Supply chains have inherent risk given the number of actors that interface. While there are some chains that have low frequencies of unfavorable events, many continuously face uncertainty. Food production has many uncertainties along the global supply chain. The global nature of the large logistical networks increases its complexity. Two main sources of uncertainty arise: External and internal to the SC. External factors mainly come from nature (such as "El Niño" phenomenon) and from human activities (such as food and nutrition policy and standards). Internal factors mainly come from operations such as a cold chain disruption. Thus, one needs to minimize risk and improve resilience in order to achieve food security and sustainability. It is then imperative that risk management practices be integrated into the supply chain design and management process. This chapter presents an overview of the main risks involved in global food supply chains, as well as some techniques for risk management.
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This paper provides a management perspective of organisational factors that contributes to the reduction of food waste through the application of design science principles to explore causal relationships between food distribution (organisational) and consumption (societal) factors. Qualitative data were collected with an organisational perspective from commercial food consumers along with large-scale food importers, distributors, and retailers. Cause-effect models are built and “what-if” simulations are conducted through the development and application of a Fuzzy Cognitive Map (FCM) approaches to elucidate dynamic interrelationships. The simulation models developed provide a practical insight into existing and emergent food losses scenarios, suggesting the need for big data sets to allow for generalizable findings to be extrapolated from a more detailed quantitative exercise. This research offers itself as evidence to support policy makers in the development of policies that facilitate interventions to reduce food losses. It also contributes to the literature through sustaining, impacting and potentially improving levels of food security, underpinned by empirically constructed policy models that identify potential behavioural changes. It is the extension of these simulation models set against a backdrop of a proposed big data framework for food security, where this study sets avenues for future research for others to design and construct big data research in food supply chains. This research has therefore sought to provide policymakers with a means to evaluate new and existing policies, whilst also offering a practical basis through which food chains can be made more resilient through the consideration of management practices and policy decisions.
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Global food systems need to become more sustainable, resilient and inclusive. To accelerate this transition, there is a need for scaling innovative strategies for improved Food and Nutrition Security (FNS), particularly for the poor and marginalised. Scaling, however, is not a straightforward or value-free process. The synthesis study examined which dilemmas influence Research for Impact projects that seek to contribute to FNS outcomes at scale, and how blind spots in scaling research and practice are tied to these dilemmas. Being aware of and tackling these blind spots at an early stage contributes to ‘responsible scaling’: not only focusing on technical and socio-economic, but also on ethical considerations about who will benefit or lose out. The findings presented in the full paper are based on insights from ten interdisciplinary research projects funded by NWO-WOTRO that were carried out in countries in East, Southern and the Horn of Africa between 2014–2020.
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Despite their various appealing features, drones also have some undesirable side-effects. One of them is the psychoacoustic effect that originates from their buzzing noise that causes significant noise pollutions. This has an effect on nature (animals run away) and on humans (noise nuisance and thus stress and health problems). In addition, these buzzing noises contribute to alerting criminals when low-flying drones are deployed for safety and security applications. Therefore, there is an urgent demand from SMEs for practical knowledge and technologies that make existing drones silent, which is the main focus of this project. This project contributes directly to the KET Digital Innovations\Robotics and multiple themes of the top sectors: Agriculture, Water and Food, Health & Care and Safety. The main objective of this project is: Investigate the desirability and possibilities of extremely silent drone technologies for agriculture, public space and safety This is an innovative project and there exist no such drone technology that attempts to reduce the noises coming from drones. The knowledge within this project will be converted into the first proof-of-concepts that makes the technology the first Minimum Viable Product suitable for market evaluations. The partners of this project include WhisperUAV, which has designed the first concept of a silent drone. As a fiber-reinforced 3D composite component printer, Fiberneering plays a crucial role in the (further) development of silent drone technologies into testable prototypes. Sorama is involved as an expert company in the context of mapping the sound fields in and around drones. The University of Twente is involved as a consultant and co-developer, and Research group of mechatronics at Saxion is involved as concept developer, system and user requirement verifier and validator. As an unmanned systems innovation cluster, Space53 will be involved as innovation and networking consultant.
