Technical R&D Projects  
   

 

Funded Projects


Agriculture Decision Support System Using Agri Data Warehousing, Data Mining & Web based Online Analytical Processing
 

Principal Investigator:
National University of Computer and Emerging Sciences (NU-FAST), Islamabad.
www.nu.edu.pk
Project Director:
Mr. Ahsan Abdullah ahsan@nu.edu.pk
Project Details:
Start Date: July 2006 Duration: 26 months
Project Cost: PKR 39.9 million Project Funding: PKR 30.58 million
Project Status: Completed; final project report submitted.


Executive Summary

Pakistan is an agricultural country, as large number of its exports rely on the agricultural projects. Every year significant agricultural yield loss occurs due to many reasons like pest attacks on cash crops, hostile weather conditions and most importantly poor on-the-farm and off-the-farm management practices. The main aim of this project is to meet the yield enhancement challenge by providing better agricultural data management through a continuous analysis of dynamic agricultural scenarios to bring about the second green revolution. Such data driven decision support system will help in decision making at multiple levels such as for, agricultural policy makers, extension workers, and most importantly the farmers.

The data driven decision making requires firstly, acquiring historical agricultural data from multiple sources like pest-scouting, yield, farmer demographics and social set-up surveys, agro-meteorological data collection and other related areas. Secondly, integrating these data sets using modern information management techniques such as Data warehousing, Data mining and Online Analytical Processing. Thirdly, developing the efficient tools for analytical exploration of this multi-variant data and lastly ensuring timely dissemination of extracted information through appropriate means. The key benefits of this project include:

  • Different Provincial and District governments will use the data warehouse to propose and evaluate the agricultural policies and develop programs to protect and promote agriculture in Pakistan.

  • By using this system, seed and fertilizer producers can compare yields and other information to help the stakeholders.

  • Different agriculture departments can more effectively target such locations where their services are most needed by using tehsil and district statistics, resulting in economic benefit for farmers.

  • Banks and Financial institutions use the available data and intricate relationships to identify their potential customers for opening new branches and extending credit facilities to farmers.

Fore more details: www.agroict.org

 

   
 
 

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