The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
The aim of the present article is to propose a new approach to improve interactions between stakeholders, using traceability and contractualization. Faced with a crisis generated by volatility, collective action, incorporating all stakeholders, including consumers, is needed: but what exactly must be done? The article first describes the SDSC approach which combines three main concepts: Extended Demand, Extended Supply and Demand-Supply Chain (DSC), and then goes on to detail how a collaborativemodeling tool needs to be built up.
In this paper the developments in agricultural research and education in the Netherlands will be presented in a historic context and the recent evolutions in agriculture-based research and knowledge systems are evaluated. It is concluded that societal needs, scientific discoveries, and public and private funding are the driving forces behind change. However, most important for the quality and vigour of knowledge centres is the ability to adapt to change
Este artículo tiene por propósito comparar las redes de compras públicas para la agricultura campesina y familiar en los programas de alimentación escolar de los municipios de Granada (Antioquia-Colombia) y São Lourenço do Sul (Rio Grande do Sul-Brasil) en los años de 2016 y 2017. Para tal fin, se construyó un abordaje teórico-metodológico desde la perspectiva de las redes de política pública, articulado a dos metodologías, el Análisis de Redes Sociales y la comparación de Sistemas de Máxima Diferencia.
In light of the discussion on ‘best-fit' in pluralistic advisory systems, this article aims to present and discuss challenges for advisory services in serving various types of farmers when they seek and acquire farm business advice.The empirical basis is data derived from four workshops, five interviews with staff from advisory organizations, and interviews with 11 farmers.Emerging configurations serve different types of farmers,that is, private advisors serve different clients in different ways; these could be considered subsystems within the overall advisory system.
El aceite de palma es estigmatizado en los mercados mundiales debido a problemas derivados de prácticas de establecimiento que han ocasionado la devastación de grandes extensiones de bosques tropicales en el sudeste de Asia. Este estigma es especialmente evidente en países desarrollados, en donde los consumidores exigen productos respetuosos del medio ambiente. Dicha situación impuso la necesidad de certificar si el aceite de palma que llega a los mercados de altos ingresos proviene de plantaciones que llevan a cabo prácticas sostenibles.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
This article combines innovation intermediary and technological innovation systems literature to develop fundamentals of an approach for analysing how organisations acting as intermediaries support firms in eco-innovation and potentially contribute to technological innovation system functions. The operationalisation of the analytical approach is illustrated using case studies on a total of eight support organisations acting as intermediaries in the region of Scania, Sweden and North Rhine Westphalia, Germany.
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
There have been repeated calls for a ‘new professionalism’ for carrying out agricultural research for development since the 1990s. At the centre of these calls is a recognition that for agricultural research to support the capacities required to face global patterns of change and their implications on rural livelihoods, requires a more systemic, learning focused and reflexive practice that bridges epistemologies and methodologies.