Although urban agriculture as a way to come to sustainable urban food systems can be questioned and we have to be aware not falling into a ‘local trap’ regarding its benefits (Born & Purcell, 2006), initiatives for urban agriculture emerge all over the world. Some of these primarily focus on achieving social and educational goals while others try to become an (high tech) alternative to existing food supply chains. Whichever the goals of urban agriculture, in practice many of these initiatives have difficulties in their (logistics) operations. Research on urban agriculture and local‐for‐local food supply chains mainly focuses on environmental and economic benefits, alternative production techniques, short food supply chains (logistics infrastructure) or socio‐economic benefits of urban agriculture. So far, the alignment of urban agriculture goals with the chosen logistics concept – which includes more aspects than only infrastructure – has not gained much attention. This paper tries to fill this gap through an exploration of urban agriculture projects – both low and high tech – from around the world by using the integrated logistics concept (Van Goor et al., 2003). The main question to be answered in this paper is: to what extend can the integrated logistics concept contribute to understanding logistics drivers and barriers of urban agriculture projects? To answer this question, different urban agriculture projects were studied through information on their websites and an internet based questionnaire with key players in these projects. Our exploration shows that the ILC is a useful tool for determining logistics drivers and barriers and that there is much potential in using this concept when planning for successful urban agriculture projects.
MULTIFILE
Societal actors across scales and geographies increasingly demand visual applications of systems thinking – the process of understanding and changing the reality of a system by considering its whole set of interdependencies – to address complex problems affecting food and agriculture. Yet, despite the wide offer of systems mapping tools, there is still little guidance for managers, policy-makers, civil society and changemakers in food and agriculture on how to choose, combine and use these tools on the basis of a sufficiently deep understanding of socio-ecological systems. Unfortunately, actors seeking to address complex problems with inadequate understandings of systems often have limited influence on the socio-ecological systems they inhabit, and sometimes even generate unintended negative consequences. Hence, we first review, discuss and exemplify seven key features of systems that should be – but rarely have been – incorporated in strategic decisions in the agri-food sector: interdependency, level-multiplicity, dynamism, path dependency, self-organization, non-linearity and complex causality. Second, on the basis of these features, we propose a collective process to systems mapping that grounds on the notion that the configuration of problems (i.e., how multiple issues entangle with each other) and the configuration of actors (i.e., how multiple actors relate to each other and share resources) represent two sides of the same coin. Third, we provide implications for societal actors - including decision-makers, trainers and facilitators - using systems mapping to trigger or accelerate systems change in five purposive ways: targeting multiple goals; generating ripple effects; mitigating unintended consequences; tackling systemic constraints, and collaborating with unconventional partners.
MULTIFILE
Aeres University of Applied Sciences has placed internationalisation as a key driver in its overall strategy. By prioritising the internationalisation of education and educational consultancy the university has created solid opportunities for students, lecturers, and partners at regional, national, and international levels. Currently, more strategic development on internationalisation in applied research at Aeres is needed. There is an opportunity to utilise highly proficient researchers, state-of-the-art facilities, and an impressive national research portfolio, and for this, there is a need to develop international research agenda, a key priority for AeresResearch4EU. To address this need, Aeres University of Applied Sciences aims to strengthen its internationalisation efforts with its research activities, opening the door to many opportunities, and most importantly, creating an international research agenda spanning the university's three locations. The main objectives of AeresResearch4EU are to analyse the existing research strategy and professorships and develop them towards a global research agenda for the European Union. By focusing on international research projects, Aeres can further enhance its reputation as a leading institution for applied research in agriculture, food, environment, and green technologies. AeresResearch4EU aims to create new partnerships and collaborations with researchers and institutions across Europe, allowing Aeres to contribute to developing innovative and sustainable solutions to global challenges. With its strong commitment to internationalisation and its focus on applied research, Aeres University of Applied Sciences is poised to become an essential player in the European research landscape.
Agriculture; Macro-Micro-Macro perspective; Public goods and Public bads; Collective action; Commons; Opposite concerns; Farmers and Peasants; Anthropology
The utilization of drones in various industries, such as agriculture, infrastructure inspection, and surveillance, has significantly increased in recent years. However, navigating low-altitude environments poses a challenge due to potential collisions with “unseen” obstacles like power lines and poles, leading to safety concerns and equipment damage. Traditional obstacle avoidance systems often struggle with detecting thin and transparent obstacles, making them ill-suited for scenarios involving power lines, which are essential yet difficult to perceive visually. Together with partners that are active in logistics and safety and security domains, this project proposal aims at conducting feasibility study on advanced obstacle detection and avoidance system for low-flying drones. To that end, the main research question is, “How can AI-enabled, robust and module invisible obstacle avoidance technology can be developed for low-flying drones? During this feasibility study, cutting-edge sensor technologies, such as LiDAR, radar, camera and advanced machine learning algorithms will be investigated to what extent they can be used be to accurately detect “Not easily seen” obstacles in real-time. The successful conclusion of this project will lead to a bigger project that aims to contribute to the advancement of drone safety and operational capabilities in low-altitude environments, opening new possibilities for applications in industries where low-flying drones and obstacle avoidance are critical.
