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IPICEX 2008
1
Enhancement of Paddy Monitoring Support System
Using GIS
Zakaria Mat Arof (Assoc Prof Dr) and Rafidah AliIATReM Research Centre, UiTM Perlis
3423
1.2345 ha(Yunus Ali)
Unknown Units: MADA iPex08
Single Lot
• National Interest
• Source of Income
• Small scale
• Interrelated
• Special treatment
PADDY
IPICEX 2008
2
3423
1.2345 ha(Yunus Ali)
Unknown Units: MADA iPex08
Adjacent Lots
34 23
1. 23 45 h a(Yu nu s Al i )
Unknown Units: MADA iPex08
Multiple Lots
Issues:
• Farmers
• Agencies
• Machinery
• Manpower
• Water
• Predator
• Diesease/uncertainty
IPICEX 2008
3
3 42 31.2 34 5 h a(Yu nu s Ali )
Unknown Units: MADA iPex08
MADA Lots
• Tremendous data
• Vast interaction
• Conventional system
What are the main issues..• The monitoring data is vast. The paddy development progress is frequently monitor.
Results require for quick remedy
• The mechanic of yield prediction not systematic and comprehensive. Total yield supports marketing strategy and national
interest.
• The two parties need to interact for mutual understanding and action. Small holders
staying at various places. Moving together is very essential
• Using analogue based data slowing the whole process from the beginning
IPICEX 2008
4
Objectives
• The main goal of the research is to develop a GIS based decision support
model for paddy management productivity
The subject matter
GIS CONCEPTUAL
Issue
agency
GIS
Attribute Data
agency
DecisionMaking
Geometric Data
Dynamic
Digital
Relational Data Structure
Friendly interface
Network possible
Manipulation efficient
Support Decision Making
IPICEX 2008
5
approach
VB mapOBJECT ArcGIS
GIS Server Interface Spatial link
USER DEVELOPER
ANALOG
MAP
DIGITAL MAP - care
on Hierarchy ISSUE.
Basic Data Requirement
IPICEX 2008
6
ATTRIBUTE
GEOMETRIC
G I S
Interaction module
Observe data on water level
/fertilizer/pesticide/growth/etc
predesigndatabase
acceptable by arcGIS as an attribute table
Field Observation
IPICEX 2008
7
Result
Project memeber
Non Project memeberWater depth variation
Spatial view
IPICEX 2008
8
Figure 13: Problem Area (“Lalang”)
ZONAL ANALYSIS
High Yield
IPICEX 2008
9
Unknown Units: MADA iPex08
Kaw BanjirUnknown Units: MADA iPex08
A Zone PlotMultizone PlotLot LotSinglelotMADA boundaryNeighbourhood lots.shpKaw Banjir
N
EW
S
Kawasan Banjir
OVERLAY ANALYSIS
Flooded area
Buffer 10 km
IPICEX 2008
10
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689 YIELD ANALYSIS Phase 1
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689 YIELD ANALYSIS Phase 2
IPICEX 2008
11
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689 YIELD ANALYSIS Phase 3
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689
LegendTTbasedMAPHASIL_103
0,00
0,01 - 2,91
2,92 - 5,40
5,41 - 7,06
7,07 - 10,00
Figure 15: Yield for Season 1, 2003
Tonne per hectare
19151916
1715
16911692
3685
1910
2730
1907
1044
1048
1918
1699
1687
1900
19061716
1917
1705
1695
1926
1700
1717
1686
1901
17111718
2734
1713
1045
1693
40424620
3673
2696
1914
1690
1913
16961697
3674
1689
Trend analysis
IPICEX 2008
12
A geographical area of concentration relative to the whole region being investigated
HOTSPOT ANALYSIS
Conclusion
• ICT-GIS based monitoring system is fast, easy and could enhance decision making on the productivity
• The whole process is modified hence the data collection system, storage and updating has to be modified accordingly and frequently updated.
