The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

Bertoglio, Riccardo; Corbo, Chiara; Renga, Filippo; Matteucci, Matteo

doi:10.1109/access.2021.3115258

Cited by 60 publications

(40 citation statements)

References 75 publications

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“…In addition to the traditional food area, Bertoglio et al [21] explored the evolution of digital technologies in agriculture. Main emerging research streams such as remote sensing, climate-smart agriculture, and arti cial intelligence were revealed to adapt to reducing food loss and waste.…”

Section: Shelf-life Extension Technologiesmentioning

confidence: 99%

Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks

Thavorn

Muangsin

Gowanit

et al. 2022

The Scientific World Journal

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A clearer understanding of research streams and players involved in efforts to address the sustainability of global food and agricultural systems is needed to clarify the current state of scientific knowledge and form collaborations to pursue future research directions. This study presents new insights into this issue through a scientometric process involving a case study of technologies for extending fruit shelf-life. The text mining software was utilized to analyze 3,131 Web of Science-indexed articles published between 2000 and 2020 as a means to glean the conceptual structure of current knowledge and conduct a social network analysis to explore scientific and publication activity. The findings were mapped onto a strategic diagram of research productivity and collaboration between players at the national, organizational, and individual levels. This research’s main findings highlight that research on shelf-life technology is in continuous development, and academic institutions from China, Spain, and the U.S. are the core national players in this field. The results provide insights for further investigation to strengthen co-research and technological development programs in other fields. Researchers who are exploring networking opportunities can use the model and process presented as a guideline for identifying emerging and future research trends and formulating strategies.

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Section: Shelf-life Extension Technologiesmentioning

confidence: 99%

Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks

Thavorn

Muangsin

Gowanit

et al. 2022

The Scientific World Journal

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“…Although there are some bibliometric analyses of technological developments related to agriculture (Bertoglio et al, 2021;Martinho, 2021), crop-related climatic elements (Zyoud and Fuchs-Hanusch, 2020) and underlying organisational systems (Luo et al, 2020), the literature appears disjointed on the topic. Al-Kodmany (2018) highlights the need to bridge the gap oriented to the development and application of the vertical farm, which should guarantee environmental, social and economic benefits.…”

Section: Introductionmentioning

confidence: 99%

“…Although there are some bibliometric analyses of technological developments related to agriculture (Bertoglio et al. , 2021; Martinho, 2021), crop-related climatic elements (Zyoud and Fuchs-Hanusch, 2020) and underlying organisational systems (Luo et al.…”

Section: Introductionmentioning

confidence: 99%

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

Biancone

Brescia

Lanzalonga

et al. 2022

BFJ

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PurposeThis paper aims to explore the literature on vertical farming to define key elements to outline a business model for entrepreneurs. The research aims to stimulate entrepreneurship for vertical farming in a smart cities' context, recognising urban agriculture as technology to satisfy increasing food needs.Design/methodology/approachThe research conducts a structured literature review on 186 articles on vertical farming extracted from the Scopus. Moreover, the bibliometric analysis revealed the descriptive statistics on this field and the main themes through the authors' keywords.FindingsDifferent perspectives showed the multidisciplinary nature of the topic and how the intersection of different skills is necessary to understand the subject entirely. The keywords analysis allowed for identifying the topics covered by the authors and the business model's elements.Research limitations/implicationsThe research explores a topic in the embryonic stage to define key strands of literature. It provides business model insights extending George and Bock's (2011) research to stimulate entrepreneurship in vertical farming. Limitations arise from the sources used to develop our analysis and how the topic appears as a frontier innovation.Originality/valueOriginality is the integration of literature strands related to vertical farming, highlighting its multidisciplinary nature to provide a holistic understanding of the themes. In smart cities' context, innovations allow traditional business models to be interpreted in a novel perspective and revealed the elements for transforming vertical farming from innovative technology to an effective source of food sustenance. Finally, the paper suggests a new methodology application for the analysis of word clusters by integrating correspondence analysis and multidimensional scaling analysis.

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“…In recent years, bibliometric analysis has been applied to visualize the knowledge status, features, evolution, and emerging trends in various research fields ( 16 ). It can help scholars extract quantitative information on distribution by country/region, institution, author, journal, research hot spots, and frontiers in a particular field in a short time, providing in-depth reviews and insights about the research field ( 17 ). Therefore, the present study used bibliometric tools to analyze the QEEG studies in neuropsychiatric disorders from 2000 to 2021 to provide a comprehensive overview.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021

Yao

Zhu

et al. 2022

Front. Psychiatry

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BackgroundWith the development of quantitative electroencephalography (QEEG), an increasing number of studies have been published on the clinical use of QEEG in the past two decades, particularly in the diagnosis, treatment, and prognosis of neuropsychiatric disorders. However, to date, the current status and developing trends of this research field have not been systematically analyzed from a macroscopic perspective. The present study aimed to identify the hot spots, knowledge base, and frontiers of QEEG research in neuropsychiatric disorders from 2000 to 2021 through bibliometric analysis.MethodsQEEG-related publications in the neuropsychiatric field from 2000 to 2021 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace and VOSviewer software programs, and the online literature analysis platform (bibliometric.com) were employed to perform bibliographic and visualized analysis.ResultsA total of 1,904 publications between 2000 and 2021 were retrieved. The number of QEEG-related publications in neuropsychiatric disorders increased steadily from 2000 to 2021, and research in psychiatric disorders requires more attention in comparison to research in neurological disorders. During the last two decades, QEEG has been mainly applied in neurodegenerative diseases, cerebrovascular diseases, and mental disorders to reveal the pathological mechanisms, assist clinical diagnosis, and promote the selection of effective treatments. The recent hot topics focused on QEEG utilization in neurodegenerative disorders like Alzheimer's and Parkinson's disease, traumatic brain injury and related cerebrovascular diseases, epilepsy and seizure, attention-deficit hyperactivity disorder, and other mental disorders like major depressive disorder and schizophrenia. In addition, studies to cross-validate QEEG biomarkers, develop new biomarkers (e.g., functional connectivity and complexity), and extract compound biomarkers by machine learning were the emerging trends.ConclusionThe present study integrated bibliometric information on the current status, the knowledge base, and future directions of QEEG studies in neuropsychiatric disorders from a macroscopic perspective. It may provide valuable insights for researchers focusing on the utilization of QEEG in this field.

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The Digital Agricultural Revolution: A Bibliometric Analysis Literature Review

Cited by 60 publications

References 75 publications

Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks

Research on Shelf-Life Extension Technologies for Food Sustainability: An Assessment of Scientific Activities and Networks

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

Bibliometric Analysis of Quantitative Electroencephalogram Research in Neuropsychiatric Disorders From 2000 to 2021

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