DWH-Ahsan Abdullah 1 Data Warehousing Lecture-37 Case Study: Agri-Data Warehouse Virtual University of Pakistan Ahsan Abdullah Assoc. Prof. & Head Center.

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Presentation transcript:

DWH-Ahsan Abdullah 1 Data Warehousing Lecture-37 Case Study: Agri-Data Warehouse Virtual University of Pakistan Ahsan Abdullah Assoc. Prof. & Head Center for Agro-Informatics Research FAST National University of Computers & Emerging Sciences, Islamabad

DWH-Ahsan Abdullah 2 Background

3 Area under study

DWH-Ahsan Abdullah 4 Area under study: Map KeyMarkaz 1Bosan 2Qadirpurran 3Multan 4 Makhdum Rashid 5 Mumtazabad 6 Shujabad 7 Hafizwala 8 Jalalpur Pirwala 9 Qasba Marral Graphics

DWH-Ahsan Abdullah 5 Major Players

DWH-Ahsan Abdullah 6 Pests & Predators Pests Predators Source: United States Department of Agriculture (USDA) Graphics

DWH-Ahsan Abdullah 7 Economic Threshold Level (ETL_A)

DWH-Ahsan Abdullah 8 ETL_A: Graph Time ETL_A Pest Population Economic Injury Graphics

DWH-Ahsan Abdullah 9 The need

DWH-Ahsan Abdullah 10 The need: IT in Agriculture

DWH-Ahsan Abdullah 11Agro-Informatics   “I.T. sector is at the heart of the economic revival of Pakistan” President of Pakistan, Launching of VU, Mar. 23,   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. ALL Goes to graphics

DWH-Ahsan Abdullah 12 Agro-Informatics: Interesting URL To know more about Agro-Informatics, visit ALL Goes to graphics

DWH-Ahsan Abdullah 13 How to go about?

DWH-Ahsan Abdullah 14 The 12-step Approach of Shaku Atre ALL Goes to graphics

DWH-Ahsan Abdullah 15 Step-1: Determine User’s needs

DWH-Ahsan Abdullah 16 Step-1: Determine Users needs

DWH-Ahsan Abdullah 17 Steps-2&3: Determine DBMS Sever & Hardware Platform

DWH-Ahsan Abdullah 18 Step-4: Information & Data Modeling Dimensional Modeling Graphics

DWH-Ahsan Abdullah 19 Simplified ERD Step-4: Information & Data Modeling Other field inputs such as irrigation, fertilizer etc. not included as data not available Graphics

DWH-Ahsan Abdullah 20 Logical & Physical Design Step-4: Information & Data Modeling (optional) KEY WFN: White Fly Nymph WFA: White Fly Adult W: White B: Brown S: Small Larvae L: Large Larvae Graphics

DWH-Ahsan Abdullah 21 Step-5: Construct Metadata Repository

DWH-Ahsan Abdullah 22 Step-5: Surprise case 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