Agricultural production is a crucial and fundamental aspect of a stable society in China that depends heavily on the climate situation. With the desire to achieve future sustainable development, China’s government is taking actions to adapt to climate change and to ensure food self-sufficiency.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
The EU-funded Horizon 2020 “Small Farms, Small Food Businesses and Sustainable Food Security” (SALSA) project has brought together 16 partners, from European and African countries and the UN system, who have a unique blend of multidisciplinary expertise and experience from a wide range of geographical and socio-political realities.
SALSA has aimed to provide a better understanding of the current and potential contribution of small farms and food businesses to sustainable Food and Nutrition Security (FNS).
This final Deliverable of SALSA's WP4 'Participatory foresight analysis' aims to make a reflection precisely about the participatory character of the activities undertaken and the outcomes obtained in this WP. Namely, the objective of this deliverable is twofold: (i) to assess the engagement of stakeholders in these participatory scenario planning activities, and (ii) to discuss the legitimacy of the scenario planning method adopted in this research. In total, the regional foresight workshops held as part of this WP involved 243 participants, with women representing 42%.
In the context of the SALSA project, the overall aim of WP6 is to identify, develop and disseminate policy tools and other support mechanisms that are most appropriate for maintaining and enhancing the contribution of small farms to sustainable FNS in the European and African context (SALSA Objective 4).
The current deliverable (D6.1) is divided into two parts, each corresponding to one of its two main audiences, namely:
The current deliverable (D6.2) is divided into two parts each corresponding to one of its two main audiences, namely:
Part 1 – Scientific Methodology
SALSA Deliverable 6.3 is described in the project Description of Action (DoA) as a single Policy Brief but has been delivered as a set of five documents. These consist of:
The aim of the SALSA 'Living Document' is to document the main outcomes that have emerged throughout the four years of the SALSA research project and to associate them with key messages.
Originally, the idea was to "open" the Living Document for a limited amount of time after one of the identified key deliverables had been finalised. This in order to allow SALSA partners and the Expert Stakeholder Panel (ESP) to provide insights and perspectives and thereby learn from each other.
This brochure presents the five-year TAP-AIS project (2019-2024) funded by the European Union under the DeSIRA Initiative and implemented by the Food and Agriculture Organization (FAO) of the United Nations. The project has the main objective to strengthen capacities to innovate in national agricultural innovation systems (AIS) in the context of climate-relevant, productive, and sustainable transformation of agriculture and food systems in Africa, Latin America, Asia and the Pacific.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.