Traditioneel worden robots voornamelijk ingezet in gestructureerde, afgeschermde en voorspelbare omgevingen zoals fabrieken en magazijnen. Door technologische ontwikkelingen kunnen robots ook steeds beter in ongestructureerde en complexere omgevingen opereren, soms zelfs tussen mensen en dieren. Inspectierobots, verkenningsrobots, voederrobots of fruitplukrobots doen steeds vaker repeterend, vermoeiend of gevaarlijk werk. Ze kunnen bijvoorbeeld dag en nacht inspecties uitvoeren of onvermoeibaar op de akker werken. Ook kunnen ze worden ingezet voor zoek- en reddingsoperaties in gevaarlijke gebieden, bijvoorbeeld in conflictsituaties of na een ramp. Ondanks dat er afgelopen jaren grote stappen zijn gezet op het gebied van sensoren en kunstmatige intelligentie, blijft het een uitdaging om een robot volledig autonoom, dus zonder menselijke operator, te laten werken in een complexe omgeving. Eén uitdaging zit in het slim combineren van de verschillende sensoren om een goed beeld van de omgeving en van zijn eigen positie in die omgeving te creëren. Als dit niet goed lukt, dan moet de robot alsnog worden geholpen door een menselijke operator. Een robot gebruikt sensoren om te bepalen waar hij is. Huidige sensoren hebben echter tekortkomingen en maken meetfouten. Sensorfusie is het combineren van data uit verschillende sensoren om daarmee een betere schatting te doen. Het consortium heeft ervaring met het ontwikkelen van autonome robots en heeft daarbij geconstateerd dat het ontwikkelen van sensorfusie niet alleen essentieel is, maar dat het tevens uitdagend is om gestelde doelen te halen. De wens is daarom om te onderzoeken hoe we sensorfusie naar een hoger niveau kunnen brengen. In dit project analyseren en optimaliseren we de meest gebruikte methode voor het fuseren van encoders, IMUs, kompas en GNSS en vergelijken de huidige aanpak met recent ontwikkelde methodes. Met deze kennis kunnen Nederlandse technologiebedrijven voorop blijven lopen bij de ontwikkeling van autonome robots voor agrifood, inspectie, defensie en security-toepassingen.
Since the 1970s, Caribbean reefs have transitioned from coral-dominated to algal-dominated ecosystems. The prevalence of algae reduces coral recruitment, rendering the reefs unable to recover from additional disturbances and jeopardizing crucial ecosystem services, including coastal protection, fisheries, and tourism. One of the main factors to the proliferation of algae is the scarcity of grazers, which is a result of overfishing and disease outbreaks. While fishing supports livelihoods, enhances local food security, and is an integral part of the Caribbean communities' culture, it remains a significant threat to coral reefs. Consequently, the Nature and Environmental Policy Plan (NEPP) 2020-2030, outlining conservation and restoration priorities in the Caribbean Netherlands, underscores the necessity of an integrated approach to tackle the complex challenges of coral reef restoration and fisheries development. The Saba government, and nature management organizations of Bonaire, St. Eustatius, and Saba are implementing the NEPP. Together with University of Applied Sciences Van Hall Larenstein, Wageningen University and WWF, they aim to identify novel species of native invertebrate grazers with the dual purpose of reef restoration and fisheries diversification. The Caribbean king crab (Maguimithrax spinosissimus), the West Indian sea egg (Tripneustes ventricosus), and the West Indian top shell (Cittarium pica) have been identified as potential candidates. Despite their preference to graze on macroalgae, their current densities are inadequate. Population enhancement of these species holds promise for reducing algae, promoting biodiversity, and simultaneously supporting small-scale fisheries. However, there is limited knowledge regarding the ecological effects and socio-economic potential of these grazers. The ReefGrazers project aims to assess the current densities of these herbivores around the BES islands, analyze their impacts on the reef, and evaluate their retention post-restocking. Socio-economic research will quantify current small-scale fishing practices, while market analysis will help assess the potential for the development of these novel resources as sustainable fisheries.