Decision support systems used in the Netherlands for reduction in the input of active substances in agriculture

Bouma, E.

doi:10.1111/j.1365-2338.2003.00680.x

Cited by 8 publications

(5 citation statements)

References 13 publications

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“…This value is comparable with the finding of Hardwick et al (2001) that winter wheat crops in England and Wales received on average 2·3 applications per crop over three years (1996–98). Bouma (2003) investigated the contribution of DSSs towards the reduction of fungicidal active ingredient to cereal crops in the Netherlands and also observed that CPO advised the lowest input. Similarly, Jørgensen & Hagelskjaer (2003) compared the performance of four DSSs (CPO, DESSAC, proPLANT Expert and Septoria Timer) to schedule fungicide applications to winter wheat crops in Denmark and observed that CPO scheduled the lowest input of fungicides.…”

Section: Discussionmentioning

confidence: 99%

Field testing of six decision support systems for scheduling fungicide applications to control Mycosphaerella graminicola on winter wheat crops in Ireland

Burke¹,

Dunne²

2008

J. Agric. Sci.

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SU MMARYField experiments were conducted between 2003 and 2005 to compare the efficacy of five interactive decision support systems (DSSs) (DESSAC, PLANT-Plus, proPLANT Expert, CerDis and Crop Protection Online (CPO)) and an in-crop system (Septoria Timer) to schedule fungicide applications to winter wheat cultivars (Madrigal and Claire) for the control of Mycosphaerella graminicola. The effectiveness of the crop management programmes proposed by the DSSs was compared with that of standard 2-spray programmes applied at GS 37 and 65 and 3-spray programmes applied at GS 32, 39 and 65. Compared with the 3-spray programme, the programme scheduled by CPO advised application of the least active ingredient to the six trials over three seasons, while together with the Septoria Timer it also advised the least number of applications (average 2 . 3 per crop). The PLANTPlus system advised the highest input of active ingredient and the highest number of applications (average of 4 . 0 per crop). The interactive DSSs responded to cultivar susceptibility to M. graminicola by scheduling more applications to the susceptible cv. Madrigal compared with the moderately resistant cv. Claire. Whether control of M. graminicola is expressed as reduction in the proportion of necrosis per leaf or a reduction of the area under the disease progress curve, the 3-spray programme provided the most effective control. The Septoria Timer provided a similar level of control. For the remaining programmes, the effectiveness of control varied with observation date, leaf and cultivar. The 2-spray programme provided the least successful control. Fungicide application significantly increased grain yield each season. The fungicide scheduling programme that provided the highest grain yield varied by cultivar and season. Grain specific weight was enhanced by fungicide application compared with the untreated control, except for cv. Claire in 2004. The fungicide scheduling programme that provided the highest specific weight varied with cultivar and season. The highest average margin over fungicide cost was provided by the Septoria Timer.

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Section: Discussionmentioning

confidence: 99%

Field testing of six decision support systems for scheduling fungicide applications to control Mycosphaerella graminicola on winter wheat crops in Ireland

Burke¹,

Dunne²

2008

J. Agric. Sci.

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“…This started with EPIPRE and then weatherrelated potato blight warning systems were developed such as Prophy and Plant-Plus and GEWIS which predicted the effectiveness of application times. The use of these systems resulted in more sustainable crop protection (Bouma 2004).…”

Section: Instances Of Web-based Decision Support For Integrated Pest mentioning

confidence: 99%

Modular structure of web-based decision support systems for integrated pest management. A review

Damos

2015

Agron. Sustain. Dev.

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Sustainable pest management implies less pesticide use and replacement by safe control alternatives. This requires decision support for rational pest management. However, in practice, successful decision making is dependent upon the availability of integrated, high-quality information. Computer-aided forecasting and related decision support systems make pest control more sustainable by avoiding unwanted consequences of pesticide applications. Here, I review integrated pest management for web-based decision support systems. The major points are the following: (1) Principles of integrated pest management are compatible with sustainable agriculture. (2) Pest models serve as basis of decision making because they offer means to predict the exact time of pest phenological development and initiate management actions. Most models are climate driven. (3) New hardware technology has permitted the registration of automatically recorded climatic data. This data can be combined with pest models through logical operations and forecasting algorithms to develop a software of pest management. (4) Dynamic web interfaces can serve as decision support systems providing the user with real-time pest warnings and recommendations for management actions. (5) Ontology web programing and semantic knowledge representations provide a way to classify and describe agrodata to facilitate information sharing and data exploitation over distributed systems. (6) Most available pest management data is published on static web pages and, thus, cannot be classified as decision support systems. Some web-based decision support systems provide user-interactive content and real-time pest forecasts and management support.

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“…In the 1990s many weather‐based DSSs were developed, e.g. systems for the control of onion leaf spots; Mycos, a model for the control of ring spot in cabbage; models for the control of blight fire in flower bulbs; models for the control of scab in apples and pears (DLV‐Welte en RIMpro); a model for Cercospora leaf spot in sugar beet and a system for the control of fungal diseases in winter wheat and barley (CerDis) (Bouma, 2003). More recent developments include a model for control of Botrytis in strawberry, downy mildew in lettuce, and a system for the guided control of nematodes (Nemadicide).…”

Section: Important National Developments Of Decision Support Systemsmentioning

confidence: 99%

“…More recent developments include a model for control of Botrytis in strawberry, downy mildew in lettuce, and a system for the guided control of nematodes (Nemadicide). In addition, a decision support system was developed to predict and evaluate the effect of meteorological conditions on the effectiveness of the application time of pesticides (GEWIS) (Bouma, 2003).…”

Section: Important National Developments Of Decision Support Systemsmentioning

confidence: 99%

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Computer aids for plant protection, historical perspective and future developments*

Bouma¹

2007

EPPO Bulletin

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Initiatives such as Videotext and forecasting models resulted in a relatively fast introduction of computer technology on to farms at the end of the 1980s. In several countries there were developments to create models for supervised control and data exchange became digital. Most models were developed for diseases that could expand very rapidly, or diseases that should be controlled regularly. In the 1990s, development of weather‐related Decision Support Systems (DSSs) began. It is important to use the optimal way to disseminate information to the target group; which can differ between or even within countries. The use of DSSs results in a lower risk of crop damage by diseases and pests, and a lower input of active substances, from the use of adjusted dosages. Future developments may include the possibility of implementing a number of DSS‐models into a Geographical Information System, which will support precision agriculture by providing adjusted spraying advice based on plot‐specific characteristics. The success of DSSs is despite its development occurring independently in a number of countries. The speed of development of these systems would have been substantially faster had there been real cooperation between countries or groups of researchers. In order to withstand funding reductions, it is necessary for the development of new DSSs that collaboration between researchers and research groups internationally increases significantly in the near future.

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Decision support systems used in the Netherlands for reduction in the input of active substances in agriculture

Cited by 8 publications

References 13 publications

Field testing of six decision support systems for scheduling fungicide applications to control Mycosphaerella graminicola on winter wheat crops in Ireland

Field testing of six decision support systems for scheduling fungicide applications to control Mycosphaerella graminicola on winter wheat crops in Ireland

Modular structure of web-based decision support systems for integrated pest management. A review

Computer aids for plant protection, historical perspective and future developments*

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