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O. 24-Decision support systems (DSS) for weed control in Europe–state-of-the-art and identification of 'best parts' for unification on a European level

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  • IPM Consult ApS

Abstract

A survey has been conducted of decisions support systems (DSS's) for weed control in Europe. 9 DSS's representing 7 countries were studied. These were all targeted at farmers, but they differed in decisions supported, in number of crops covered and in demonstrated impact. At a workshop in Denmark in March 2008, a set of 'best parts' / 'building blocks' from these DSS's suitable for unification of a European level was identified. These could form the basis for building and validating DSS's on a European level that meets requirements for robustness in production lines and which hold some potential for reducing dependency and / or use of herbicides. When some robust and potent DSS concepts have been identified, the production and exchange of data that support integrated decision algorithms and calculation models of such DSS should be co-ordinated on a European level.
ENDURE International Conference 2008
Diversifying crop protection, 12-15 October 2008
La Grande-Motte, France - Oral presentations
O.24 - Decision support systems (DSS) for weed control
in Europe – state-of-the-art and identification of ‘best parts’
for unification on a European level
Rydahl, P.1, Berti, A.2, Munier-Jolain, N.3
1 Aarhus University, Faculty of Agricultural Sciences, Flakkebjerg – Slagelse, 4200, Denmark
2 Dipartimento di Agronomia Ambientale e Produzioni Vegetali dell'Università di Padova, Agripolis, 35020
Legnaro (Padova), Italy
3 INRA Centre de Dijon, 17 rue Sully - B.P.86510 - 21065 Dijon Cedex, France
Contact: per.rydahl@agrsci.dk
Abstract
A survey has been conducted of decisions support systems (DSS’s) for weed control in Europe. 9 DSS’s representing 7
countries were studied. These were all targeted at farmers, but they differed in decisions supported, in number of crops covered
and in demonstrated impact. At a workshop in Denmark in March 2008, a set of 'best parts' / 'building blocks' from these DSS’s
suitable for unification of a European level was identified. These could form the basis for building and validating DSS’s on a
European level that meets requirements for robustness in production lines and which hold some potential for reducing
dependency and / or use of herbicides. When some robust and potent DSS concepts have been identified, the production and
exchange of data that support integrated decision algorithms and calculation models of such DSS should be co-ordinated on a
European level.
State-of-the-art
A common data form was developed to conduct a survey on existing DSS’s for weed control in EU-
countries and Switzerland. The survey included the following main questions:
Which decisions are supported?
Which modeling approaches have been used?
How is communication with users being done?
Have the DSS’s demonstrated some impact?
Have opportunities for integration been identified?
Are procedures for updating been followed?
Have potentials for unification been identified?
Are there restrictions regarding ownership?
Has feedback to research been demonstrated?
Have some 'best parts' been identified locally?
Results from the survey were presented on several DSS’s at the pan-European workshop held in
Flakkebjerg, Denmark in March, 2008. The objectives of this workshop were to present exising DSS’s
for crop protection and to identify some ‘best parts’ suitable for unification on a European level.
Data are available on 9 DSS’s from 7 countries (Denmark, France, Germany, Italy, Netherlands,
Sweden and UK).
The DSS’s were developed and disseminated for different crops, for different geographical conditions
and for differing objectives. Consequently, common traits and differing traits have been identified. A
common trait is that the DSS’s identify treatments best suited according to some criteria targeted for
farmers. A common shortcoming is lack of data supporting the specific decision algorithms and
calculation models that have been integrated in the DSS’s.
Considering differing traits, the following aspects were identified:
Economic evaluations
Environmental impact
Dose optimisation
O.24 - Rydahl, P., Berti, A., Munier-Jolain, N. - p. 1
ENDURE International Conference 2008
Diversifying crop protection, 12-15 October 2008
La Grande-Motte, France - Oral presentations
Weather effects
Optimization of spray technique
Herbicide resistance
Support for weed identification
An evolution trend has been that DSS’s have developed from considering only a few aspects of weed
control, e.g. bio-economic evaluation of weed control options, spray/no spray approaches, to DSS’s
