There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.

This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.

The CGIAR Research Program on Integrated System for the Humid Tropics, or Humidtropics, works towards transforming the lives of the rural poor in several action sites in Asia, Africa and Tropical America. In doing so, different technologies and innovations were implemented and while at first the capacity development was going on almost intuitively, as an integrated part of the implementation process, it has soon become clear that such groundbreaking activities and ideas require a more organized and supervised approach.

This review aims to identify key issues and opportunities needed to bring current Agricultural Education and Training (AET) systems up to the needed capacity. This paper first looks at the opportunities identified in the preliminary research. Next the paper looks at some of the many pitfalls learned from previous AET work that should be avoided moving forward. Lastly the paper gives a brief explanation for some of the key areas that the preliminary research identified as requiring further research and study in a modern day context. 

Automation of essential processes in agriculture is becoming widespread, especially when fast action is required. However, some processes that could greatly benefit from some degree of automation have such difficult characteristics, that even small improvements pose a great challenge. This is the case of fish disease diagnosis, a problem of great economic, social and ecological interest. Difficult problems like this often require a interdisciplinary approach to be tackled properly, as multifaceted issues can greatly benefit from the inclusion of different perspectives.

Following their first formation in Indonesia over 25 years ago, Farmer Field Schools (FFS) have served as a “proof of concept” of how transformative learning can help governments, donors and development stakeholders achieve development objectives. The FFS approach, which has now been used in more than 90 countries by more than 12 million small farmers (FAO, 2016), not only creates a space in which the practical needs of smallholders to solve production-related issues can be addressed but also fosters personal and community-level transformation through empowerment.

This brochure presents the Programme on Bridging the Rural Digital Divide, that begun in 2003 under the implementation of the Food and Agriculture Organization of the United Nations (FAO). The programme highlighted innovative approaches to knowledge exchange that were taking advantage of new (at that time) digital technologies, and that were based on synergies between information management and communication for development. At the time this was referred to as "information and communication for development"(ICD).

This report provides an overview of the Tropical Agriculture Platform (TAP) since its inception in 2012, when it was officially launched by FAO at the first G20 Meeting of Agriculture Chief Scientists (MACS) in September 2012 in Mexico, until December 2017. The G20 Agriculture Deputies agreed on this stock taking exercise that started under the 2018 Argentinian G20 Presidency.

Purposes of the exercise are the following: