This paper presents how Digital Knowledge Ecosystem such as “Govi Nena” (translates as agriculture intelligence) can be used to provide a more effective and practical solution to eliminate the inefficiencies in agricultural markets and achieve higher productivity and price stability. In order to establish the framework to analyze the system, this paper uses a set of hypothetical scenarios faced by value chain actors based on a review of the literature, established knowledge and recent developing country experiences. The scenario analysis reveals that “Govi Nena” enables farmers to make effective production decisions, deepens the level of value chain integration, and enhances the level of welfare for the society as a whole.

1 Introduction
 2 Overview of the System
 3 Scenario Analysis
  3.1 Farmer Planning to Maximize Profits by Attemptinga New Crop Variety
  3.2 Contract Farmer Management
  3.3 Finance Institution Planning to Provide AgriculturalLoan Products to Farmers
  3.4 National Cultivation Planning by the Government
  3.5 Research Organizations Disseminating Latest AgriculturalPractices.
 4 Conclusion
 References

• Lalinda Sugathadasa(University of Colombo, Colombo, Sri Lanka)
• Athula Ginige(School of Computing, Engineering & Mathematics, Western Sydney University, Sydney, Australia)
• Gihan Wikramanayake(School of Computing, University of Colombo, Colombo, Sri Lanka)
• Jeevani Goonetillake(School of Computing, University of Colombo, Colombo, Sri Lanka)
• Lasanthi De Silva(School of Computing, University of Colombo, Colombo, Sri Lanka)
• Anusha I Walisadeera(Dept. of Computer Science, University of Ruhuna, Matara, Sri Lanka)