Paper Info
Title
Digital Knowledge Ecosystem for Achieving Sustainable Agriculture Production: A Case Study from Sri Lanka
Abstract
Crop production problems are common in Sri Lanka which severely effect rural farmers, agriculture sector and the country's economy as a whole. A deeper analysis revealed that the root cause was farmers and other stakeholders in the domain not receiving right information at the right time in the right format. Inspired by the rapid growth of mobile phone usage among farmers a mobile-based solution is sought to overcome this information gap. Farmers needed published information (quasi static) about crops, pests, diseases, land preparation, growing and harvesting methods and real-time situational information (dynamic) such as current crop production and market prices. This situational information is also needed by agriculture department, agro-chemical companies, buyers and various government agencies to ensure food security through effective supply chain planning whilst minimising waste. We developed a notion of context specific actionable information which enables user to act with least amount of further processing. User centered agriculture ontology was developed to convert published quasi static information to actionable information. We adopted empowerment theory to create empowerment-oriented farming processes to motivate farmers to act on this information and aggregated the transaction data to generate situational information. This created a holistic information flow model for agriculture domain similar to energy flow in biological ecosystems. Consequently, the initial Mobile-based Information System evolved into a Digital Knowledge 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 agriculture production through crop diversification.
Year
DOI
Venue
2016
10.1109/DSAA.2016.82
2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Keywords
Field
DocType
Mobile-based Information System for Farmers,Digital Knowledge Ecosystem for Agriculture,Sustainable Agriculture Production
Information system,Information flow (information theory),Sustainable agriculture,Knowledge management,Agriculture,Knowledge ecosystem,Environmental economics,Agricultural diversification,Food security,Empowerment,Business
Conference
ISBN
Citations 
PageRank 
978-1-5090-5207-3
0
0.34
References 
Authors
6
13
Name
Order
Citations
PageRank
Athula Ginige153468.42
Anusha Indika Walisadeera2203.77
Tamara Ginige3153.38
Lasanthi N. C. De Silva4202.98
Pasquale Di Giovanni500.34
Maneesh Mathai600.34
Jeevani S. Goonetillake7112.68
Gihan N. Wikramanayake8395.68
Giuliana Vitiello942455.93
Monica Sebillo1022337.10
Genoveffa Tortora111477151.59
Debbie Richards1214523.26
Ramesh Jain1376301861.65