SlideShare a Scribd company logo
www.irstea.fr
Pour mieux
affirmer
ses missions,
le Cemagref
devient Irstea
Géraldine ANDRE, Stephan BERNARD, Daniel BOFFETY ,
Jean-Pierre CHANET, Gil DE SOUSA, François PINET,
Catherine ROUSSEY
Panel session, MTSR, Göttingen, November 24th 2016
Irstea Use Case: Integration
of Crop Observations using
Semantic Web Technologies
Thanks to Vespa Project
2
AgroTechnoPôle
Agrotechnopole is a center for experiments in robotics and digital
agriculture
Irstea Research Farm located at Montoldre:
Plots with mixed crops: wheat, pasture
Plots with sensors: humidity, temperature, etc.
Crop observations to evaluate pest risk attacks
Alert farmers as quickly as possible
Risk depend on crop, crop development stage, weather conditions, etc.
How to integrate all the needed data in order to run risk models?
Context: Different schemas, different providers,
shared information between farmers institutions, private information…
Solution? Semantic Web Technologies and Open Data
 Linked Open Data (LOD)
shared schema, shared pivot data
3
Automatic Observations made by Sensors
Weather Station
Weather data
published on LOD
Sensor located in the
plot
Soil Humidity and
temperature
Robots in charge of
transmit data when
wireless communication is
not possible
4
Human Observations
Farmer information system stores crop types
growing on the plot
Farmer evaluates crop development stage
for each plot
Risk level from the regional Plant Health Bulletin(s)
(PHB) published as LOD
PHB provides human synthesis of crop
development stage and risk attacks
FrenchCropUsage a thesaurus of crop type data
published on the LOD
An example of pivot data used to link data set
Region: Midi Pyrénées
Publication Date:
2010/07/08
Crop category: Cereals

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Irstea Use Case: Integration of Crop Observations using Semantic Web Technologies

  • 1. www.irstea.fr Pour mieux affirmer ses missions, le Cemagref devient Irstea Géraldine ANDRE, Stephan BERNARD, Daniel BOFFETY , Jean-Pierre CHANET, Gil DE SOUSA, François PINET, Catherine ROUSSEY Panel session, MTSR, Göttingen, November 24th 2016 Irstea Use Case: Integration of Crop Observations using Semantic Web Technologies Thanks to Vespa Project
  • 2. 2 AgroTechnoPôle Agrotechnopole is a center for experiments in robotics and digital agriculture Irstea Research Farm located at Montoldre: Plots with mixed crops: wheat, pasture Plots with sensors: humidity, temperature, etc. Crop observations to evaluate pest risk attacks Alert farmers as quickly as possible Risk depend on crop, crop development stage, weather conditions, etc. How to integrate all the needed data in order to run risk models? Context: Different schemas, different providers, shared information between farmers institutions, private information… Solution? Semantic Web Technologies and Open Data  Linked Open Data (LOD) shared schema, shared pivot data
  • 3. 3 Automatic Observations made by Sensors Weather Station Weather data published on LOD Sensor located in the plot Soil Humidity and temperature Robots in charge of transmit data when wireless communication is not possible
  • 4. 4 Human Observations Farmer information system stores crop types growing on the plot Farmer evaluates crop development stage for each plot Risk level from the regional Plant Health Bulletin(s) (PHB) published as LOD PHB provides human synthesis of crop development stage and risk attacks FrenchCropUsage a thesaurus of crop type data published on the LOD An example of pivot data used to link data set Region: Midi Pyrénées Publication Date: 2010/07/08 Crop category: Cereals