Fathin Ayuni Azizan
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Preferred name
Fathin Ayuni Azizan
Official Name
Fathin Ayuni, Azizan
Alternative Name
Azizan, Fathin Ayuni
Azizan, F. A.
Ayuni Azizan, Fathin
Main Affiliation
Scopus Author ID
56925398900
Researcher ID
GSD-9716-2022

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  • Publication
    Measurement of leaf chlorophyll content in Harumanis mango cultivated in a greenhouse using SPAD meter
    ( 2023-01-01)
    Ahmad N.A.
    ;
    Muhammad Firdaus Abdul Muttalib
    ;
    Muhammad Nur Aiman Uda
    ;
    Zainal Abidin Arsat
    ;
    Fadhilnor Abdullah
    ;
    Mohd Khairul Rabani Hashim
    ;
    Fathin Ayuni Azizan
    ;
    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
    Assessing changes in soil moisture distribution for before and after irrigation in a Harumanis Greenhouse
    ( 2024-03)
    Arravinthen Nagarajah
    ;
    Fathin Ayuni Azizan
    ;
    Fatnin Nazifa Mohamad Zalani
    Soil moisture is an essential factor in determining the quality of crop production in farming areas, particularly in a greenhouse. It is important to ensure that the irrigation in the greenhouse can provide ample water needed by trees. This study aims to assess the status of soil moisture and map its distribution in a greenhouse following the irrigation supply. Soil samples were collected at forty randomly chosen locations at two different intervals of before and after irrigation supply. The soil moisture content is determined by the gravimetric method in the laboratory. Two soil moisture distribution maps were developed using soil moisture data and the coordinates of the sample locations. Based on the maps, the soil moisture distribution of before irrigation was classified into two classes: low and moderate at about 50% coverage each, while 100% of the greenhouse area was within the high soil moisture class for after irrigation. The statistical results demonstrate that both soil moisture data before and after irrigation are different, with the mean soil moisture content increased by 8.73%, thus proving that irrigation systems installed in the greenhouse work effectively by providing ample water to the soil to achieve high soil moisture content in the greenhouse.
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