The International Center for Tropical Agriculture (CIAT) implements participatory monitoring and evaluation (PM&E) systems as a means of strengthening learning, self-reflection and facilitating institutional learning and change (ILAC) processes within Research and Development (R&D) institutions and local communities in Africa.

The global impacts of the climate crisis are becoming ever clearer, and natural resources and ecosystems are being depleted. Despite some progress, hunger and poverty persist, and inequalities are deepening. The world is realizing that unsustainable high external inputs and resource-intensive industrialized systems pose a real danger of biodiversity loss, increased greenhouse gas emissions, shortages of healthy food, and the impoverishment of dispossessed peasants around the world.

In the rapidly changing context of agri-food systems, extension and advisory services (EAS) are expected to provide new roles and services that go well beyond the traditional production-related technology transfer. Consequently, pluralistic EAS systems with diverse actors have emerged with diverse actors, including private and civil society organisations. These multiple EAS actors must adopt innovative entrepreneurship models if they are to act proactively and respond to the increasing diversity of farmers’ demands while staying independent and sustainable.

This note is a preview on the agricultural innovation systems (AIS) assessment methdology which is being tested in the nine countries of the European Union-funded TAP-AIS DeSIRA project. It presents the rationale, the steps, ethe expected outputs and outcomes.

Assessing or understanding the agriculture innovation system (AIS) is an essential step to better understand the needs, new skills and functions needed by the actors and the system. To accelerate the uptake of innovation and progress towards eradicating poverty, there is an urgent need for well-coordinated, demand-driven, and market-oriented information, knowledge, technologies and services.

Agricultural Internet of Things (IoT) has brought new changes to agricultural production. It not only increases agricultural output but can also effectively improve the quality of agricultural products, reduce labor costs, increase farmers' income, and truly realize agricultural modernization and intelligence. This paper systematically summarizes the research status of agricultural IoT. Firstly, the current situation of agricultural IoT is illustrated and its system architecture is summarized. Then, the five key technologies of agricultural IoT are discussed in detail.

Droughts are causing severe damages to tropical countries worldwide. Although water abundant, their resilience to water shortages during dry periods is often low. As there is little knowledge about tropical drought characteristics, reliable methodologies to evaluate drought risk in data scarce tropical regions are needed.

Global adoption of transgenic crops reached 67.7 million hectares in 2003 from 2.8 million in 1996. Delivery has occurred almost entirely through the private sector and adoption has been rapid in areas where the crops addressed serious production constraints and where farmers had access to the new technologies. Three countries (USA, Argentina and Canada), three crops (soybean, cotton and maize) and two traits (insect resistance and herbicide tolerance) account for the vast majority of global transgenic area.