Razaidi Hussin
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Preferred name
Razaidi Hussin
Official Name
Razaidi, Hussin
Alternative Name
Hussin, R.
Razaidi, Hussin
Hussin, Razaidi Bin
Hussin, Razaidi
Razaidi, H.
Main Affiliation
Scopus Author ID
22634137400
Researcher ID
AAU-6856-2020

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  • Publication
    IoT Based Soil Nutrient Sensing System for Agriculture Application
    ( 2021-12-01)
    Othaman N.N.C.
    ;
    Mohd Nazrin Md Isa
    ;
    Razaidi Hussin
    ;
    Zakaria S.M.M.S.
    ;
    Isa M.M.
    Rice is the primary food source for millions of Asians and satisfies the most fundamental requirement for human survival. The paddy scarcity has heightened public awareness of the global food problem. Rice yield and quality are affected by various factors, including soil nutrients, irrigation, types of soil, and pests. This work proposed developing an Internet of Things (IoT) based mobile device for measuring soil nutrients in real-time. The proposed system consists of electrical conductivity (EC) and temperature sensors with TTGO T-Beam microcontroller and IoT connectivity. During experimental work, the results showed that the observed EC data near the calibration solution conductivity of 12.88mS/cm and 150mS/cm, which are less than 2% from the calibration solution's stated value. Furthermore, it is found that the measured EC value increases with temperature (linearly proportional). The study showed that the soil's EC of sensor node 1 at 5 cm depth without fertiliser is 1.04375mS/cm and with fertiliser is 3.86mS/cm, while at 10 cm depth without fertiliser is 0.65625mS/cm and with fertiliser is 420mS/cm. These investigations show that soil EC is directly linked to nutrient availability and soil depth.
  • Publication
    IoT Monitoring System for Fig in Greenhouse Plantation
    ( 2023-07-01)
    Mohd Firdaus Ibrahim
    ;
    Muammar Mohamad Isa
    ;
    Razaidi Hussin
    ;
    Syed Muhammad Mamduh Syed Zakaria
    ;
    Norhawati Ahmad
    ;
    Yuan C.K.J.
    ;
    Abdullah A.F.T.
    Fig is rich in nutrients and has a high market value due to its extensive application in promoting a nutritious food supply and supporting various medical disciplines. However, the equatorial climate in Malaysia poses significant difficulties for the large-scale cultivation of figs. Therefore, a Smart Monitoring System for controlled Greenhouse Plantation was proposed in this study to enable more efficient cultivation. The proposed system was equipped with LoRa and GSM to overcome the distance and data transmission limitations, developed using the Arduino Uno microcontroller. The proposed system consists of sensors to measure soil moisture, temperature, and humidity, while the data is transmitted using long-range LoRa communication to the control unit. The sensors circuit also has a solar power supply for convenient application in rural areas. The control unit is placed at a location with good data coverage. The system functioned well, and the monitoring parameter was accurately read, collected, and updated every 30 minutes. The optimal temperature, humidity, and soil moisture for growing fig is 22°C-33°C, > 60%, and 50%-60%, respectively. Real-time data monitoring enabled the sensors and control unit to achieve LoRa data transmission over a distance of 2.5 km. Any data exceeding the controlled parameters will trigger an alarm so that the user can perform corrective actions.
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