Extension and advisory services (EAS) play a key role in facilitating innovation processes, empowering marginalized groups through capacity development, and linking farmers with markets. EAS are increasingly provided by a range of actors and funded from diverse sources. With the broadened scope of EAS and the growing complexity of the system, the quantitative performance indicators used in the past (for example related to investment, staffing or productivity) are no longer adequate to assess the performance of EAS systems.
Recent sessions of FAO Governing Bodies have put a strong focus on science, technology and innovation and Members are increasingly requesting FAO’s support to harness science and innovation. The FAO Science and Innovation Strategy (the Strategy) was adopted by the FAO Council at its 170th Session following an inclusive and transparent consultative process, with the participation of all Members through formal sessions of Governing Bodies (including the Regional Conferences in 2022), as well as two informal consultations and informal meetings with Regional Groups.
Policy briefs are an effective tool to communicate policy messages using evidence. Thus, the Department of Agriculture Extension and Cooperatives (DAEC) and the Department of Planning and Cooperation (DOPC) of the Ministry of Agriculture and Forestry (MAF) in Lao PDR organized a multi-stakeholder policy dialogue process with support from FAO’s TAP-AIS project to spur discussion and gather evidence for this policy brief. Stakeholders involved in the policy dialogue process included representatives from the private sector, farmers organizations, academia, NGOs and the government.
If the world is to transition towards agrifood systems that are more sustainable and equitable, small-scale production systems will be key to progress. Large parts of the world depend on small-scale systems for maintaining food security and nutrition (Lowder, Sánchez and Bertini, 2021; Herrero et al., 2017). Despite this centrality, neither small-scale production systems nor small-scale producers have received due recognition under predominant agrifood systems paradigms.
This report aims at inspiring strategic thinking and actions to transform agrifood systems towards a sustainable, resilient and inclusive future, by building on both previous reports in the same series as well as on a comprehensive corporate strategic foresight exercise that also nurtured FAO Strategic Framework 2022–31. It analyses major drivers of agrifood systems and explores how their trends could determine alternative futures of agrifood, socioeconomic and environmental systems.
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.
Digitization in agriculture is rapidly advancing further on. New technologies and solutions were developed and get invented which ease farmers’ daily life, help them and their partners to gain knowledge about farming processes and environmental interrelations. This knowledge leads to better decisions and contributes to increased farm productivity, resource efficiency, and environmental health. Along with numerous advantages, some negative aspects and dependencies risk seamless workflow of agricultural production.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.
Cotton, a major crop worldwide, is harvested in mechanized production systems once at the end of the growing season. To facilitate harvest and maximize fiber quality, the plants are typically defoliated when about 60% of the cotton bolls are open. Due to non-uniform maturation, the bolls that have opened early expose their fiber to weather until harvest, commonly for weeks, degrading fiber quality. Furthermore, high capacity harvesting machines are heavy, potentially compacting the soil that in turn reduces hydraulic conductivity in the wheel tracks and reducing yield.
Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.