shifali choubey gise lab iitb decision support system for farmers
TRANSCRIPT
SHIFALI CHOUBEYGISE LAB
IITB
Decision Support System For Farmers
Agenda
Factors affecting farming activityData collected from farmersMotivationOur Approach
Normalization Report generation Dimensional Analysis
Factors affecting farming activity
Location.Type of soil.Time of sowing.Type of Fertilizer/Insecticide used.Frequency of irrigation.Frequency of hoeing.
Data collected from farmers
Motivation
Best Farming Practices Crop Analysis Usage pattern of insecticides/fertilizer Frequency of irrigation Location wise analysis
Our Approach
Normalization. Data cleansing. Huge database divided into 17 tables. Entity relationship diagram for normalized tables.
Our Approach
Generated Reports. Tool Used: Jasper Soft. Reports in from of tables, charts and crosstabs.
Our Approach
Dimensional Analysis Data Warehouse Star Schema Cube Operations
What is a Data Warehouse ?
A data warehouse is a subject-oriented, integrated, nonvolatile, time-variant
collection of data in support of management's decisions.
- WH Inmon
Data stored for historical period. Data is populated in the data warehouse on daily/weekly basis depending upon the requirement.
Data stored for historical period. Data is populated in the data warehouse on daily/weekly basis depending upon the requirement.
Can I see how the application of fertilizer on particular crop affected the yield?
Can I see how the application of fertilizer on particular crop affected the yield?
Data from multiple sources is integrated for a subject
Data from multiple sources is integrated for a subject
Identical queries will give same results at different times. Supports analysis requiring historical data
Identical queries will give same results at different times. Supports analysis requiring historical data
Star Schema
A technique for modeling data that is optimized for end-user
access that utilizes Fact and Dimension tables
Fact table: It consists of the measurements, metrics or facts.
Dimension table: Dimensions are particular angle or perspective that you see the facts.
Star Schema
FARMING DATA
Farming ID
Date Key (FK)
Crop Key (FK)
Farmer Key (FK)
Location Key (FK)
Cost of cultivation
Cost of input
Yield
Net Profit
Gross Profit
Crop
Crop Key (PK)
Crop Name
Location
Location Key (PK)
District
Village
Time
Date Key
Date
Farmer
Farmer Key
Farmer Name
Data Cube
Data Cubes allow data to be modeled and viewed from multiple perspectives
Perspectives are modeled as dimensions (axes)
Each cell in the cube represents some aggregation of the data (avg, sum, etc.)
Cube Operations
Roll-up (drill-up) Summarize data by climbing up concept
hierarchy or dimension reductionDrill-down (Roll-down)
From summary level to detail level by introducing new dimensions
Slice Selection on one dimension of the cube
Dice Selection on two or more dimensions
Pivot Rotation of the data axes for different
visualizations