User interfaces and system architecture of a web‐based decision support system for integrated pest management in cereals*

Rydahl, Per; Hagelskjær, L.; Pedersen, Line Hjøllund; Mission, Bøjer, Ole,

doi:10.1111/j.1365-2338.2003.00684.x

Cited by 12 publications

(11 citation statements)

References 3 publications

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“…The IT structures behind CPO have been described elsewhere (Rydahl et al ., 2003). With a strong focus on factors with a potential for reducing herbicide use, an iterative working process striving for simplicity and pragmatism has been used for the construction of CPO.…”

Section: Weed Module Functionmentioning

confidence: 99%

“…CPO will automatically include adjuvant if necessary for single herbicides and for herbicide mixtures. Also, alternative product names of adjuvant will be shown if relevant (Rydahl et al ., 2003).…”

Section: Model Stepmentioning

confidence: 99%

“…A precise timing of these elements is decisive in order to achieve a successful weed control programme in beet. A module which can assist identification of weeds has also been implemented (Rydahl et al ., 2003).…”

Section: New Usesmentioning

confidence: 99%

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A web‐based decision support system for integrated management of weeds in cereals and sugarbeet*

Rydahl¹

2003

EPPO Bulletin

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A Danish decision support system (DSS) named Crop Protection Online (CPO) for integrated management of weeds in cereals and beet has been developed during the past 20 years. CPO is based on a model that runs in three main steps: model step 1 quantifies the level of weed control needed on a field level, model step 2 selects candidate herbicides and calculates dose rates to meet the need, and model step 3 calculates tank mixtures of herbicides with two to four mixing components, if advantageous. CPO has been developed in cereals and beet, and various prototype versions have been validated in 1679 field tests. CPO secured yield potentials, and the level of residual weeds was not increased when compared with reference treatments. The potential of CPO to reduce herbicide use has been observed in all model crops, but the potential was greatest in cereals. In spring cereal field trials highly infested with weeds, the present version of CPO suggested 35% of one full herbicide dose on average and in winter cereals CPO suggested 44% on average of one full dose. The results from validation trials demonstrate that CPO is capable of suggesting robust treatment options with a low input of herbicides. The system architecture of CPO has been exported to Poland and the Baltic countries, and the system is expected to be suitable for export to other countries too.

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Section: Weed Module Functionmentioning

confidence: 99%

Section: Model Stepmentioning

confidence: 99%

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A web‐based decision support system for integrated management of weeds in cereals and sugarbeet*

Rydahl¹

2003

EPPO Bulletin

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“…The time of migration is important regarding input to population dynamic models and damage threshold models forecasting the likelihood of exceeding economic damage thresholds for the relevant aphid species and crop ( Hansen, 2000( Hansen, , 2002( Hansen, , , 2003. In addition, the models could be used in decision support systems for the chemical control of aphids in winter wheat and spring barley ( Rydahl et al, 2003 ).…”

Section: Introductionmentioning

confidence: 99%

Models for spring migration of two aphid species Sitobion avenae (F.) and Rhopalosiphum padi (L.) infesting cereals in areas where they are entirely holocyclic

Hansen¹

2006

Agri and Forest Entomology

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1 Cereals can be attacked severely by the grain aphid, Sitobion avenae (F.), and the bird cherry-oat aphid, Rhopalosiphum padi (L.). The time of migration from winter hosts in spring is important regarding input to decision support systems concerning insecticide treatment of aphids. 2 The present study aimed to construct two separate migration models, which could be used immediately for advisors and farmers but also be part of a decision support system for the chemical control of aphids in winter wheat and spring barley. 3 Winter wheat ( Triticum sativum Lam.) and spring barley ( Hordeum vulgare L.) fields were monitored from 1991 -2005 for the occurrence of grain aphids and bird cherry-oat aphids, and the data were used to construct migration models. 4 The models were constructed based on all 9 years data and subsequently validated by using all 9 years data, excluding 1 year at a time. 5 The migration model for the grain aphid producing the best forecast was obtained with migration date M (number of days from 1 June), degree-days ( DD ) of April ( T a ) and DD of May ( T m ), with the model being M = 265.0 -10.2 log e ( T a ) -35.1 log e ( T m ). 6 The migration model for the bird cherry-oat aphid producing the best forecast was obtained with migration date M (number of days from 15 May), DD of April ( T a ) and DD from 1 -15 May ( T m1 ), with the model being M = 294.4 -34.7 log e ( T a ) -22.5 log e ( T m1 ). 7 The models only worked well in areas where the grain aphid and the bird cherryoat aphid are entirely holocyclic.

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“…To run the models, the frequency of infected plants is counted and, for splash‐borne diseases ( Mycospherella graminicola , Pyrenophora teres and Rhynchosporium secalis ) and aphids ( Sitobion avenae , Rhopalosiphum padi and Metopolophium dirhodum ), some weather data is needed. In 2002, the system was reintroduced as a web‐based DSS (Rydahl et al ., 2003) and is now called Crop Protection Online (CPO). This paper focuses on the models for treatment, choice of pesticide, dosage calculation and validation trials in winter wheat and spring barley.…”

Section: Introductionmentioning

confidence: 99%

A web‐based decision support system for integrated management of cereal pests

Hagelskjær¹,

Jørgensen²

2003

EPPO Bulletin

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The models in the Danish decision support system (DSS) PC-Plant Protection (PC-P) have been developed during the past 15 years of research on cereal pests in Denmark. Recently, the system was reintroduced as a web-based DSS and is now called Crop Protection Online (CPO). CPO includes models for powdery mildew, rusts, septoria, rhynchosporium, net blotch, eyespot, aphids and leaf beetle larvae and is based on empirical data on: (i) the specific effect of each plant protection product; (ii) control thresholds; (iii) importance of pests according to growth stage; (iv) variation in susceptibility to pathogens among cultivars; and (v) influence of weather on the development of pests. The system has been validated in numerous trials and has proved to give good control of pathogens at low product inputs. The margin of product use has been similar or better compared with standard treatments included in the field trials. In trials where CPO was compared with other DSS, CPO resulted in the lowest input of fungicides, measured as TFI (TFI expresses the ratio applied doses/standard doses throughout a growing season) and the highest margin over product use. Differences in the prices of fungicides and in the grain price may change that. The system is under development in Poland and the Baltic countries, and is also ready for export to other countries.

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User interfaces and system architecture of a web‐based decision support system for integrated pest management in cereals*

Cited by 12 publications

References 3 publications

A web‐based decision support system for integrated management of weeds in cereals and sugarbeet*

A web‐based decision support system for integrated management of weeds in cereals and sugarbeet*

Models for spring migration of two aphid species Sitobion avenae (F.) and Rhopalosiphum padi (L.) infesting cereals in areas where they are entirely holocyclic

A web‐based decision support system for integrated management of cereal pests

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