PurposeFood waste is one of the most challenging issues humanity is currently facing. Therefore, there has been a growing interest in the prevention of food waste because of world hunger, environmental impacts, resource scarcity and economic costs. The purpose of the study is to investigate the factors that influence food waste and the role of technology in tackling food waste in India and the Netherlands.Design/methodology/approachIn order to explore differences in food loss and waste further this study will examine a number of practices on both the production and the consumer side, in a developing country and a developed country with different culture/economic backgrounds: India and the Netherlands. The factors that influence food waste were examined with a preliminary qualitative study, which consists of semi-structured interviews, and quantitative research that comprises a survey. Semi-structured interviews were conducted in both India and the Netherlands, which consists of five interviews. The survey data was collected from 78 individuals from India and 115 individuals from the Netherlands.FindingsOne of the main findings of the research is food waste is divided into waste within agricultural production (i.e. food loss) and final household consumption (i.e. food waste). Different factors influence food loss in different stages in the supply chain. Some of these factors include wastage during processing, storage, transportation and at the market-place. New technologies can utilize food loss for new purposes, so food loss is reduced to the minimum. Food waste is mainly influenced by food passing expiry date, food that is left too long in the fridge and consumers buying too much food. In final household consumption, technologies such as digital platforms enable individuals or organizations to share and donate their food, thereby creating awareness on food waste prevention and the environmental and ethical benefits.Originality/valueThe authors examine to what extent and in which ways supporting consumers to minimize food waste can be achieved via three stages: (1) understanding and evaluating food loss and waste, (2) identifying the factors that influence food loss and waste, (3) understanding consumer behaviors to encourage food waste reduction and (4) identifying the technological impact that would reduce food waste. As such, this paper contributes to ongoing debates about food waste by looking at the role of context and culture and by exploring differences between developed and developing countries. Also, the authors advance the debate by exploring both the role of advanced technology such as blockchain and drones in both preventing loss and waste as well as non-technological mechanisms.
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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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Food Loss and Waste (FLW) leads to societal and economic burden and also has substantial environmental impact The United Nations formulated food waste reduction targets within SDG 12.3 with the aim to halve global food waste by 2030. In Europe, food waste is estimated at approximately 88 million tons per year, which Is responsible for a significant environmental impact of the food supply. The Netherlands wants to be the first country in Europe to reach the 50% food waste reduction goal. The lack of consistent tools for measuring and monitoring food loss and waste exacerbate the food waste problem. The goal of our research is to assess existing tools and models for food waste monitoring and reporting in the food production to consumption chain, in order to understand the impact monitoring has on decision making. A consistent suite of measurement and monitoring tools for different actors in the food supply system will enable the business owners and policy makers gain a better understanding of their waste streams and take actions to prevent and minimize food waste. In this paper we focus on monitoring tools for food waste aiming to reduce FLW by Small and Medium-sized Enterprises (SMEs). We investigate which features of a monitoring tool wouldfacilitate SMEs to start measuring FLW and to what extent these are covered by current tools. In our analysis we compare 15 tools and identify 108 different features. Besides an overview of these FLW monitoringsystems, our paper addresses important methodological problems in monitoring and delineating food waste, which aims contribute to new standardized methodologies for FW monitoring. In the end, this project should lead to a food production and supply system that monitors its own loss and drastically reduces its waste streams.
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Size measurement plays an essential role for micro-/nanoparticle characterization and property evaluation. Due to high costs, complex operation or resolution limit, conventional characterization techniques cannot satisfy the growing demand of routine size measurements in various industry sectors and research departments, e.g., pharmaceuticals, nanomaterials and food industry etc. Together with start-up SeeNano and other partners, we will develop a portable compact device to measure particle size based on particle-impact electrochemical sensing technology. The main task in this project is to extend the measurement range for particles with diameters ranging from 20 nm to 20 um and to validate this technology with realistic samples from various application areas. In this project a new electrode chip will be designed and fabricated. It will result in a workable prototype including new UMEs (ultra-micro electrode), showing that particle sizing can be achieved on a compact portable device with full measuring range. Following experimental testing with calibrated particles, a reliable calibration model will be built up for full range measurement. In a further step, samples from partners or potential customers will be tested on the device to evaluate the application feasibility. The results will be validated by high-resolution and mainstream sizing techniques such as scanning electron microscopy (SEM), dynamic light scattering (DLS) and Coulter counter.
