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Fulvio Giorgi, Paolo Martini
Fulvio.giorgi|Paolo.martini@artea.toscana.it
1
Organismo pagatore Agenzia Regionale Toscana per le Erogazioni in Agricoltura
Pisa 8 3 2019
2
• Eu CAP Tuscany paying agency
• Tuscany’s agricolture DB
• RT’s agricolture IT web gestional
platform
N
covert area
(hectares)
Farmers on ARTEA 69.000 1.310.000
Vineyards 59.000
Active users (2018) 7.600
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
3
4
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
5
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.
6
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)
7
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!)
8
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)
9
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
10
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
11
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)
…
12
Fulvio Giorgi, Paolo Martini
ART€A

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GeoSpatial Aided Applications: farmer usage and administration data control, the Artea case

  • 1. Fulvio Giorgi, Paolo Martini Fulvio.giorgi|Paolo.martini@artea.toscana.it 1 Organismo pagatore Agenzia Regionale Toscana per le Erogazioni in Agricoltura Pisa 8 3 2019
  • 2. 2 • Eu CAP Tuscany paying agency • Tuscany’s agricolture DB • RT’s agricolture IT web gestional platform N covert area (hectares) Farmers on ARTEA 69.000 1.310.000 Vineyards 59.000 Active users (2018) 7.600
  • 3. 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 3
  • 4. 4
  • 5. 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 5
  • 6. 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. 6
  • 7. 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) 7
  • 8. 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!) 8
  • 9. 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) 9
  • 10. 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 10
  • 11. 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 11
  • 12. 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) … 12
  • 13. Fulvio Giorgi, Paolo Martini ART€A