The innovation of agricultural systems management is a determinant factor that guarantees adaptation to a new paradigm of global economy, environmental protection, and social requirements. The conventional concepts of innovation, applicable to new products and processes, do not consider many characteristics of the agricultural sector, such as social innovation and innovation resulting from new or renewed processes.
Swedish agricultural companies, especially small farms, are struggling to be profitable in difficult economic times. It is a challenge for Swedish farmers to compete with imported products on prices. The agricultural industry, however, supports the view that through business model innovation, farms can increase their competitive advantage. This paper identifies and describes some of the barriers Swedish small farms encounter when they consider business model innovation. A qualitative approach is used in the study. Agriculture business consultants were interviewed.
In this paper, is described the market and social forces which influence the emergence of social innovations through various processes. The authors then look into the evolutionary pathways for social innovations , to avoid inertia and spur initiatives to bridge the social gap in an inclusive manner through mobilization of youth in particular. The ecosystem for social open innovations provides scope for connecting corporations
The IFAD-NUS project, implemented over the course of a decade in two phases, represents the first UN-supported global effort on neglected and underutilized species (NUS). This initiative, deployed and tested a holistic and innovative value chain framework using multi-stakeholder, participatory, inter-disciplinary, pro-poor gender- and nutrition-sensitive approaches.
The General objective of the present study was to examine the present situation of food security in regard to agricultural production and consumption. Specific objectives are to identify and analyze (1) the modern resource efficient agricultural technologies, (2) their possible contribution in achieving food security with available resources, and (3) the potential contribution of agricultural extension and education for sustainable farming in the Kingdom.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated
The Australian story of farmer innovation in Conservation Agriculture reveals a complex interplay of policy, economics, science, and farming. Farmer experimentation with Conservation Agriculture began in the 1960's and has continued to this day where around 80%-90% of Australia's 23.5 million hectares of winter crops are now grown using Conservation Agriculture principles. This remarkable achievement is the result of both sustained investment in agricultural research and development and farmer innovation.
This paper details the analytical framework used for developing a nested understanding of systemic innovation capacity in an AIS. The paper then introduces the two case studies, along with the data and methods of analysis, followed by a presentation of the results as timelines of configurations of capabilities at different levels of the AIS.
We assess a new method for assessing AC at a sectoral level and operationalize AC measurement based on an SLA to assess the ability of the European agricultural sector to adapt to extreme droughts.
In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given