In onze visie voeren robots autonoom taken uit op de akker. Ze kunnen zaaien, oogsten, onkruid verwijderen, gewassen monitoren en verzorgen. Hierdoor zijn agrariërs minder kostbare tijd kwijt aan basistaken. Ook zijn er met dit soort robots geen (of veel minder) bestrijdingsmiddelen nodig en rijden er geen zware machines meer op het land. Dit leidt tot minder bodemverdichting en daardoor hoeft het land niet (of minder diep) te worden omgeploegd. Naast een enorme besparing op brandstof leidt dit ook tot een betere bodemkwaliteit en worden nieuwe teelten mogelijk. Agrarische robots zijn volop in ontwikkeling. Er zijn echter nog een aantal uitdagingen die opgelost moeten worden. Eén van die uitdagingen is volledig autonome, robuuste en veilige navigatie. De robot moet kunnen rijden zonder een bestuurder. Het AgriNav project: Agricultural Navigation In dit project werkt Saxion samen met drie pioniers op het gebied van agrarische robots in Nederland. Het doel is om een gedegen beeld van oplossingen voor het navigatieprobleem te ontwikkelen. We brengen daarvoor in kaart welke producten en frameworks er zijn en in hoeverre deze direct te gebruiken zijn. Op basis van de bevindingen maken we een afweging of de navigatie oplossing wordt ingekocht of dat deze zelf wordt ontwikkeld, bijvoorbeeld op basis van bestaande open source projecten. Onderdeel van dit KIEM project is het starten van vervolgtrajecten, zoals RAAK-mkb of RAAK-PRO. Impact Het project “AgriNav” geeft de inzet van kleine autonome zelfrijdende robots in de agrarische sector een boost, waardoor er nieuwe en duurzamere landbouw kan ontstaan. Dit past bij de ambitie van Nederland om voorop te lopen op het gebied van technologie voor voedselproductie. Door het project wordt de kennispositie van het consortium versterkt in zowel de topsector HTSM als AgriFood en de NWA routes “Duurzame productie van gezond en veilig voedsel” en “smart industrie”.
Het lijkt de ideale oplossing: robots die de hele dag automatisch onkruid verwijderen, gewassen monitoren en verzorgen. Hierdoor zijn geen (of minder) bestrijdingsmiddelen nodig en rijden er geen zware machines meer op het land. Dit leidt tot minder bodemverdichting en het land hoeft niet (of minder) te worden omgeploegd. Naast een flinke besparing op brandstof leidt dit tot een betere kwaliteit van de grond en mogelijk nieuwe teelten. Inmiddels komen deze robots langzamerhand beschikbaar. Ze worden echter nog niet ingezet in de landbouw in Nederland. We willen inzicht in waarom deze techniek nog niet massaal wordt omarmd. Is het te duur? Niet commercieel verkrijgbaar? Onhandig? Niet robuust? Te ingewikkeld? Technisch nog niet volwassen? Of is er gewoon onbekendheid? Het project In het project brengen we in kaart welke partijen er in de markt actief zijn en welke producten er al zijn en welke nog worden ontwikkeld. Daarnaast willen we vanuit de agrarische sector weten wat zij als drempel en mogelijkheden zien voor de toepassing van deze techniek. We willen beschikbare producten testen en onder de aandacht brengen. Door in kaart te brengen wat er is en wat er gewenst is, ontstaat inzicht in de kloof die nog moet worden overbrugd. Vervolgprojecten kunnen die kloof overbruggen. Impact Het project “automatische onkruidbeheersing” geeft de inzet van kleine autonome robots in de agrarische sector een boost, waardoor er nieuwe en duurzamere landbouw ontstaat. Het project draagt bij aan de ambitie van Nederland om gidsland te zijn op het gebied van technologie voor voedselproductie. Het project wordt de kennispositie van het consortium versterkt in zowel de topsector HTSM als AgriFood en de NWA routes “Duurzame productie van gezond en veilig voedsel” en “smart industrie”.
Lectoraat, onderdeel van HAS green academy
Lectoraat, onderdeel van NHL Stenden Hogeschool
