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WalloonAgriculturalResearchCentre
Integration of traceability and geographical
information for the development of farm
advisory systems and the control of agro-
environmental measures
Robert OGER and Dominique BUFFET
Walloon Agricultural Research Centre
Biometry, Data processing and Agrometeorology Unit
Ministry of the Walloon region
Stereo Scientific Meeting
Agriculture and Vegetation at a local scale
Habay-la-Neuve, 20 September 2005
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
General context (1/4)
 Changes of management practices at the farm
level
 New technological methods related to high and
specific quality characteristics of products
 The compulsory nature of national and European
agri-environmental regulations.
 Educational initiatives
 The voluntary use of global assessment or
management tools
 The need to qualify the final products or the
production process
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
General context (2/4)
European Directives
CAP
• 1st Pillar &2nd Pillar:
=> Good Agricultural and Environmental Conditions (GAEC)
=> Good Farming Practices (GFP)
• Introduces single payment scheme and cross compliance
• EU25 MS must implement IACS & digital LPIS (Cons. Reg. 1593/00 & 1782/03)
• Farm Advisory System (FAS)
• Annual information flux from farmers to administrative bodies
• Geographical and temporal information
• Exchanges of information between the different control bodies
(agriculture, environment…)
• GIS and unique reference for declarations and cross compliance + CwRS
• Feed-back to farmers
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
General context (3/4)
European Directives
Traceability
• Food & feeds quality, traceability and certification
• Introduces traceability concept in agriculture
• Coming in force with General Food Law (Reg. 178/02)
• From farm to fork => along the agro-food chain => multi-actors
• Traceability at the production level = field
• Geographical & temporal information
• Multi-Field Identification and Management Systems Interconnection
needs.
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
General context (4/4)
Traceability
CAP
FARMER
CO-OPERATIVE
IACS
TRACEABILITY
SYSTEMS
FARMER
CO-OPERATIVE
ENVIRONMENT
CONTROL
BODIES
Multi-information type (geographic and/or non geographic)
Multi-objects (objects are specific to agriculture and enviromental features)
Multi-users ( farmer, collectors, transformers, control bodies and consumers)
Multi-systems (IACS for CAP but very heterogeneous for traceability systems
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Traceability and geographical
information : necessity to implement an
integrated approach
IACS /
LPIS data
Remote
sensing data
Traceability
data
Geographical
data
Thematic and
additional information
at the parcel scale
and its environment
Spatial data on
the environment
of farms or
parcels
Alphanumerical
databases from
farmers or farmers
associations
Alphanumerical and
graphical databases
on land parcels
A great number and a great diversity of data providers
Different types of standards and norms for data exchange
A huge volume of data to manage
A great diversity of potential users
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach
Provide added value for specific production
methods
Ensure improved risk management
Promote the quality and the origin of products
Facilitate control of cross compliance in the frame
of the CAP reform
Improve the management of agricultural activities
Combine traceability and geographical information
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach
Combine traceability and geographical information
Traceability generally covers two basic principles :
Tracking is the possibility to locate a product at a certain moment in
the food chain
Tracing refers to the ability to describe the history of a product from
the raw material to the final product
Position X=4.233,565
Y = 2.586,5616
Farmer: Dupont
Type : winter wheat
•For agricultural products, traceability mainly concerns the
upstream of the agro-food chain at the field or parcel level
•Traceability data may be used to describe the relationship
between the production parcel and its environment.
Field TablePrimary producers
Supply – Transport – Stock management
Food processors Retail
Upstream Traceability Downstream Traceability ConsumersProducers
GeoTraceability Service Societies
Geotraceability is the contribution of geographical data to
classical traceability
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Traceability and geographical information :
importance of geography for agricultural
productions
• Impact of environment on the
agricultural parcels
• Impact of agricultural practices
on parcel environment
• Influence of parcel characteristics
on the agricultural products
• Parcel history
N
N-1
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Some difficulties to implement an
integrated system for geotraceability
• Great diversity of data for the qualification of agricultural
products and their impact on th environment.
– Land use, topography, climatology
– Soil type, soil and parcel hydraulic
– Inter and intra-parcel agricultural practices (varieties,
fertilization, harvest date).
