Digital twins are being adopted by increasingly more industries, transforming them and bringing new opportunities. provide previously unheard levels of control over physical entities help to manage complex systems integrating an array technologies. Recently, agriculture has seen several technological advancements, but it is still unclear if this community making effort adopt digital in its operations. In work, we employ a mixed-method approach investigate the added-value for agriculture. We...

Many studies have applied machine learning to crop yield prediction with a focus on specific case studies. The data and methods they used may not be transferable other crops locations. On the hand, operational large-scale systems, such as European Commission's MARS Crop Yield Forecasting System (MCYFS), do use learning. Machine is promising method especially when large amounts of are being collected published. We combined agronomic principles modeling build baseline for forecasting. workflow...

Machine learning models for crop yield forecasting often rely on expert-designed features or predictors. The effectiveness and interpretability of these handcrafted depends the expertise people designing them. Neural networks have ability to learn directly from input data train feature prediction steps simultaneously. In this paper, we evaluate performance neural network using MARS Crop Yield Forecasting System European Commission's Joint Research Centre. selected can handle sequential time...

Big data applications in agriculture evolve fast, as more experience, applications, good practices and computational power become available. Actual solutions to real-life problems are scarce. What characterizes the adoption of big what extent is there a match between them? We aim assess conditions technologies agricultural based on investigation twelve practical use cases precision livestock domain. mixed method approach: case study research around Horizon 2020 project CYBELE, varying from...

Crop yield forecasting at national level relies on predictors aggregated from smaller spatial units to larger ones according harvested crop areas. Such areas come land cover maps or reported statistics, both of which can have errors and uncertainties. Sub-national regional minimizes the propagation these some extent. In addition, forecasts provide added value insights stakeholders differences within a country, would otherwise compensate each other level. We propose approach for multiple...

In the environmental sciences, there are ongoing efforts to combine multiple models assist analysis of complex systems. Combining process-based models, which have encoded domain knowledge, with machine learning can flexibly adapt input data, improve modeling capabilities. However, both types data limitations. We propose a methodology overcome these issues by using model generate aggregating them lower resolution mimic real situations, and developing fraction inputs. showcase this method case...

Purpose – The purpose of this paper is to simulate compliance behaviour entrepreneurs in the Netherlands based on Table Eleven: 11 factors determining (based economic, cognitive, social and institutional factors). Design/methodology/approach An Agent-Based Model (ABM) was developed that could incorporate both individual group allowed evaluate effect various intervention strategies. For purpose, a case study pig farmers with antibiotics legislation used. Findings (acceptance influence) levels...

To create quality decision-making tools that would contribute to transport sustainability, we need build models relying on accurate, timely, and sufficiently disaggregated data. In spite of today’s ubiquity big data, practical applications are still limited have not reached technology readiness. Among them, passively generated telecom data promising for studying travel-pattern generation. The objective this study is twofold. First, demonstrate how can be fused with other sources used feed up...

Recent advances in smart glasses technologies bare tremendous potential for people with low vision. In particular, the use of optical-see through has been gaining momentum field. We examined how these devices are perceived by vision and factors that might influence their wide-scale adoption. conducted semi-structured interviews 29 participants. asked participants about desired functionalities, aesthetics (including wearing public versus private), preferred interaction mode, willingness to...

Effective support for policy makers depends on the ability to model micro level, in terms of adaptive individual decision making process given subjective social norms, preferences, and interpretation policies. But also requires specification macro level changes such as institutions emerging norms values. In this paper, we introduce MASQ metamodel describe both well issues that relate evaluation, their interactions. We use a real life scenario, pig farm industry China, illustrate our proposal.

Effective support for policy makers depends on the ability to model micro level, in terms of adaptive individual decision making process given subjective social norms, preferences, and interpretation policies. But also requires specification macro level changes such as institutions emerging norms values. In this paper, we introduce MASQ metamodel describe both well issues that relate evaluation, their interactions. We use a real life scenario, pig farm industry China, illustrate our proposal.

We present a research plan to assess the value of transparency by comparing pork supply chains in The Netherlands and China.We assume that chain performance depends on configuration, which societal context its associated quality control institutions. define configuration terms structure transparency. In order be able influence institutions performance, we compare two countries have very different societies. Ultimately, our goal is indicate whether certain suits all, or should tailored context. .

Nalevingsgedrag wordt door een aantal factoren beïnvloed. Deze zijn het ministerie van Justitie samengevat in de Tafel Elf, die zowel spontane nalevings- als handhavingsdimensies bevat. Elk individu gaat verschillend om met deze dimensies. Om overall iets te kunnen zeggen over nalevingsgedrag doelgroep dienen verschillende individuen/bedrijven en hun interacties beschreven worden. Dit is mogelijk gebruik maken Agent-Based Modeling (ABM). ABM hier onderzoek toegepast casestudie naar correct...