This chapter examines the current state of agricultural extension reforms and their linkages to the agricultural research system reforms in India and identifies the policy options and strategic priorities for making it relevant, responsive, and efficient. It explores how the National Agriculture Research Systems (NARS) responded with its own set of reforms that were sought to increase its relevance and its linkages to the extension system reforms.
The paper sets out the general concepts and principles of the Agricultural Innovation Systems approach, and its application to agricultural research and development, particularly in sub-Saharan Africa. It is intended for those interested in applying new approaches to research with farmers, NGOs and the private sector that lead to developmental outcomes.
The central question in increasing productivity and generating incomes in African agriculture is how to move from technology generation to innovations that respond to constraints of agricultural production along the value chains. This question was considered in the context of subsistence agriculture, smallholder production systems, inefficient marketing and investments by the private sector, a preponderance of public interventions, and inadequate policies.
Agricultural innovation systems require strong linkage between research and extension organizations in particular, and among the various actors engaged in the agricultural sector in general. In the context of Ethiopia and the Amhara regional state, the agricultural research and extension system is characterized by a large number of actors in a fragmented and underdeveloped innovation system, resulting in very low national and regional innovation capacities. Farmers are generally viewed as passive recipients of technology.
En este capítulo se presenta la transferencia tecnológica desde una perspectiva sistémica para luego describir el relacionamiento entre las capacidades de innovación y las funciones de los sistemas. Posteriormente se procede a vincular los indicadores del IDIC con los elementos del modelo sistémico de congruencia organizacional y las capacidades de innovación asociadas a las funciones del sistema.
This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
This chapter presents an analytic framework to identify agricultural innovations that are sustainable and suitable for the poorest and most vulnerable parts of the population. The framework contains a set of tools to collect and evaluate information on appropriate innovations based on relevant criteria. It considers the dimensions of environmental resilience, economic viability, and social sustainability, as well as technical sustainability considering important properties of the innovation itself.
This chapter examines processes to inform decision making and manage innovation at four generally defined levels of the innovation system for agriculture; policy, investment, organization, and intervention and also identifies methods relevant at each level for assessing, prioritizing, monitoring, and evaluating innovation processes so that practitioners have the information needed for decision making and for managing limited resources effectively.
Climate change and climate variability are creating negative impacts to agriculture. It affects both food security and crop and livestock production. In the process, it affects the livelihood of communities. Climate-smart agriculture is seen as an alternative to mitigate the challenges of climate change. Literature studies were obtained from journal articles on capacity development. The problem investigated is that climate-smart agriculture (CSA) is a recent concept which needs to be understood with climate change, and the extension advisors do not have requisite skills.
A paradigm shift is needed to reposition the world’s AFS from being an important driver of environmental degradation to being a key contributor for the global transition to sustainability. Such a transformation can only happen through both generation of new knowledge and enhanced translation of knowledge into use. This achievement requires the generation of new knowledge and enhanced translation of knowledge into use, entailing considerable efforts in terms of research and innovation.