This report presents and reflects on the opportunities that new technological developments related to automation and precision agriculture (e.g. robotics) can offer to agriculture in developing countries. These technologies are mainly targeted to support farmers that struggle with the cost of labour when harvesting crops and to tackle the declining availability of manpower for general cropping operations.
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.
Over the past few decades, some countries in Asia have been more successful than others in addressing poverty and malnutrition. The key question is what policies, strategies, legislation and institutional arrangements have led to a transformed agricultural sector, effectively contributing to poverty alleviation and addressing malnutrition. The great majority of national policymakers within and outside the Asia-Pacific region are keen to understand the causes of agricultural development and transformation in successful countries in Asia.
The Malaysian story involves a farsighted leadership that has mobilized the considerable assets of a resource-rich country to translate a long-term vision of nation building into action and transformational results. This report analyzes what Malaysia did to achieve transformative results in agriculture.
Poor farmers seldom benefit from new agricultural technologies. In response, research and extension approaches based on agricultural innovation systems are popular. Often agricultural research organisations are the network brokers, facilitating the emergence of the innovation system. Based on an analysis of the Sustainable Modernization of Traditional Agriculture (MasAgro) initiative in Mexico, this viewpoint suggests that such organisations are more often suitable network brokers when the objective is the development and scaling out of a technology by itself.
Agricultural knowledge and innovation systems (AKIS) are in transition in many countries from a linear, top-down approach towards more flexible and interactive arrangements. This transition to a system more responsive to changing demands seeks to improve the adoption of innovation in order to strengthen the competitiveness of the agri-food sector. This article focuses on the research and innovation components of the AKIS to analyse the main developments of recent years and their drivers.
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.
This report assesses trends in investments and human resource capacity in agricultural R&D in countries in West Asia and North Africa (WANA), focusing on developments during 2009–2012. The analysis is based on information from a set of country factsheets prepared by the Agricultural Science and Technology Indicators (ASTI) program of the International Food Policy Research Institute (IFPRI), using comprehensive datasets derived from primary surveys targeting over 300 agencies in 11 countries during 2013–2014.
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 paper applies the framework for pro-poor analysis to welfare changes from a CGE-microsimulation model to analyze what are the better or worse models for agriculture modernization, and to estimate the contribution of growth and redistribution to changes in poverty in DRC. The findings indicate that labor-using technological change generates absolute and relative pro-poor effects whereas capital-using technological change leads to immiserizing growth.