The biodiversity of food plants is vital for humanity's capacity to meet sustainability challenges. This goal requires the rigorous integration of plant, environmental, social and health sciences. It is coalescing around four thematic cornerstones that are both interdisciplinary and policy relevant.
Background: Opportunities to use data and information to address challenges in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized.
The chapter is a part of the book Integrated Agricultural Research for Development: from Concept to Practice.
This is an internal document for the phase I of CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). The phase II capacity development strategy can be found here: https://hdl.handle.net/10568/82591. Capacity enhancement is a central priority for CCAFS.
Global climate change and food security are complex and closely intertwined challenges. A key requirement for dealing with them successfully is that agriculture becomes more eco-efficient. As researchers work toward this goal, they must always ask, “Efficiency for whom?” Finding answers to this question requires that research be conducted from a systems perspective in a broadly participatory manner involving complex collaborative arrangements.
The government of Ethiopia gives great attention to agriculture and rural development for the country’s economy development. Dairy development is one of the components of agricultural development. To improve dairy production in certain locality, dairy producers should able to access and use appropriate knowledge for the particular problem at the right time. This research was conducted to assess agricultural knowledge management system and its challenges and opportunities of knowledge management processes in Bure district.
The IPMS project proposes to ‘contribute to improved agricultural productivity and production through market-oriented agricultural development, as a means for achieving improved and sustainable livelihoods for the rural population’ in Ethiopia. To accomplish this goal the project supports development and (action) research on innovative technologies, processes and institutional arrangements in three focus areas i.e.
Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.
Over the past decades, Brazilian agriculture has played an important role in the international market, in response to growing global demand for products, services and food security. This achievement was in a large extent powered by the ability to generate knowledge and the actions promoted by science and technology institutes.
This review is an information resource for development practitioners, development agencies and funders of development activities who have an interest in assessing capacity for agricultural innovation in developing countries, including the developing regions of sub-Saharan Africa. In the context that further investment in the agricultural capacity of developing countries is recognised as a development priority, the review explores what is known about the “tools” (i.e. concepts and methods) which are available to guide assessment of innovation capacity in these countries.