BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250807T064757EDT-3085mLDz3v@132.216.98.100 DTSTAMP:20250807T104757Z DESCRIPTION:'Digital Knowledge Ecosystem for Agribusiness\; Transforming Ag riculture'\n\nAbstract\n\nUnited Nations in 2015 have formulated 17 Sustai nable Goals\; “No Poverty”\, “Zero Hunger” and “Good Health and Well-Being ” included. Sustainable well-informed and coordinated agriculture sector i s one of the corner stones to achieve these goals. A highly visible sympto m of an uncoordinated market is a regular occurrence of oversupply situati ons leading to large quantities of harvest getting wasted trapping farmers into a poverty cycle.  In 2011 a team consisting of researchers from 7 Un iversities across 4 continents embarked on a project to develop a mobile b ased information system for agriculture domain\, initially for farmers in Sri Lanka to address the overproduction problem. A deeper analysis reveale d that the root cause was farmers and other stakeholders in the domain not receiving right information at the right time in the right format. Inspir ed by the rapid growth of mobile phone usage among farmers a mobile-based solution is sought to overcome this information gap. Farmers needed both p ublished crop knowledge  (quasi static) as well as real-time situational i nformation (dynamic) such as current crop production and market prices. Th is situational information is also needed by other key stakeholders of the domain to ensure food security through effective supply chain planning wh ilst minimizing waste. We developed a user centered agriculture ontology t o convert published quasi static information to actionable information. We adopted empowerment theory to create empowerment-oriented farming process es to motivate farmers to act on this information and aggregated the trans action data to generate situational information. This created a holistic i nformation flow model for agriculture domain similar to energy flow in bio logical ecosystems. Consequently\, the system evolved into a Digital Knowl edge Ecosystem that can predict current production situation in near real enabling government agencies to dynamically adjust the incentives offered to farmers for growing different types of crops to achieve sustainable agr iculture production through crop diversification.\n DTSTART:20170719T200000Z DTEND:20170719T211500Z SUMMARY:BRIDGE Webinar: Athula Ginige\, Western Sydney University URL:/desautels/channels/event/bridge-webinar-athula-gi nige-western-sydney-university-268915 END:VEVENT END:VCALENDAR