• All the data are not necessarily available
– Technical data from farms at the parcel level
– Data on surrounding parcels
– Environmental data in general
• When available
– Data are seldom georeferenced
– Data are not homogeneous or standardized
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Two opportunities (1/2)
Multi annual
cartography of
arable land
Land parcel identification system (LPIS) gives an unique parcel
identification number and access to the annual cartography of
the arable lands on the whole territory of the European Union.
The European regulation 1593/00 compels any member State that
« provision should be made for the introduction of computerised
geographical information system techniques for the identification of
agricultural parcels » : Land Parcel Identification System (LPIS)
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Two opportunities (2/2)
2) Remote sensing imagery makes it possible to bring
georeferenced, significant, factual and contextual
information in association with LPIS and traceability data.
To provides a global and spatial
vision of the environment which is
required to complete the analysis
of the impact of agricultural
production on the parcels
surroundings and its consequences
on the environment.
Supervised classification
and production of
agricultural land cover
maps
Enables to share the information. There is no problem of
information ownership rights. Therefore, a farmer can have access
to his farm environment information.
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach
Provide added value for specific production
methods
Ensure improved risk management
Promote the quality and the origin of produce
Facilitate control of cross compliance in the frame
of the CAP reform
Improve the management of agricultural activities
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
There are two main elements of Cross Compliance:
– Statutory Management Requirements (SMRs)
• Public, animal and plant health
• Environment
– Good Agricultural and Environmental
Conditions (GAECs)
• Soil erosion (soil protection).
• Soil organic matter (maintenance of soil organic
matter levels).
• Soil structure (maintenance of soil structure).
• Minimum level of maintenance
Objectives of an integrated approach
Facilitate control of cross compliance
Cross compliance : A set of standards and requirements which
farmers have to meet as a condition of receiving their Single
Farm Payment
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Possible use of Remote Sensing to
Control GAECS and AEM
Just pastured
Not yet pastured
• Reinforcement of rapid field visit
for cross compliance
• Parcel net area (VHR imagery )
• General land use and status of
maintenance (Set aside or pasture
land
• Support for regional fraud
detection on specific GAECS issues
• Support for regional control of AEM
– Conservation of features of the
ecological network and landscape
(hedges and woody strips isolated
trees or shrubs, standard fruit
trees and groves, ponds)
– Soil winter cover
– Extensive grassy headland (grassy
headlands next to crop, extensive
grazing strip)
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach
Provide added value for specific production
methods
Ensure improved risk management
Promote the quality and the origin of produce
Facilitate control of cross compliance in the frame
of the CAP reform
Improve the management of agricultural activities
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach
Improve the management of agricultural activities
By January 2007, EU Member States shall set up a “Farm Advisory
System” operated by one or more designated authorities or by private
bodies.
To help farmers to meet the standards of modern, high-quality
agriculture, it is necessary that Member States establish a comprehensive
system offering advice on land and farm management.
Farmers will participate in the farm advisory system on a voluntary basis
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Objectives of an integrated approach :
Improve the management of agricultural activities
Four major inputs of integrated
systems can be obtained with
remote sensing data.
