This document discusses data warehousing and agro-informatics in Pakistan. It provides background information and identifies key areas and players in agriculture. It discusses pests, predators, and economic threshold levels. The need for information technology in agriculture is explained. A 12-step approach to developing an agro-informatics system is outlined, including determining user needs, hardware/software selection, data modeling, and constructing a metadata repository. Developing correlations between pest and predator populations is also addressed.

1. DATA WAREHOUSING
1
Background
Area under study

2. AREA UNDER STUDY: MAP
2
Key Markaz
1 Bosan
2 Qadirpurran
3 Multan
4 Makhdum Rashid
5 Mumtazabad
6 Shujabad
7 Hafizwala
8 Jalalpur Pirwala
9 Qasba Marral
Graphics

3. MAJOR PLAYERS
3

4. PESTS & PREDATORS
4
Pests Predators
Source: United States Department of Agriculture (USDA)
Graphics

5. ECONOMIC THRESHOLD LEVEL (ETL_A)
5

6. ETL_A: GRAPH
6
Time
ETL_A
Pest
Population Economic Injury
Graphics

7. THE NEED
7
The need: IT in Agriculture

8. AGRO-INFORMATICS
 “I.T. sector is at the heart of the economic revival of Pakistan” President of
Pakistan, Launching of VU, Mar. 23, 2003.
 Agriculture is the backbone of our economy, about 70% of the population is
dependent on it.
 IT is an enabler, and has the potential to benefit everyone when applied in
Agriculture.
 IT + Agriculture: A win-win scenario.
8
ALL Goes to graphics

9. AGRO-INFORMATICS: INTERESTING URL
9
To know more about Agro-Informatics, visit
www.nu.edu.pk/cairindex.asp
ALL Goes to graphics

10. HOW TO GO ABOUT?
10

11. THE 12-STEP APPROACH OF SHAKU ATRE
11
ALL Goes to graphics

12. STEP-1: DETERMINE USER’S NEEDS
12

13. STEP-1: DETERMINE USERS NEEDS
13

14. STEPS-2&3: DETERMINE DBMS SEVER & HARDWARE PLATFORM
14

15. STEP-4: INFORMATION & DATA MODELING
15
Dimensional Modeling
Graphics

16. STEP-4: INFORMATION & DATA MODELING
16
Simplified ERD
Other field inputs such as irrigation, fertilizer etc. not included as data not
available
Graphics

17. STEP-4: INFORMATION & DATA MODELING
17
Logical & Physical Design
(optional)
KEY
WFN: White Fly Nymph
WFA: White Fly Adult
W: White
B: Brown
S: Small Larvae
L: Large Larvae
Graphics

18. STEP-5: CONSTRUCT METADATA
REPOSITORY
18

19. STEP-5: SURPRISE CASE
-0.2
-0.15
-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
0.3
Jassid
WhiteFly_Nymph
WhiteFly_Adult
Thrip
Mite
SBW
ABW_White_Eggs
ABW_Brown_Eggs
ABW_Larvae_Small
ABW_Larvae_Large
PBW_RF
PBW_Bolls
Correlation
19
Ball Worm Complex
Sucking pests
SBW: Spotted Ball Worm
ABW: Army Ball Worm
PBW: Pink Ball Worm
If pest population is low, predator population will also be low, because there will
be less “food” for predators to live on i.e. pests.
Graphics