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Cited by 137Smart Agriculture and AIEnergy, Environment, Agriculture AnalysisDigitalization and Economic Development in Agriculture

The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.

Agriculture 5.0: A New Strategic Management Mode for a Cut Cost and an Energy Efficient Agriculture Sector

Open access
Ragazou, Konstantina, Garefalakis, Alexandros, Zafeiriou, Eleni, Passas, Ioannis·2022·Energies
DOI 10.3390/en15093113
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Abstract

The farmers’ welfare and its interlinkages to energy efficiency and farm sustainability has attracted global scientific interest within the last few decades. This study examines the contribution of Agriculture 5.0 to the prosperity of the farmers in the post-pandemic era and the gradual transition to an energy-smart farm. To obtain an insight into the attributes of Agriculture 5.0 and the emerging technologies in the field, Bibliometrix analysis with the use of an R package was conducted based on 2000 data consisting of peer-reviewed articles. The data were retrieved from the Scopus database. A bibliometric approach was employed to analyze the data for a comprehensive overview of the trend, thematic focus, and scientific production in the field of Agriculture 5.0 and energy-smart farming. Emerging technologies that are part of Agriculture 5.0 in combination with alternative energy sources can provide cost-effective access to finance, weather updates, remotely monitoring, and future energy solutions for the establishment of smart farms. Keywords such as “renewable energy,” “Internet of Things,” and “emission control” remain the trending keywords. Moreover, thematic analysis shows that “economic and social effects”, “energy efficiency”, “remote sensing”, and “Artificial Intelligence” with their associated components such as “anaerobic digestion”, “wireless sensor network,” “agricultural robots”, and “smart agriculture” are the niche themes of Agriculture 5.0 in combination with green energy sources, which can lead to the cut cost, energy-efficient, and sustainable energy-smart farms.

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Research works printed but not linked: 2

  1. Majid, A.A.M., Alshaibi, A.J., Kostyuchenko, E., and Shelupanov, A. (Mater. Today Proc., 2021). A review of artificial intelligence based malware detection using deep learning, Mater. Today Proc., epub ahead of print.
  2. Shrivastava, A., Nayak, C.K., Dilip, R., Samal, S.R., Rout, S., and Ashfaque, S.M. (Mater. Today Proc., 2021). Automatic robotic system design and development for vertical hydroponic farming using IoT and big data analysis, Mater. Today Proc., epub ahead of print.

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Metadata

Authors
Ragazou, K., Garefalakis, A., Zafeiriou, E., & Passas, I.
Affiliations
  • Hellenic Mediterranean University (GR)
  • Democritus University of Thrace (GR)
Corresponding author
Garefalakis, Alexandros
ORCID
Venue
Energies
Publisher
MDPI AG
Published
2022-04-24
Volume
15
Issue
9
Pages
3113
ISSN
1996-1073 (ISSN-L)
DOI
10.3390/en15093113
OpenAlex
W4224313986
Cited by
125
References
53
Citations by year
2026: 20 · 2025: 34 · 2024: 44 · 2023: 19 · 2022: 8
FWCI
14.46
Type
journal article
Language
en
Open access
Licence
Locations
  • Energies (publishedVersion, cc-by)
  • RePEc: Research Papers in Economics (acceptedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Smart Agriculture and AI
  • Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Energy, Environment, Agriculture Analysis
  • Social Sciences › Business, Management and Accounting › Strategy and Management › Digitalization and Economic Development in Agriculture
Keywords
Agriculture 5.0, energy efficiency in agriculture, smart farm, cost reduction, farm sustainability, farmer welfare, Internet of Things, renewable energy, remote sensing, artificial intelligence in agriculture, anaerobic digestion, wireless sensor networks, agricultural robotics, emission control

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