•Agricultural land cover maps (Choice
of seeds crops implantation)
•Slope maps (Choice of land management
practices)
•River network (Choice of grassy strips
implantation zones)
•VHR and hyperspectral images (Precision
farming)
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Setting up an integrated system : main
constraints
A system which:
 Is related to various field of activity (control, management, products certification…)
 Is designed for multiple actors (administration, farmers, industry…)
 Is able to manage various types of data (geographical and non geographical data…)
 Is made up of various data sources (LPIS, remote sensing imagery…)
 Is made up of cross-cutting functionalities (farm management)
 Enables a fast, easy access to data and services (internet information access)
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Setting up an integrated system :
shared information infrastructures
Interoperable
computer infrastructures
based on data standards
able to ensure the
exchange of
geographical,
traceability and CAP data
through the internet
Provide extended GIS
capabilities such as
spatial data analysis,
web mapping
Based on metadata
catalogues
WalloonAgriculturalResearchCentre
Walloon Agricultural Research Centre (CRA-W)
Biometry, Data processing and Agrometeorology Unit
buffet@cra.wallonie.be – oger@cra.wallonie.be
Thanks for your attention
Robert OGER and Dominique BUFFET
Walloon Agricultural Research Centre
Biometry, Data processing and Agrometeorology Unit
Ministry of the Walloon region

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Integration of traceability and geographical information for the development of farm advisory systems and the control of agro-environmental measures

  • 1. WalloonAgriculturalResearchCentre Integration of traceability and geographical information for the development of farm advisory systems and the control of agro- environmental measures Robert OGER and Dominique BUFFET Walloon Agricultural Research Centre Biometry, Data processing and Agrometeorology Unit Ministry of the Walloon region Stereo Scientific Meeting Agriculture and Vegetation at a local scale Habay-la-Neuve, 20 September 2005
  • 2. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be General context (1/4)  Changes of management practices at the farm level  New technological methods related to high and specific quality characteristics of products  The compulsory nature of national and European agri-environmental regulations.  Educational initiatives  The voluntary use of global assessment or management tools  The need to qualify the final products or the production process
  • 3. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be General context (2/4) European Directives CAP • 1st Pillar &2nd Pillar: => Good Agricultural and Environmental Conditions (GAEC) => Good Farming Practices (GFP) • Introduces single payment scheme and cross compliance • EU25 MS must implement IACS & digital LPIS (Cons. Reg. 1593/00 & 1782/03) • Farm Advisory System (FAS) • Annual information flux from farmers to administrative bodies • Geographical and temporal information • Exchanges of information between the different control bodies (agriculture, environment…) • GIS and unique reference for declarations and cross compliance + CwRS • Feed-back to farmers
  • 4. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be General context (3/4) European Directives Traceability • Food & feeds quality, traceability and certification • Introduces traceability concept in agriculture • Coming in force with General Food Law (Reg. 178/02) • From farm to fork => along the agro-food chain => multi-actors • Traceability at the production level = field • Geographical & temporal information • Multi-Field Identification and Management Systems Interconnection needs.
  • 5. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be General context (4/4) Traceability CAP FARMER CO-OPERATIVE IACS TRACEABILITY SYSTEMS FARMER CO-OPERATIVE ENVIRONMENT CONTROL BODIES Multi-information type (geographic and/or non geographic) Multi-objects (objects are specific to agriculture and enviromental features) Multi-users ( farmer, collectors, transformers, control bodies and consumers) Multi-systems (IACS for CAP but very heterogeneous for traceability systems
  • 6. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Traceability and geographical information : necessity to implement an integrated approach IACS / LPIS data Remote sensing data Traceability data Geographical data Thematic and additional information at the parcel scale and its environment Spatial data on the environment of farms or parcels Alphanumerical databases from farmers or farmers associations Alphanumerical and graphical databases on land parcels A great number and a great diversity of data providers Different types of standards and norms for data exchange A huge volume of data to manage A great diversity of potential users
  • 7. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach Provide added value for specific production methods Ensure improved risk management Promote the quality and the origin of products Facilitate control of cross compliance in the frame of the CAP reform Improve the management of agricultural activities Combine traceability and geographical information
  • 8. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach Combine traceability and geographical information Traceability generally covers two basic principles : Tracking is the possibility to locate a product at a certain moment in the food chain Tracing refers to the ability to describe the history of a product from the raw material to the final product Position X=4.233,565 Y = 2.586,5616 Farmer: Dupont Type : winter wheat •For agricultural products, traceability mainly concerns the upstream of the agro-food chain at the field or parcel level •Traceability data may be used to describe the relationship between the production parcel and its environment. Field TablePrimary producers Supply – Transport – Stock management Food processors Retail Upstream Traceability Downstream Traceability ConsumersProducers GeoTraceability Service Societies Geotraceability is the contribution of geographical data to classical traceability
  • 9. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Traceability and geographical information : importance of geography for agricultural productions • Impact of environment on the agricultural parcels • Impact of agricultural practices on parcel environment • Influence of parcel characteristics on the agricultural products • Parcel history N N-1
  • 10. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Some difficulties to implement an integrated system for geotraceability • Great diversity of data for the qualification of agricultural products and their impact on th environment. – Land use, topography, climatology – Soil type, soil and parcel hydraulic – Inter and intra-parcel agricultural practices (varieties, fertilization, harvest date). • All the data are not necessarily available – Technical data from farms at the parcel level – Data on surrounding parcels – Environmental data in general • When available – Data are seldom georeferenced – Data are not homogeneous or standardized
  • 11. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Two opportunities (1/2) Multi annual cartography of arable land Land parcel identification system (LPIS) gives an unique parcel identification number and access to the annual cartography of the arable lands on the whole territory of the European Union. The European regulation 1593/00 compels any member State that « provision should be made for the introduction of computerised geographical information system techniques for the identification of agricultural parcels » : Land Parcel Identification System (LPIS)
  • 12. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Two opportunities (2/2) 2) Remote sensing imagery makes it possible to bring georeferenced, significant, factual and contextual information in association with LPIS and traceability data. To provides a global and spatial vision of the environment which is required to complete the analysis of the impact of agricultural production on the parcels surroundings and its consequences on the environment. Supervised classification and production of agricultural land cover maps Enables to share the information. There is no problem of information ownership rights. Therefore, a farmer can have access to his farm environment information.
