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Fulvio Giorgi, Paolo Martini
Fulvio.giorgi|Paolo.martini@artea.toscana.it
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Organismo pagatore Agenzia Regionale Toscana per le Erogazioni in Agricoltura
Pisa 8 3 2019

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• Eu CAP Tuscany paying agency
• Tuscany’s agricolture DB
• RT’s agricolture IT web gestional
platform
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covert area
(hectares)
Farmers on ARTEA 69.000 1.310.000
Vineyards 59.000
Active users (2018) 7.600

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Compositions (geography first)
 Start 2016 application campaign
 Crops geography and type
 Soil usage
 Administrative’s (all possible) layers like SIC or disadvantage zones
or crops possession (reduced errors)
 Aerial/satellite orthophoto
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Farmer’s advantage
 Farm outlook
 Geographical application/tool
 Description of farmer is do/doing (with his crops!)
 Aid from all possible geographical layers (reduced errors)
 Crops correct individuation (like vineyards!)
 «Visible» results
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ARTEA’s advantage
 «On air» control
 Geographical operation (less errors than cadastral)
 Measurement tolerance
 Crops correct individuation (like vineyards!)
 «Visible» results
 Controls grounded on all possible datasets.
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Type of applications
 EU/IT foundings and claims
 RT agricoltural applications
 Vineyards DB and vineyards application
(i.e. wine production claims)
 Farmer activity log
(quaderno di campagna)
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Current datasets and data user services
Individual (per farmer, with authenticated services)
 Geographical crops plan (in and out)
 Conduction (out)
 Farmer’s administrative’s layers (out)
 Farmer’s activity (in and out)
 Other like precision farming logs or geotagged photos (In!)
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Current open datasets
 Tuscany crops plains (year 2016, 2017, 2018) on OpenTuscany
 Tuscany soil usage on OpenTuscany
 Other administratives layers on Geoscopio (RT)
 Orthophotos on Geoscopio (RT)
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Results
 2016 (first year) geography on all Tuscany crops
 2017 – 2018 Tuscany’s vineyard geography
 2018 Tuscany’s geographical crops in openToscana
 2018 publication of farmer geographical services
 2019 experimental monitoring on claims
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Future
Monitoring:
Determination of true farmer activity (crops) by remote sensing
and/or all other kind of data sources (FB included!)
Requires:
Correct crop individuation (permanent crop advantage)
More data to reduce human in situ evaluation
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Future
From farmer:
Datalog from precision farming,
All possible farmers activity/information geotagged or not
From general source
Images from EU-Sentinel satellites (Vis. IR Radar)
…
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Fulvio Giorgi, Paolo Martini
ART€A