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.

CABI’s Plantwise programme runs local plant clinics in 24 countries across Africa, Asia and Latin America where trained ‘plant doctors’ provide on-the-spot diagnosis and advice for farmers who bring samples to the clinics. A database that records each consultation and shares knowledge across clinics and countries continually builds the ability of the programme to respond to farmers’ needs. The programme embodies key principles of an innovation systems approach.

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.

The devastation caused in Philippines by Typhoon Reming was the trigger for the Government request to FAO for the project “Strengthening Capacities for Climate Risk Management and Disaster Preparedness in Selected Provinces of the Philippines (Bicol Region)”. This technical project summary report provides a consolidated overview about the specific project activities, the implementation processes, main findings and the establishment of institutional mechanisms that were established to promote ongoing collaboration between farmers, agriculture extension workers, researchers and local governme

The Philippines is one of the most disaster-prone countries worldwide. Bicol Region is regularly exposed to a variety of natural hazards including tropical storms, typhoons, droughts, drought spells, flash floods, floods, landslides and volcano eruptions, causing frequent destruction, damage and losses. Agriculture is among the most vulnerable sectors to extreme weather events and changing climate. People depending on agriculture are regularly facing the challenge to protect and maintain their livelihoods.

This paper, part of the Social Sciences Working Paper Series, presents studies undertaken by nine community-based, natural resource management (CBNRM)-oriented organizations in China, Viet Nam, the Philippines and Mongolia. The partner organizations, representing three broad types: academic, regional network, and community based, were brought together by a 2006 initiative in an informal network to develop and pilot methods for evaluating capacity development in community-based natural resource management.

This paper examines different practical methods for stakeholders to analyse power dynamics in multi-stakeholders processes (MSPs), taking into account the ambiguous and uncertain nature of complex adaptive systems. It reflects on an action learning programme which focused on 12 cases in Africa and Asia put forward by 6 Dutch development non-governmental organizations (NGOs).