  • 13. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach Provide added value for specific production methods Ensure improved risk management Promote the quality and the origin of produce Facilitate control of cross compliance in the frame of the CAP reform Improve the management of agricultural activities
  • 14. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be There are two main elements of Cross Compliance: – Statutory Management Requirements (SMRs) • Public, animal and plant health • Environment – Good Agricultural and Environmental Conditions (GAECs) • Soil erosion (soil protection). • Soil organic matter (maintenance of soil organic matter levels). • Soil structure (maintenance of soil structure). • Minimum level of maintenance Objectives of an integrated approach Facilitate control of cross compliance Cross compliance : A set of standards and requirements which farmers have to meet as a condition of receiving their Single Farm Payment
  • 15. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Possible use of Remote Sensing to Control GAECS and AEM Just pastured Not yet pastured • Reinforcement of rapid field visit for cross compliance • Parcel net area (VHR imagery ) • General land use and status of maintenance (Set aside or pasture land • Support for regional fraud detection on specific GAECS issues • Support for regional control of AEM – Conservation of features of the ecological network and landscape (hedges and woody strips isolated trees or shrubs, standard fruit trees and groves, ponds) – Soil winter cover – Extensive grassy headland (grassy headlands next to crop, extensive grazing strip)
  • 16. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach Provide added value for specific production methods Ensure improved risk management Promote the quality and the origin of produce Facilitate control of cross compliance in the frame of the CAP reform Improve the management of agricultural activities
  • 17. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach Improve the management of agricultural activities By January 2007, EU Member States shall set up a “Farm Advisory System” operated by one or more designated authorities or by private bodies. To help farmers to meet the standards of modern, high-quality agriculture, it is necessary that Member States establish a comprehensive system offering advice on land and farm management. Farmers will participate in the farm advisory system on a voluntary basis
  • 18. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Objectives of an integrated approach : Improve the management of agricultural activities Four major inputs of integrated systems can be obtained with remote sensing data. •Agricultural land cover maps (Choice of seeds crops implantation) •Slope maps (Choice of land management practices) •River network (Choice of grassy strips implantation zones) •VHR and hyperspectral images (Precision farming)
  • 19. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Setting up an integrated system : main constraints A system which:  Is related to various field of activity (control, management, products certification…)  Is designed for multiple actors (administration, farmers, industry…)  Is able to manage various types of data (geographical and non geographical data…)  Is made up of various data sources (LPIS, remote sensing imagery…)  Is made up of cross-cutting functionalities (farm management)  Enables a fast, easy access to data and services (internet information access)
  • 20. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Setting up an integrated system : shared information infrastructures Interoperable computer infrastructures based on data standards able to ensure the exchange of geographical, traceability and CAP data through the internet Provide extended GIS capabilities such as spatial data analysis, web mapping Based on metadata catalogues
  • 21. WalloonAgriculturalResearchCentre Walloon Agricultural Research Centre (CRA-W) Biometry, Data processing and Agrometeorology Unit buffet@cra.wallonie.be – oger@cra.wallonie.be Thanks for your attention Robert OGER and Dominique BUFFET Walloon Agricultural Research Centre Biometry, Data processing and Agrometeorology Unit Ministry of the Walloon region