UPM Institutional Repository

Web-based GIS Decision Support System for Paddy Precision Farming


Che'Ya, Nik Norasma (2010) Web-based GIS Decision Support System for Paddy Precision Farming. Masters thesis, Universiti Putra Malaysia.


Precision farming offers numerous benefits and advantages to the farming community for farm productivity improvement. Previous research has led to the development of the offline based Precision Farmer©. This research extends further than the previous work by developing a Web Paddy GIS. The need for this arises due to limitations of Precision Farmer© such as portability, offline system accessibility and affordability by the end users which include semi-literate farmers. The objectives of this research were to design web-based Geographical Information System decision support system data model for paddy precision farming (Web Paddy GIS) and to develop and implement the web-based GIS decision support system for paddy precision farming using open source software. This new system has been developed to function on Windows and Linux platforms. User satisfaction tests were conducted concerning website acceptability and performance testing were made during this research. The research demonstrates that Web Paddy GIS can successfully run on both platforms. However, the Linux platform has proven to be superior to Windows, based on factors such as CPU usage and speed. The system was implemented for an area in Selangor, Malaysia. This research presents a novel contribution addressing web-based precision farming for the semi-literate paddy farming community of a developing country. The development of a Web Paddy GIS is very useful for paddy farmers, farm managers, decision makers and researchers.

Download File

Full text not available from this repository.

Additional Metadata

Item Type: Thesis (Masters)
Subject: Geographic information systems
Subject: Rice
Subject: Geodatabases
Call Number: ITMA 2010 11
Chairman Supervisor: Abdul Rashid Mohamed Shariff, PhD
Divisions: Institute of Advanced Technology
Notes: Abdul Rashid Mohamed Shariff, PhD
Depositing User: Haridan Mohd Jais
Date Deposited: 01 Mar 2013 08:13
Last Modified: 01 Mar 2013 08:13
URI: http://psasir.upm.edu.my/id/eprint/21129
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item