that often include decision algorithms and calculation models that integrate more aspects, e.g.
optimum dose rates, weather conditions, environmental issues, implementation of treatments and the
emerging problem of herbicide resistance development. Some DSS’s include only a few crops and
weed species, while other DSS’s are fully functional for major crops and weeds on national/regional
scales. Some DSS’s have demonstrated impact in terms of reduced environmental impact or
increased economic net return for farmers.
Considering communication with end users, most DSS’s do not allow end users to interact with
decision algorithms and model parameters. Consequently, the scientific basis of recommendations
delivered by the DSS’s are rarely transparent to the end users. Some DSS’s have already been
implemented in different countries, but only 3% or less of the farmers in different countries are using
the systems.
Identification of ‘best parts’ suitable for unification on a European level
On the pan-European workshop in Flakkebjerg in March 2008, a set of ‘building blocks’ representing
’best parts’ of existing DSS’s, were identified. Building blocks were identified in the following domains:
Quantification of the need for control:
o Weed density equivalents
o Crop rotation aspects
o Integration of different aspects
Efficacy of herbicides:
o Cross tables
o Dose/response functions/Additive Dose Model
o Site-specific evaluations
Environmental impact of herbicides:
o Risk factors
o Treatment Frequency Index (TFI)
Climatic conditions:
o Long term conditions
o Short term conditions
Suggestions for ’next moves’
Having identified building blocks suitable for unification on a European level, specific characteristics of
building blocks should be identified too. Different DSS concepts that consist of different building blocks
should be developed, adjusted and validated for national/regional conditions. Initially, priority should
be given to a limited number of crops, nations/regions and building blocks. Special considerations
should be given to needs for decision support among farmers and advisors.
If such concepts demonstrate suitable robustness in the production line and some potentials, e.g. in
one or more of the following domains:
Justification of the use of herbicides
Reduction in the dependency on herbicides
Reduction of the use of herbicides
Reduction of environmental impact of herbicides
Co-ordinated efforts could be made across the European level to produce and exchange specific data
that support decision algorithms and calculation models in the selected DSS concepts.
O.24 - Rydahl, P., Berti, A., Munier-Jolain, N. - p. 2
ENDURE International Conference 2008
Diversifying crop protection, 12-15 October 2008
La Grande-Motte, France - Oral presentations
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... In the efficacy-based category, usage of herbicides is predicted by the large datasets with herbicide performance on the different types of weeds and crops, while the population-based category focuses on yield loss and soil characteristic changes. Most of the developed weed management decision support systems have severe limitations to the spatial variation of weed population [43][44][45]. DSS can significantly impact improving weed management strategies and strong communication between researcher, producers, and farmers as agricultural decision-makers [46]. Although weed management decision support systems are designed to simulate the stocks and flows between agricultural systems, they need to be controlled in order to collect the required data to run the models; farmers have more tendency toward the usage of low-cost herbicides [47,48]. ...
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Testing of Danish Decision Support System in Protection of winter wheat in Poland during 2001-2003
  • Jh Czembor
  • Horoszkiewicz
  • J Janka
  • Nierobca
Czembor JH, Horoszkiewicz-Janka J, Nierobca A (2003). Testing of Danish Decision Support System in Protection of winter wheat in Poland during 2001-2003. Wolffhechel, H. Proceedings of the Crop Protection Conference for The Baltic Sea Region, 28th-29th April 2003. IOR Congress Centre, Poznan, Poland, 166-174
Experience with 'Plant Protection Online' for weed control in Lithuania. Wolffhechel, H. Proceedings of the Crop Protection Conference for The Baltic Sea Region
  • A Auskalnis
Auskalnis A (2003) Experience with 'Plant Protection Online' for weed control in Lithuania. Wolffhechel, H. Proceedings of the Crop Protection Conference for The Baltic Sea Region, 28th-29th April 2003. IOR Congress Centre, Poznan, Poland, 166-174. 2003. Danish Institute of Agricultural Sciences (DIAS). DIAS Report, Plant Production no. 96.