Home
  • English
  • ÄŚeština
  • Deutsch
  • Español
  • Français
  • GĂ idhlig
  • Latviešu
  • Magyar
  • Nederlands
  • PortuguĂŞs
  • PortuguĂŞs do Brasil
  • Suomi
  • Log In
    New user? Click here to register. Have you forgotten your password?
Home
  • Browse Our Collections
  • Publications
  • Researchers
  • Research Data
  • Institutions
  • Statistics
    • English
    • ÄŚeština
    • Deutsch
    • Español
    • Français
    • GĂ idhlig
    • Latviešu
    • Magyar
    • Nederlands
    • PortuguĂŞs
    • PortuguĂŞs do Brasil
    • Suomi
    • Log In
      New user? Click here to register. Have you forgotten your password?
  1. Home
  2. Research Output and Publications
  3. Faculty of Electronic Engineering & Technology (FKTEN)
  4. Journal Articles
  5. e-PADI: an iot-based paddy productivity monitoring and advisory system
 
Options

e-PADI: an iot-based paddy productivity monitoring and advisory system

Journal
Indonesian Journal of Electrical Engineering and Computer Science
ISSN
2502-4760
2502-4752
Date Issued
2019
Author(s)
M.A.F. Ismail
Universiti Malaysia Perlis
Mohd Nazrin Md Isa
Universiti Malaysia Perlis
S. N. Mohyar
Universiti Malaysia Perlis
Muhammad Imran Ahmad
Universiti Malaysia Perlis
M. N. M. Ismail
Universiti Malaysia Perlis
Rizalafande Che Ismail
Universiti Malaysia Perlis
A. Harun
Universiti Malaysia Perlis
Sohiful Anuar Zainol Murad
Universiti Malaysia Perlis
DOI
10.11591/ijeecs.v14.i2.pp852-858
Handle (URI)
https://ijeecs.iaescore.com/index.php/IJEECS/article/download/16752/12048
https://ijeecs.iaescore.com/index.php/IJEECS/article/view/16752/12048
https://hdl.handle.net/20.500.14170/9894
Abstract
Rice is source of food calories and protein.  This second most widely grown cereal crop is the staple food for more than half the world’s population especially in developing countries.  The ability of global rice production to meet population demands (now estimated at more than 5 billion and projected to rise to 8.9 billion by 2050) remains in uncertainty in the near future unless challenges in rice production are properly addressed [1-3]. This paper proposed an IoT (Internet of things)-based paddy productivity monitoring and advisory system Using Dash7 Wireless Network Protocol. All collected data will be stored in a database management system to enable users to retrieve data either from tablets, smartphones or computers. The heart of the system is the ATmega328p microcontroller that will control the payload of the wireless network of dash7 and read data from sensor nodes. Results show all data from sensor nodes in representation of graph for analysis purpose.
Subjects
  • e-PADI

  • Internet of things

  • Microcontroller

  • Wireless sensor netwo...

File(s)
research repository notification.pdf (4.4 MB)
Downloads
33
Last Month
5
Acquisition Date
Jan 13, 2026
View Details
Views
7
Acquisition Date
Jan 13, 2026
View Details
google-scholar
  • About Us
  • Contact Us
  • Policies