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.
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.
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.
Brazilian agriculture is a success story. The country that until the 1960s systematically received food donations from abroad. and up to the 1980s was still a large food importer, had its agriculture profoundly changed. The traditional agriculture that prevailed in Brazil until the 1970s was progressively transformed in the following decades into a modern and highly competitive agriculture based on science.
The development community has shown increasing interest in the potential of innovation systems and value chain development approaches for reducing poverty and stimulating greater gender equity in rural areas. Nevertheless, there is a shortage of systematic knowledge on how such approaches have been implemented in different contexts, the main challenges in their application, and how they can be scaled to enable large numbers of poor people to benefit from participation in value chains.
Agricultural Technology Management Agency (ATMA) is a single-window institutional arrangement for technology and information dissemination at the district level and an attempt was made to assess the dairy extension system in the context of ATMA in Guntur district of Andhra Pradesh during 2016. The study revealed that along with organized dairy extension services, ATMA is an important alternative to provide extension services to the dairy sector as animal husbandry sector is an existing allied sector for the ATMA.
This book chapter reviews the literature on agricultural innovation, with the threefold goal of (1) sketching the evolution of systemic approaches to agricultural innovation and unravelling the different interpretations; (2) assessing key factors for innovation system performance and demonstrating the use of system thinking in the facilitation of processes of agricultural innovation by means of innovation brokers and reflexive process monitoring; and (3) formulating an agenda for future research.