Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Recent Society 5.0 efforts by the Government of Japan are aimed at establishing a sustainable human-centered society by combining new technologies such as sensor networks, edge computing, Internet of Things (IoT) ecosystems, artificial intelligence (AI), big data, and robotics. Many research works have been carried out with an increasing emphasis on the fundamentals of wireless sensor networks (WSN) for different applications; namely precision agriculture, environment, medical care, security, and surveillance.
La crise économique et sanitaire due à la Covid-19 interpelle les trajectoires de reconfiguration des systèmes alimentaires en République du Congo. Elle questionne la capacité des mesures de régulation prises par les pouvoirs publics et des stratégies d’adaptation des acteurs à induire des inflexions dans la gouvernance structurelle du système alimentaire du pays. L’article analyse les stratégies d’adaptation à la crise en mobilisant des données secondaires et des expériences d’accompagnement de politiques publiques agricoles et alimentaires conduites par les auteurs.
Where CGIAR breeding programs rely on the private sector for the multiplication and distribution of improved cultivars, persistent challenges have dampened their impact on varietal adoption and turnover rates. Part of the problem is that research and practice in CGIAR and among its national breeding program partners tend to treat the private sector as a vehicle for seed delivery, rather than as commercial businesses facing a range of unique constraints and threats.
While smallholder farmers are the primary food producers in Southern Africa, contributing to 90 percent of food production in some countries, often systems in the region do not support profitability for them. WFP is working across Southern Africa to address bottlenecks in food systems to enhance the resilience of smallholder farmers. This factsheet gives an overview of WFP’s approach to smallholder farmers.
A fragmented digital agriculture ecosystem has been linked to the slow scale-out of digital platforms and other digital technology solutions for agriculture. This has undermined the prospects of digitalizing agriculture and increasing sectoral outcomes in sub-Saharan African countries. We conceptualized an aggregator platform for digital services in agriculture as a special form of digital platforms that can enhance the value and usage of digital technologies at the industry level. Little is known about how such a platform can create value as a new service ecology in agriculture.
Comment concilier un développement agricole durable avec la lutte contre le changement climatique et la préservation de la biodiversité ? Pour relever un tel défi, les décideurs politiques, techniques et socio-économiques ont désormais accès à des informations environnementales précises et précieuses. Il s’agit notamment des images satellitaires et des données environnementales produites à partir de ces images.
This video illustrates the goals and work of the Tropical Agriculture Platform (TAP), a G20 initiative supported by the European Union to improve efficiency and effectiveness of capacity development programmes and of knowledge sharing in order to strengthen agricultural innovation systems in the tropics and sub-tropics. The Secretariat of TAP is hosted by the Research and Extension Unit, Office of Innovation, of the Food and Agriculture Organization (FAO) of the United Nations.
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.