1,720,957 research outputs found
Machine vision techniques for quality control in the wine industry
Full text linkThe wine industry is undergoing a significant digital transformation with the integration of Machine Vision Systems (MVS) for automated, precise quality control across various production stages. Despite increasing interest in MVS applications, the literature lacks a comprehensive synthesis of how these technologies are integrated throughout the winemaking process. This systematic review addresses this gap by categorizing MVS applications according to their technological approach - Stereo Vision (SV), Remote Sensing (RS), Hyperspectral Imaging (HSI), X-ray Imaging (XRI), Thermal Imaging (TI), and Magnetic Resonance Imaging (MRI) - and mapping their deployment across distinct phases of wine production. A total of 77 studies published between 2013 and 2025 were selected based on PRISMA guidelines and clearly defined inclusion criteria. The findings reveal significant advances in vineyard monitoring, grape sorting, fermentation tracking, and bottling inspection, with MVS technologies enhancing operational efficiency, sustainability, and precision in quality assessment. Nonetheless, challenges persist, particularly in mid-stage processes such as crushing and filtration, and in transitioning laboratory innovations to industrial scales due to economic and infrastructural constraints. This review not only consolidates current knowledge but also outlines critical research gaps and future directions for the integration of MVS within a broader framework of smart and sustainable viticulture. The results are intended to inform researchers, technology developers, and policymakers engaged in the digital transformation of the agri-food sector
Industry 4.0 enablers in food industry: a framework based on stakeholder challenges in quality and sustainability
Full text linkPurpose: Digital transformation is a key driver for promoting circular economy practices in organizations. This study examines emerging challenges faced by food industry companies, including manufacturers, machinery producers, and packaging suppliers, across the product lifecycle, with a focus on sustainability and quality management.
Design/methodology/approach: A mixed-method approach was adopted. First, a systematic literature review to identify relevant Industry 4.0 enablers was performed. Second, semi-structured interviews were conducted under a common protocol with a cross-section of senior practitioners from diverse firms along the food supply chain. The Gioia method and structured assessments were used to analyse interviews and develop a framework
linking Industry 4.0 technologies to sustainability and quality challenges in the food sector.
Findings: The study identifies sustainability and quality management challenges across different product lifecycle stages. The proposed framework connects these challenges with Industry 4.0 enablers, demonstrating how digital transformation enhances circular economy practices, operational efficiency, resilience and competitive advantage.
Originality/value: This research develops an integrative framework that combines sustainability, quality challenges and digital transformation in the food industry. It offers practical guidance for decision-makers on adopting Industry 4.0 enablers to drive sustainability and quality improvements while advancing circular economy objectives
Multi-objective optimization of a sterilization process in a fruits and vegetables processing industry
No full textThis study aims at optimizing food sterilization processes in sauce production within a fruits and vegetables processing industry to minimize energy, water consumption, and cost. A detailed process model characterizes heat and mass transfer dynamics based on temperature and time parameters. Pareto-optimal trade-offs for resource consumption objectives are generated, and optimal operating conditions incorporating sustainability and economic criteria are identified. Results show that optimal settings can achieve significant reductions in resource use. The proposed methodology provides a robust and generalizable decision support tool for industrial process engineers seeking to improve the environmental and economic sustainability of food processing operations
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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