This book aims to identify the characteristics of innovative farmers and suggests policy strategies to encourage agricultural innovations. The analysis shows that agricultural innovations are taking place in Turkey and various public and private stakeholders contribute to the development and adoption of innovation in agriculture. Agricultural enterprises and cooperatives, clusters of innovation, non-governmental organizations, research institutes, government, and international institutions play an important part in the collaborative effort to create and disseminate innovation.
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.
This brief explores the definition of Agricultural Knowledge and Information System (AKIS) and the inventory of AKIS in Europe.
This paper offers a perspective on the Agricultural Knowledge and Innovation System. The first chapter gives an introduction to the subject and explains the role of SCAR and of the Strategic Working Group AKIS. The second chapter investigates the AKIS and their role in innovation, including the policy context of the European Innovation Partnership “Agricultural productivity and sustainability”. Chapter 3 discusses the relation in a globalised world between Agricultural Research (AR) and Agricultural Research for Development (ARD).
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
This report assesses trends in investments, human resource capacity, and research outputs in agricultural R&D -excluding the private (for-profit) sector- in LAC. It is an update of Stads and Beintema (2009), covering a more complete set of countries and focusing primarily on developments during 2006-2012/2013.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
América Latina, el Caribe y el mundo enfrentan una crisis que incluye, entre otras, dos dimensiones fundamentales: el dramático deterioro ambiental y la profunda debacle alimentaria. Dicha crisis se caracteriza por el acaparamiento, concentración y extranjerización de las tierras de los campesinos, de los indígenas originarios y de los afrodescendientes solo comparable con la que se dio durante la Colonia.
The project of Innovation for Agriculture Training and Education (innovATE) seeks to strengthen the full range of institutions that train and educate agricultural professionals in developing and emerging economies. This capacity building will serve to build an equipped agricultural workforce that can lead to increased social and economic growth.
This research aimed to figure out the attitude and readiness of agriculture extension officers in using the Information and Communication Technology. Data collection was done through a survey with total sample 60 respondents. Data gained were primary data from questionnaire filling by respondents who were all extension officers in Food Security and Extension Implementation Agency. Data analyses used in this research were reliability and validity analysis, Fishbein’s Attitude Model, and regression analysis which continued with F and t test.