The purpose of this report is to provide some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs. It does this by exploring the way in which this transformation agenda reframes agricultural research and innovation.
This document is accompanyng the volume Public Agricultural Research in an Era of Transformation: The Challenge of Agri-Food System Innovation (available in TAPipedia here), which provides some of the groundwork in answering the question of how the CGIAR system and other public agricultural research organisations should adapt and respond to an era of transformation framed by the SDGs.
In this paper is presented insights from a co-design process with private farm advisers and ask: What enables farm advisers to engage with digital innovation? And, how can digital innovation be supported and practiced in smart farming contexts? Digital innovation presents challenges for farmers and advisers due to the new relationships, skills, arrangements, techniques and devices required to realise value for farm production and profitability from digital tools and services.
As digitalisation transforms agriculture, the implications of cumulative innovation processes are essential to consider in order to mitigate risk and capitalise on opportunities. One project that involves imagining the future of the sector and aims to develop the necessary tools and infrastructure is the Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO) Digiscape Future Science Platform (FSP). This paper explores the policy framework encompassing these technologies and elucidates considerations for future governance in Australia and beyond.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
Este folleto describe brevemente el proyecto "Desarrollo de Capacidades para los Sistemas de Innovación Agrícola en El Salvador", implementado por la FAO en conjunto con el Centro Nacional de Tecnología Agropecuaria y Forestal “Enrique Álvarez Córdova” (CENTA), del Ministerio de Agricultura y Ganadería (
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.
Este documento explora las demandas tecnológicas y de extensión que los principales actores en el entorno institucional esperan que el INTA atienda, de cara al 2030.
El objetivo de esa tesis es identificar, caracterizar, analizar y definir los modelos de toma de decisiones en los modelos de organización productiva del Noreste de la Provincia de La Pampa (Departamentos Chapaleufú, Trenel y Maracó), como aporte para la mejora de la gestión del Sistema de Extensión Rural y Transferencia de Tecnología del Instituto Nacional de Tecnología Agropecuaria