Innovation is considered as one of the key drivers for a competitive and sustainable agriculture and the European Commission highlights the importance of tailoring innovation support to farmers’ needs, especially in European Rural Development Policy (reg EU 1305/2013). The scientific literature offers a wide panorama of tools and methods for the analysis of innovation in agriculture but the lack of data on the state of innovation in the farms hampers such studies. A possibility to partially overcome this limit is the use of data collected by the Farm Accountancy Data Network (FADN).
The quality of rural extension and advisory services is a crucial element in fostering innovation and rural development. This article aims to clarify the concept of quality of rural extension and to develop a preliminary theoretical framework. An ample literature review was conducted in search of articles on service quality and quality of rural extension and advisory services. The first part presents the main results of the literature search on quality of extension services. The definition of quality is not universal.
The well-being of the rural population globally has been associated with the performance and resilience of the agriculture sector. The sector continually requires new needs-based knowledge and technologies. It has become necessary to empower the rural communities through a wider bottom-up system that directly addresses their needs. This paper explores the application of little-used Participatory Livelihood Analysis for the adoption and up-scaling of its use in the assessment of agricultural-extension-needs for disadvantaged rural communities.
To achieve the Sustainable Development Goals, research concepts and empirical evi-dence are needed to upgrade smallholder activities within local value chains (LVCs) of many developing countries. Yet, comprehensive gender-sensitive investigations ofthe evolution and multiplicity of governance in whole food systems with parallel functioning of local and modern value chains (MVCs) are greatly underrepresented inthe scientific literature.
It is often assumed that voluntary sustainability standards – such as Fairtrade – could not only improve the socioeconomic wellbeing of smallholder farmers in developing countries but could also help to reduce negative health and environmental impacts of agricultural production. The empirical evidence is thin, as most previous studies on the impact of sustainability standards only focused on economic indicators, such as prices, yields, and incomes.
In the existing literature, the effects of contract farming on household welfare were examined with mixed results. Most studies looked at single contract types. This paper contributes to the literature by comparing two types of contracts – simple marketing contracts and resource- providing contracts – in the Ghanaian oil palm sector. We investigate the effects of both contracts on farm income, as well as spillovers on other household income sources. We use survey data collected with an innovative sampling design and a control function approach to address possible issues of endogeneity.
Le présent rapport devrait, grâce à tous les éléments analysés, aider les décideurs et l’ensemble des acteurs du secteur agricole dans leur prise de décision quant à l’utilisation et à la gestion des nouvelles technologies numériques en agriculture avec comme objectif afin de s’assurer que cette industrie demeure très compétitive.
La FAO, IBM et Microsoft cherchent des moyens concrets et durables d’utiliser l’intelligence artificielle dans le respect des principes d’éthique approuvés par le pape François 24 septembre 2020, Rome - Lors d'une manifestation organisée aujourd'hui à l'Académie pontificale pour la vie, l'Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO), IBM et Microsoft ont réitéré leur engagement en faveur de la mise au point de formes d'intelligence artificielle (IA) qui soient inclusives et promeuvent des moyens durables de concrétiser la sécurité alimentaire et nutritionnelle.
In this 90-minute webinar, Illuminating Hidden Harvests experts and authors share the rationale and methods behind the initiative and some of the progress and results so far. It includes a moderated roundtable discussion on how to leverage the methods, information and results from the IHH study towards improved policy decision making and in-country capacity for inter-disciplinary data collection and analysis.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.