Efficiënter gebruik van raapzaad : Mogelijkheden van raapzaad als grondstof voor de Biobased Economy

In dit onderzoek is nagegaan of er mogelijkheden zijn om door inzet van bioraffinage, raapzaad op een efficiëntere wijze te gebruiken. Bioraffinage opent mogelijkheden om componenten vrij te maken uit een grondstof. Resultaat van deze studie was dat een laag-eiwit component mogelijk gebruikt kan worden voor diervoeder, een hoog-eiwitcomponent toepasbaar is in petfood, voor jonge dieren of in de materialenindustrie en chemische sector, en glucosinolaat als derde component voor toepassing als biofumigant tegen nematoden

Data from a survey of sensor technologies for food intake measurement

A survey of potential non-invasive sensing technologies suitable for measuring food intake and meal properties

A systematic approach to preventing chilled-food waste at the retail outlet

The objective of this paper is to develop a systematic overview of interventions for preventing chilled-food waste at retail outlets, and to assess the impact of these interventions for a particular case of fresh-cut iceberg lettuce at a Dutch retail outlet. The structure of the simulation model as presented in this paper is generic, hence suitable for other retailers and other chilled-food products as well. The generated systematic overview focusses on interventions that do not require a system change. A distinction is made into technical, logistical and marketing interventions. Model simulations show the effectiveness of these interventions. It is concluded that a number of ‘waste drivers’ exists, such as a low and varying consumer demand, high selection behaviour, the order lead time, a fixed order unit, and a short use-by date. The retailer can fine-tune the replenishment level of his order policy and the way of rounding to the given order unit, but by doing so he is at best able to exchange waste for out-of-stock or the other way around. The systematic overview of interventions is valuable input to future research on defining and estimating the effectiveness of combining interventions, and interventions that do require a system change.</p

Combining information on structure and content to automatically annotate natural science spreadsheets

In this paper we propose several approaches for automatic annotation of natural science spreadsheets using a combination of structural properties of the tables and external vocabularies. During the design process of their spreadsheets, domain scientists implicitly include their domain model in the content and structure of the spreadsheet tables. However, this domain model is essential to unambiguously interpret the spreadsheet data. The overall objective of this research is to make the underlying domain model explicit, to facilitate evaluation and reuse of these data. We present our annotation approaches by describing five structural properties of natural science spreadsheets, that may pose challenges to annotation, and at the same time, provide additional information on the content. For example, the main property we describe is that, within a spreadsheet table, semantically related terms are grouped in rectangular blocks. For each of the five structural properties we suggest an annotation approach, that combines heuristics on the property with knowledge from external vocabularies. We evaluate our approaches in a case study, with a set of existing natural science spreadsheets, by comparing the annotation results with a baseline based on purely lexical matching. Our case study results show that combining information on structural properties of spreadsheet tables with lexical matching to external vocabularies results in higher precision and recall of annotation of individual terms. We show that the semantic characterization of blocks of spreadsheet terms is an essential first step in the identification of relations between cells in a table. As such, the annotation approaches presented in this study provide the basic information that is needed to construct the domain model of scientific spreadsheets

On the validation of improved quality-decay models of potted plants

Storage experiments were carried out with potted plants: two Phalaenopsis cultivars and one Anthurium cultivar. The plants were stored in the dark for different storage times at different temperatures, to mimick a transport phase. Different quality aspects were scored immediately after the transport phase and after a subsequent display phase of 7 and 14 days at in-store conditions. Improved quality decay models compared to previous work were designed to quantify the effect of transport on the shelf life of potted plants. Of each cultivar, plants were obtained from two commercial growers in the Netherlands. Only the data from the first grower were used for improving the quality-decay models. The models were subsequently validated using the data from the second grower, as well as data from the first grower from year 2013 instead of 2015. So validation took place both in origin (a different grower) and in time (a different year). The validation showed that the behaviour of Anthurium ‘Arion’ was well predicted by the previously designed quality-decay models. For Phalaenopsis the performance of the quality-decay models differed per storage temperature. It was concluded that a quality-decay model first needs to be validated before it can be applied to predict the quality decay of a different production batch.</p