Towards an agriculture knowledge ecosystem :A social life network for farmers in Sri Lanka

We have developed and successfully trialled a Social Life Network (SLN); a Mobile Based Information System to support farming activities in Sri Lanka. It provides information required to support activities such as crop selection and cultivation planning in the context of farmer, farm location, season and task being performed. The system also provides a facility for farmers to sell farming related products and services to other farmers. The final system architecture evolved through a series of iterative relevance and design cycles based on Design Science Research methodology. In the first relevance cycle we identified farmer information needs, their current decision making patterns, and some possible ways to enhance their decision making process. In the first design cycles we developed the initial prototype to visualise a possible solution and in subsequent cycles a crop ontology to reorganise published crop information that would be queried in context and processes to empower farmers. Next we went through 2 cycles of creating functional prototypes, field testing with farmers and improving these to arrive at the final system. We noted that this system can enhance the flow of information in the agriculture domain by aggregating or disaggregating information produced by some stakeholders to be consumed by others. Based on this observation the overall architecture was reconceptualised as a Digital Knowledge Ecosystem

Design for Empowerment: Empowering Sri Lankan Farmers through Mobile-based Information System

We developed a mobile-based information system (MBIS) to empower users to improve their livelihood activities. To do so, we first developed an empowerment framework (since one does not exist) as a basis to develop the MBIS. In particular, we conducted this research to solve an agriculture over-production problem in Sri Lanka where farmers remain trapped in a poverty cycle. They cannot make informed decisions due to lack of access to timely, context-based actionable information to achieve a good revenue. We had to generate some essential information such as current production level in real-time by capturing farmers’ decisions such as what and how much to grow. For this purpose, we needed to empower farmers to actively engage them in informed decision-making process through the MBIS. In evaluating the impact of the MBIS, we found a statistically significant positive change in farmers’ empowerment levels based on measuring self-efficacy, sense of control, and motivation before and after they used the application. Commercial organizations have since adopted this mobile-based system in India and Sri Lanka to solve agricultural problems, in universities Africa to mitigate hidden hunger, and the Corporative Research Center in Australia to develop digital health applications to manage chronic diseases, which indicates the approach’s wide adoptability

A survey of semantic web technology for agriculture.

ABSTRACT. Semantic web technologies have become a popular technique to apply meaning to unstructured data. They have been infrequently applied to problems within the agricultural domain when compared to complementary domains. Despite this lack of application, agriculture has a large number of semantic resources that have been developed by large NGOs such as the Food and Agriculture Organization (FAO). This survey is intended to motivate further research in the application of semantic web technologies for agricultural problems, by making available a self contained reference that provides: a comprehensive review of preexisting semantic resources and their construction methods, data interchange standards, as well as a survey of the current applications of semantic web technologies

When Institutional Logics Meet Information and Communication Technologies: Examining Hybrid Information Practices in Ghana’s Agriculture

In this paper, we describe how changes in the availability of information artifacts—in particular, information and communication technologies (ICTs)—among smallholder farmers in Ghana, led to a process of hybridization of information practices, and how this process could be linked to underlying institutional change. We use the notions of institutional carriers and activity systems to study the evolution of the prevailing “smallholder” institutional logic of Ghanaian agriculture toward an incoming “value-chain” institutional logic concerned with linking farmers to output markets, improving the knowledge base in agriculture, and increasing its information intensity. We draw on a mixed-methods approach, including in-depth qualitative interviews, focus groups, observations, and detailed secondary quantitative data. We cultivate activity theory as a practice-based lens for structuring inquiry into institutional change. We find that information artifacts served to link the activities of farmers that were embedded in the smallholder logic with those of agricultural-development actors that promoted the value-chain logic. Hybridization occurred through the use of artifacts with different interaction modalities. In terms of conceptualizing change, our findings suggest that hybridization of the two logics may be an intermediary point in the long transition from the smallholder toward the value-chain logic

Efficient Decision Support Systems

This series is directed to diverse managerial professionals who are leading the transformation of individual domains by using expert information and domain knowledge to drive decision support systems (DSSs). The series offers a broad range of subjects addressed in specific areas such as health care, business management, banking, agriculture, environmental improvement, natural resource and spatial management, aviation administration, and hybrid applications of information technology aimed to interdisciplinary issues. This book series is composed of three volumes: Volume 1 consists of general concepts and methodology of DSSs; Volume 2 consists of applications of DSSs in the biomedical domain; Volume 3 consists of hybrid applications of DSSs in multidisciplinary domains. The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into useful decisions for decision makers

Understanding Game-based Approaches for Improving Sustainable Water Governance : The Potential of Serious Games to Solve Water Problems

The sustainable governance of water resources relies on processes of multi-stakeholder collaborations and interactions that facilitate knowledge co-creation and social learning. Governance systems are often fragmented, forming a barrier to adequately addressing the myriad of challenges affecting water resources, including climate change, increased urbanized populations, and pollution. Transitions towards sustainable water governance will likely require innovative learning partnerships between public, private, and civil society stakeholders. It is essential that such partnerships involve vertical and horizontal communication of ideas and knowledge, and an enabling and democratic environment characterized by informal and open discourse. There is increasing interest in learning-based transitions. Thus far, much scholarly thinking and, to a lesser degree, empirical research has gone into understanding the potential impact of social learning on multi-stakeholder settings. The question of whether such learning can be supported by forms of serious gaming has hardly been asked. This Special Issue critically explores the potential of serious games to support multi-stakeholder social learning and collaborations in the context of water governance. Serious games may involve simulations of real-world events and processes and are challenge players to solve contemporary societal problems; they, therefore, have a purpose beyond entertainment. They offer a largely untapped potential to support social learning and collaboration by facilitating access to and the exchange of knowledge and information, enhancing stakeholder interactions, empowering a wider audience to participate in decision making, and providing opportunities to test and analyze the outcomes of policies and management solutions. Little is known about how game-based approaches can be used in the context of collaborative water governance to maximize their potential for social learning. While several studies have reported examples of serious games, there is comparably less research about how to assess the impacts of serious games on social learning and transformative change

Market and price decision enhancement services for farmers in Uganda

Door kleinere winstmarges en steeds grotere beperkingen op markten en productprijzen is besluitvorming in de agrarische sector in ontwikkelingslanden niet alleen belangrijker maar ook uitdagender geworden. Het doel van dit onderzoek is “het ontwikkelen, implementeren en evalueren van een decision enhancement studio op het gebied van markten en prijzen voor boeren in Oeganda”. De belangrijkste onderzoeksvraag luidt: “hoe kunnen Oegandese boeren hun besluitvorming aangaande markten en prijzen verbeteren?” Op basis van verkennend veldonderzoek en literatuurstudies is een artefact ontwikkeld in de vorm van een Farmers’ Decision Enhancement Studio (FDES), die bestaat uit een Market Identification Suite, a Price Determination Suite en een Communication Suite. De studio met bijbehorende services is geprototyped en geïmplementeerd in de Oegandese districten Gulu en Soroti. De implementatie vond voornamelijk plaats aan de hand van open source tools en van de beschikbare middelen en capaciteiten van de boeren. Er werd een open source sms gateway gebruikt om de studioprestaties te verifiëren en te testen. De resultaten laten zien dat de boeren die voor uitdagingen op het gebied van markt- en prijsbesluiten staan, baat hebben bij de studio