Mobile phones fit well into the lives of pastoralists in low-income countries. The technology is firmly integrated into most pastoralist communities, affecting and transforming several core activities. Most studies concerned with this relationship, however, have narrow regional and thematic foci. The complementarity or discrepancy between relevant research is unknown, and a critical assessment of the current state of research is lacking.
The Digital Innovation Strategy (DIS) of the Regional Office for Africa (RAF) of FAO has been prepared to respond to critical challenges facing inclusive and sustainable agrifood system transformation in sub-Saharan Africa. It is enshrined in the new Strategic framework 2022–2030 that aims to accelerate the "transformation to more efficient, inclusive, resilient and sustainable agri-food systems for better production, better nutrition, a better environment and a better life, leaving no one behind".
This report presents and reflects on the opportunities that new technological developments related to automation and precision agriculture (e.g. robotics) can offer to agriculture in developing countries. These technologies are mainly targeted to support farmers that struggle with the cost of labour when harvesting crops and to tackle the declining availability of manpower for general cropping operations.
Le présent rapport étudie les possibilités que les nouvelles avancées technologiques liées à l’automatisation et à l’agriculture de précision (la robotique, par exemple) peuvent offrir à l’agriculture dans les pays en développement. Ces technologies visent principalement à aider les agriculteurs appelés à faire face au coût de la main-d’oeuvre nécessaire pour les opérations de récolte, ainsi qu’à répondre au problème de la raréfaction de la main-d’oeuvre disponible pour l’ensemble des travaux agricoles.
In Asia and the Pacific, the UN’s Food and Agriculture Organization (FAO) is working with member countries to leverage breakthroughs in information and communication technologies (ICT) to fight hunger, improve nutrition and counter the effects of climate change and extreme weather events that can devastate farmers and their crops. In the Philippines, a country prone to typhoons, aerial drones are taking to the sky to map out at-risk areas of agricultural land to mitigate risk. This innovative practice is also able to quickly assess damages when a disaster strikes.
The Fall Armyworm first landed in West Africa in 2016 and has now spread over the whole continent. It has been recently reported in Yemen and India, and is most likely to spread in South east Asia and South China. This pest invades fields and cause significant damage to crops, if not well managed. FAO’s efforts to support farmers in the affected areas include amongst others the FAO Programme for Action, a global coordination project that brings together development and resource partners to maximize coordinated results and minimize duplications.
Given its superior importance of digital agricultural solutions to overcome challenges in agricultural activities, many of the solutions are in face of challenges to scale in Sub-Saharan Africa (SSA).
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.
CONTEXT: Adoption and diffusion of digital farming technologies are expected to help transform current agricultural systems towards sustainability. To enable and steer transformation we need to understand the mechanisms of adoption and diffusion holistically. Our current understanding is mainly informed by empirical farm-level adoption studies and by agent-based models simulating systemic diffusion mechanisms. These two approaches are weakly integrated.