Mohamed MSA1*, Wathugala DL1, Indika WA2, Madushika MKS2 and Athula Ginige3
1Department of Crop Science, Faculty of Agriculture, University of Ruhuna, Mapalana Kamburupitiya, Sri Lanka
2 Department of Computer Science, Faculty of Science, University of Ruhuna, Sri Lanka
3School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney 2751, Australia
Abstract
Various issues in crop production and related industries pose significant impediments to economic growth and
food security in Sri Lanka. The key issue identified in the agriculture sector is the lack of access to relevant and
timely information in a format that is actionable and context -specific. However, information and communication
technology (ICT) has the potential to address these gaps and revolutionise agriculture, as it has done in many
other countries. The study employed the Design Science Research (DSR) approach to develop innovative artefacts
that provide vital information to farmers during crop production. This paper demonstrates various iterative steps
in the artefact construction and evaluation processes and shows how context-specific, relevant and actionable
information represented through the user interfaces of two mobile applications: “Govi-Nena Farmer” and “Govi-
Nena Home Gardening”. The study further elaborates how the key challenges were addressed and how the
conceptual solution was proven to work in a real-world scenario with the evidence of knowledge satisfaction
analysis using the 5-point Likert scale method with 32 app users. The works initially modelled crop and variety
selection based on agro-ecological regions (AERs), seasons, and pre-planting and cultivation activities of the
farming life cycle. Packages of practice (PoP) workbooks were then developed, tailored to the farmer ’s context
using these models. The analysis of PoP knowledge revealed that every user was satisfied (p <0.05) with the
information provided in the app, especially data accuracy (Z=4.221), fertilizer application guidelines (Z=4.170)
and information quality (Z=3.785), all of which reached a very high level of satisfaction. Hence, the PoP enabled
decision support system has been embedded into the ontological crop knowledge base of the mobile -based systems
to assist farmers in making timely quality decisions to achieve target goals.
Keywords: Crop yield, Decision making, Design science research, Digital extension system, Home Gardening,
Information gaps, Mobile application, Packages of practice, Sustainable agriculture
Full Text :
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