ( 2024-03)
    Mohd Fauzie Jusoh
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    ;
    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.
      3  67