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.

This guide is developed by synthesizing successful field experiences within a project known as Improving Productivity & Market Success of Ethiopian Farmers Project or IPMS Project. The main purpose of the IPMS project was to test methods, approaches, and processes that can help transform Ethiopian smallholder agriculture from subsistence to a market‐oriented agriculture.

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.