Asian agriculture is faced with major new challenges as a result of globalisation, urbanisation and environmental problems such as climate change. To meet these challenges, Asian agriculture needs to become more knowledge intensive and innovation oriented. This article frames the new Asian challenge in terms of innovation theory, emphasising the importance of the co-evolution of technological and institutional change and linkages between actors in open, interactive innovation processes.

Rice is a primary food for more than three billion people worldwide and cultivated on about 12% of the world’s arable land. However, more than 88% production is observed in Asian countries, including Pakistan. Due to higher population growth and recent climate change scenarios, it is crucial to get timely and accurate rice yield estimates and production forecast of the growing season for governments, planners, and decision makers in formulating policies regarding import/export in the event of shortfall and/or surplus.

The Agricultural Innovation Program (AIP), funded by the United States Agency for International Development (USAID) in Pakistan, aims to increase agricultural productivity and the income of farmers in four sectors (cereals, livestock, vegetables, and horticulture) by increasing the use of modern technology and management practices, improving the performance of value chains, and increasing the capacity of the public and private sectors to support the agricultural production system.

This study aims to investigate blockchain technology for agricultural supply chains during the COVID-19 pandemic. Benefits and solutions are identified for the smooth conduction of agricultural supply chains during COVID-19 using blockchain. This study uses interviews with agricultural companies operating in Pakistan. The findings discover the seven most commonly shared benefits of applying blockchain technology, four major challenges, and promising solutions.

In order to realize the potential of agricultural innovation in family farming, national priorities of sustainably increasing food production and productivity, and reducing hunger and poverty, require rural knowledge institutions to be stronger and communication processes to be improved. This brief synthesizes the focus of FAO’s research and extension branch on transforming agricultural innovation systems of member countries.

This collection of posters from the TAP-AIS project illustrates key achievements of the project towards strengthening national agricultural innovation systems (AIS) in Africa (Burkina Faso, Eritrea, Malawi, Rwanda, Senegal), Latin America (Colombia), Asia and the Pacific (Cambodia, Lao PDR, Pakistan). For each of these nine countries, and for their respective regions, the posters provide: i) thematic focus and context; ii) constraints in the AIS; iii) capacity development interventions; iv) outcomes; v) the way forward.

This methodological guide was initially developed and used in Latin America and the Caribbean-LAC (Honduras, Nicaragua, Colombia, Peru, Venezuela, Dominican Republic), and was later improved during adaptation and use in eastern African (Uganda, Tanzania, Kenya, Ethiopia) through a South-South exchange of expertise and experiences. The aim of the methodological guide is to constitute an initial step in the empowerment of local communities to develop a local soil quality monitoring and decision-making system for better management of soil resources.

This report is concerned with the ‘who?’ ‘what?’ and ‘how?’ of pro-poor extension. It builds on the analytical framework proposed in the Inception Report of the same study (Christoplos, Farrington and Kidd, 2001), taking it forward by fleshing out the analysis with empirical information gathered from several countries during the course of the study (from primary data in Bolivia, Colombia, Nicaragua, Uganda and Vietnam, and from secondary sources in a range of other countries, including India), and drawing conclusions on the scope for action by governments and donors in a range of contexts.

This paper discusses a methodology to model precipitation indices and premium prices for index-based drought insurance for smallholders. Spatial basis risk, which is borne by the insured, is a problem, especially in variable topography. Also, site-specific drought risk needs to be estimated accurately in order to offer effective insurance cover and ensure financial sustainability of the insurance scheme. We explore farmers' perceptions on drought and spatial climate variability and draw conclusions concerning basis risk with regards to the proposed methodology.

This paper has been prepared under the guidelines provided by the TAP Secretariat at the FAO, as a contribution to the G20 initiative TAP, which includes near 40 partners and is facilitated by FAO. Its purpose is to provide a Regional synthesis report on capacity needs assessment for agricultural innovation, with capacity gaps identified and analyzed, including recommendations to strengthen agricultural innovation systems (AIS) and draft policy recommendations to address the capacity gaps.