Smart-Field of the Farm, First Relevant Link of Transparent Path of Grapes in the Farm to Fork Value Chain: A Review Article Swipe
Constantin Vîlcu
,
Steve Vanlanduit
,
Resul Kara
,
Aurora Ranca
,
Mohamed Bourouah
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5772/intechopen.108902
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.5772/intechopen.108902
Data-based farming facilitates the zonal management (Smart-FIELD) in the smart farm (SF) vineyards. The classic SCADA for data acquisition and processing system, used especially in rapid industrial processes, can also be adapted for the slow processes (during a vegetation period) of horticultural crops (including the vineyards). The Smart-SCADA core software activities will develop through AI modules the CPS technique for integrating IoT devices with operational applicability in vineyards SF. The Web Smart-SCADA core interconnection with the European platforms in use (UTOPIA, ATLAS, DEMETER, PANTHEON, SmartAgriHubs, …) will add value in the transparency of the traceability of the F2F value chain of grapes.
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Metadata
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- Language
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- https://www.intechopen.com/citation-pdf-url/85129
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4312118897Canonical identifier for this work in OpenAlex
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https://doi.org/10.5772/intechopen.108902Digital Object Identifier
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Smart-Field of the Farm, First Relevant Link of Transparent Path of Grapes in the Farm to Fork Value Chain: A ReviewWork title
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reviewOpenAlex work type
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enPrimary language
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2022Year of publication
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2022-12-24Full publication date if available
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Constantin Vîlcu, Steve Vanlanduit, Resul Kara, Aurora Ranca, Mohamed BourouahList of authors in order
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https://doi.org/10.5772/intechopen.108902Publisher landing page
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hybridOpen access status per OpenAlex
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SCADA, Traceability, Internet of Things, Transparency (behavior), Engineering, Computer science, Systems engineering, Embedded system, Computer security, Software engineering, Electrical engineeringTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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| abstract_inverted_index.SCADA | 15 |
| abstract_inverted_index.chain | 99 |
| abstract_inverted_index.crops | 42 |
| abstract_inverted_index.rapid | 25 |
| abstract_inverted_index.smart | 9 |
| abstract_inverted_index.value | 88, 98 |
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| abstract_inverted_index.ATLAS, | 81 |
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| abstract_inverted_index.adapted | 31 |
| abstract_inverted_index.classic | 14 |
| abstract_inverted_index.develop | 52 |
| abstract_inverted_index.devices | 62 |
| abstract_inverted_index.farming | 1 |
| abstract_inverted_index.grapes. | 101 |
| abstract_inverted_index.modules | 55 |
| abstract_inverted_index.period) | 39 |
| abstract_inverted_index.system, | 21 |
| abstract_inverted_index.through | 53 |
| abstract_inverted_index.(UTOPIA, | 80 |
| abstract_inverted_index.DEMETER, | 82 |
| abstract_inverted_index.European | 76 |
| abstract_inverted_index.software | 49 |
| abstract_inverted_index.PANTHEON, | 83 |
| abstract_inverted_index.platforms | 77 |
| abstract_inverted_index.processes | 35 |
| abstract_inverted_index.technique | 58 |
| abstract_inverted_index.vineyards | 67 |
| abstract_inverted_index.(including | 43 |
| abstract_inverted_index.Data-based | 0 |
| abstract_inverted_index.activities | 50 |
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| abstract_inverted_index.processes, | 27 |
| abstract_inverted_index.processing | 20 |
| abstract_inverted_index.vegetation | 38 |
| abstract_inverted_index.vineyards. | 12 |
| abstract_inverted_index.Smart-SCADA | 47, 71 |
| abstract_inverted_index.acquisition | 18 |
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| abstract_inverted_index.operational | 64 |
| abstract_inverted_index.vineyards). | 45 |
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| abstract_inverted_index.transparency | 91 |
| abstract_inverted_index.(Smart-FIELD) | 6 |
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| abstract_inverted_index.SmartAgriHubs, | 84 |
| abstract_inverted_index.interconnection | 73 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5065578463 |
| countries_distinct_count | 4 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I4210134957 |
| citation_normalized_percentile.value | 0.68065693 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |