Cambodia’s development is strongly influenced by growth in the agriculture sector. In this context, the modernization of agriculture has been highly regarded by the government as a long-term strategy to transform traditional labour-based agriculture into technology-based and with that to effectively enhance the country’s further regional integration within the Association of Southeast Asian Nations. In support of this strategic vision, a participatory assessment of the Agricultural Innovation Systems (AIS) was conducted in coordination with the General Department of Agriculture (GDA) and su

The creation of commercialization opportunities for smallholder farmers has taken primacy on the development agenda of many developing countries. Invariably, most of the smallholders are less productive than commercial farmers and continue to lag in commercialization. Apart from the various multifaceted challenges which smallholder farmers face, limited access to extension services stands as the underlying constraint to their sustainability.

The concept of an innovation system is used to understand how innovation contributes to economic growth. However, innovation systems do not evolve evenly in different parts of the world. This paper contributes to the ongoing debate on the emergence of innovation systems in the context of developing countries. It uses the Rwandan case, where agriculture is a dominant socio-economic sector with high innovation potential. It explores how stakeholder interactions and policies contribute to the emergence of an agriculture innovation system in Rwanda.

Food systems are at a crossroads. Profound transformation is needed to address Agenda 2030 and to achieve food security and nutrition (FSN) in its four dimensions of availability, access, utilization and stability, and to face multidimensional and complex challenges, including a growing world population, urbanization and climate change, which drive increased pressure on natural resources, impacting land, water and biodiversity. This need has been illustrated from various perspectives in previous HLPE reports and is now widely recognized.

This study provides a model that supports systematic stakeholder inclusion in agricultural technology. Building on the Responsible Research and Innovation (RRI) literature and attempting to add precision to the conversation around inclusion in technology design and governance, this study develops a framework for determining which stakeholder groups to engage in RRI processes. We developed the model using a specific industry case study: identifying the relevant stakeholders in the Canadian digital agriculture ecosystem.

The paper aims at finding out how significantly stakeholders are consulted and involved by preparers, Ukrainian publicly-listed agricultural companies, while compiling sustainability reporting (SR) and by assurance providers, during assurance processes of SR. The paper’s main research question may be formulated as follows ‘How deeply stakeholders are involved at Ukrainian agricultural companies in the preparation of their sustainability reporting and assurance?’

FAO Eritrea, in partnership with the Ministry of Agriculture is implementing the national component of a global project entitled “Developing capacity in Agriculture Innovation System project: Scaling up the Tropical Agriculture Platform Framework”.

Globalization, urbanization and new market demands - together with ever-increasing quality and safety requirements - are putting significantly greater pressures on agrifood stakeholders in the world. The ability to respond to new challenges and opportunities is important not just for producers but also for industries in developing countries. This paper aims to present what "innovation response capacity" entails, especially for natural resourcebased industries in a developing country context.

Science and technology (S&T) are major contributors to food security, poverty reduction, and economic growth, as has been proven in Asia since the early-1970s through the Green Revolution in agriculture. Continuing to secure such gains, however, is becoming an increasingly complex undertaking. More than ever, quantitative data are vital for measuring, monitoring, and benchmarking the performance of agricultural S&T systems, including their inputs and outcomes.