The study was conducted in Thakurgaon sadar Upazila to determine farmers’ perception of the extent and factors of ICTs effectiveness in transferring farming information. A total of 250 people who were already been taken services from different ICT center was selected as sample respondents following a random sampling technique. Primary data were collected using a predesigned interview schedule.
Participation of actors is essential for achievement of the United Nation’s (UN) Sustainable Development Goals (SDGs). With respect to sustainable agriculture the UN has introduced a collaborative framework for food systems transformation encompassing: 1) food system champions identification; 2) food systems assessment; 3) multi-stakeholder dialogue and action facilitation; and, 4) strengthen institutional capacity for food systems governance. The last two actions are the focus of this thesis.
Networks and partnerships are commonly-used tools to foster knowledge sharing between actors and organisations in the Agricultural Knowledge and Innovation System (AKIS), but in Europe the policy emphasis on including users, such as farmers and foresters, is relatively recent. This paper assesses user involvement in a diverse set of European Union (EU)-funded and non-EU (formal and informal) multi-actor partnerships. This research used a common methodology to review several forms of multi-actor partnerships involving users and other actors.
A central concern about achieving global food security is reconfiguring agri-food systems towards sustainability. However, historically-informed trajectories of agri-food system development remain resistant to a change in direction. Through a systematic literature review, the authors identify three research domains exploring this phenomenon and six explanations of resistance: embedded nature of technologies, misaligned institutional settings, individual attitudes, political economy factors, infrastructural rigidities, research and innovation priorities.
The Progress towards Sustainable Agriculture initiative (PROSA) is a framework that seeks to complement ongoing efforts on the Sustainable Development Goals (SDGs), and particularly indicator 2.4.1, to support country-level assessments using data already available at the national level. Making agriculture more sustainable – productive, environmentally friendly, resilient and profitable is fundamental, as agriculture remains the main source of livelihood for the majority of the world’s poor and hungry.
FAO Eritrea, in partnership with the Ministry of Agriculture is implementing the national component of a global project entitled “Developing capacity in Agriculture Innovation System project: Scaling up the Tropical Agriculture Platform Framework”.
Le projet "Renforcer les capacités des systèmes d'innovation agricole: application et adaptation de l’approche de la plateforme d'agriculture tropicale (TAP-AIS)" vise à stimuler l'innovation pour la transformation des systèmes agricoles et alimentaires des pays partenaires en vue de mieux résister aux effets du changement climatique. Il intéresse ainsi le public technique ou pas, les jeunes et les media.
Dans de nombreux pays, les décideurs ont besoin d'informations pertinentes sur les systèmes d'innovation agricole (SIA) pour guider la formulation des stratégies et des instruments politiques de soutien à l'innovation.
Ce catalogue décrit une série de solutions agricoles pour les zones arides du Sahel et de la Corne de l'Afrique, utiles pour l'adaptation au changement climatique et l'atténuation de ses effets. Il est basé sur les interventions du programme Technologies pour la transformation de l'Agriculture en Afrique (TAAT). Ce programme, dirigé par l'Institut International d'Agriculture Tropicale (IITA), est à l'origine de nouvelles approches pour le déploiement de technologies éprouvées auprès des agriculteurs africains.
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.