This information package is prepared by the Policy Department for Structural and Cohesion Policies for the hearing of 18 February 2020 organised by the European Parliament’s Agricultural and Rural Development Committee (AGRI Committee). The main purpose of the paper is to facilitate the legislative work of MEPs related to the agri-food research & innovation issues.
This flyer described the collaboration between FAO and Agrinatura and in particular two main areas of activities:
1) Joint implementation of the EU-funded Capacity Development for Agricultural Innovation Systems (CDAIS) project from 2015 to 2019, in eight countries: Angola, Bangladesh, Burkina Faso, Ethiopia, Guatemala, Honduras, Lao People’s Democratic Republic, Rwanda;
This book discusses the role of inclusive innovation for development in rural India. It uses the evidence of innovation in the context of skewed or limited livelihood options and multiple knowledge systems to argue that if inclusive innovation is to happen, the actors and the nature of the innovation system need reform.
In Sub-Saharan Africa, the rapidly evolving COVID-19, increasing population growth, and exponential expansion in demand for agricultural commodities are putting pressure on available resources, thereby posing immense challenges to the region’s capacity to achieve nutritional security related to United Nations Sustainable Development Goals (SDGs).
The core idea of the article below is the existence of complicated array of deterrent factors that influences innovation activity of agriculture organizations, and subjective, psychological factors among those factors as well. The main goal of this work is to assess the top management and proprietors’ of AIC enterprises readiness to implement the innovations. As a research’ working hypothesis used the decisive role of human factor in answering the question whether to innovate or not.
This study focuses on Smart Farming Innovations (SFI) of the Philippines. It is motivated by the 5th-agenda of the current Philippine President to increase agricultural and rural enterprise productivity. The study presents a strategy to lead research, development, and market of organic foods as medicine and build social entrepreneurs in using SFI.
The purpose of this article is to assess the inclusivity of on-farm demonstration across Europe, in relation to age, gender, and geographical location of participants. The paper is based on a survey of 1162 on-farm demonstrators (farmers and organisations) and three supraregional workshops. Overall, on farm-demonstrations were found to be engaging young(er) farmers who are at a career stage of being able to implement long-term innovations. However, across Europe demonstrations were primarily attended by men.
Food insecurity and the weak position of smallholders in food value chains are key challenges in many low- and middle-income countries in sub-Saharan Africa. In order to increase food security and make agricultural value chains more inclusive, donors, governments and researchers increasingly stimulate partnerships between multiple actors, in which knowledge exchange, joint learning and knowledge co-creation play a central role in reducing the time lag between research findings and their translation into practical outcomes.
The latest comprehensive research agenda in the Journal of Agricultural Education and Extension was published in 2012 (Faure, Desjeux, and Gasselin 2012), and since then there have been quite some developments in terms of biophysical, ecological, climatological, social, political and economic trends that impact farming and the transformation of agriculture and food systems at large as well as new potentially disruptive technologies.
The primary aim of this research was to examine the factors influencing behavioral intention of farmers to use ICTs for agricultural risk management. The past research reveals that many researchers had tried to determine factors affecting behavioural intentions of the respondents and TPB has been applied as technology acceptance model in various contexts. However, predicting behavioral intentions to use ICTs for agricultural risk management has not been evaluated from the actual field. Therefore, the data were collected from 360 farmers through multistage cluster sampling technique.