Visible and near-infrared diffuse reflectance spectroscopy (VIS-NIR) has shown levels of accuracy comparable to conventional laboratory methods for estimating soil properties. Soil chemical and physical properties have been predicted by reflectance spectroscopy successfully on subtropical and temperate soils, whereas soils from tropical agro-forest regions have received less attention, especially those from tropical rainforests. A spectral characterization provides a proficient pathway for soil characterization.
Small-scale farmers in the Brazilian Amazon collectively hold tenure over more than 12 million ha of permanent forest reserves, as required by the Forest Code. The trade-off between forest conservation and other land uses entails opportunity costs for them and for the country, which have not been sufficiently studied. We assessed the potential income generated by multiple use forest management for farmers and compared it to the income potentially derived from six other agricultural land uses.
There is a blossoming of voluntary certification initiatives for sustainable agro-food products and production processes. With these certification initiatives come traceability in supply chains, to guarantee the sustainability of the products consumed. No systematic analysis exists of traceability systems for sustainability in agro-food supply chains.
In recent years, the international status of agriculture in the BRICS countries—Brazil, Russia, India, China and South Africa—has been continuously improved. In 2018, the gross agricultural production of the BRICS countries accounted for more than 50% of the world’s total. Further strengthening the developing cooperation of the BRICS countries is of great significance for ensuring global food security.
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.
This paper reviews the current policies and programmes of EIARD members in relation to capacity development and makes recommendations on future directions. The main issues and recommendations will be incorporated into a policy brief in which specific policy options or guidelines will be presented. The goal of EIARDs strategy is to reduce poverty (i.e. MDGs); to promote economic growth, food security, and sustainable management of natural resources in developing & emerging economy countries and to contribute to global development issues and knowledge generation.
This paper discusses issues related to support for capacity strengthening for agricultural research for development (ARD) by member countries of the European Initiative for Agricultural Research for Development. It summarises the findings of an analysis of the policies, programmes and projects in capacity strengthening for ARD of fourteen European countries. These policies, programmes and projects were previously examined in relation to a common set of criteria covering aspects of needs identification, design, implementation, assessment, documentation and sharing of information.
This book collects 24 stories of change from the EU-funded CDAIS project. Launched in 2015, the overall objective of CDAIS is to make agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agri-business and consumers. The stories are about the eight pilot countries - in Africa, Asia and Latin America - in which CDAIS operates. Countries and title of the 24 stories are provided below, with date of last update for each story.
Angola:
01) From farm to agri-business (February 2018)
This trainers’ manual on capacity needs assessment was produced as part the Capacity Development for Agricultural Innovation Systems (CDAIS) project. This involves a global partnership (Agrinatura, the Food and Agriculture Organization of the United Nations [FAO] and national partners from eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods.
This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.