To reduce reliance on fungicides for disease control on oilseed rape, Decision Support Systems (DSS) are being developed to guide fungicide applications as part of an integrated pest and disease management strategy. This paper reports the development and uptake of an empirical model for prediction of risk of severe light leaf spot using disease survey and meteorological data to produce autumn regional and crop-specific prediction of epidemic risk for the following spring. Following initial delivery of the light leaf spot forecast via the farming press, an Internet-based interactive website was developed to provide crop-specific predictions. Uptake by growers, advisors and other members of the arable industry has been encouraging. There is e...
A Decision Support System (DSS) for the management of potato and tomato late blight is being develop...
Dark leaf and pod spot(Alternaria brassicae) can be a serious disease of oilseed rape (Davies, 1986)...
The application of remote sensing techniques and prediction models for soybean rust (SBR) monitoring...
To reduce reliance on fungicides for disease control on oilseed rape, Decision Support Systems (DSS)...
Data from surveys of winter oilseed rape crops in England and Wales in growing seasons with harvests...
Pyrenopeziza brassicae, cause of light leaf spot of oilseed rape, has a complex polycyclic life cycl...
A web-based decision support system (DSS) for potato and tomato late blight management has been deve...
Pests and diseases in winter oilseed rape cause serious loss of yield and quality. Losses, predomina...
Forecasts of the severity of light leaf spot of winter oilseed rape are needed to help growers with ...
Forecasts of the severity of light leaf spot of winter oilseed rape are needed to help growers with ...
Sclerotinia stem rot in oilseed rape occurs every year in the UK but incidence varies by region and ...
ABSTRACT: Disease-warning systems are decision support tools designed to help growers determine when...
Not AvailableAlternaria blight is the most widespread and destructive disease of oilseed Brassica ac...
Pests and particularly diseases cause serious loss of yield and quality in winter oilseed rape estim...
Considerable scope exists for the reduction of the primary and secondary costs associated with crop ...
A Decision Support System (DSS) for the management of potato and tomato late blight is being develop...
Dark leaf and pod spot(Alternaria brassicae) can be a serious disease of oilseed rape (Davies, 1986)...
The application of remote sensing techniques and prediction models for soybean rust (SBR) monitoring...
To reduce reliance on fungicides for disease control on oilseed rape, Decision Support Systems (DSS)...
Data from surveys of winter oilseed rape crops in England and Wales in growing seasons with harvests...
Pyrenopeziza brassicae, cause of light leaf spot of oilseed rape, has a complex polycyclic life cycl...
A web-based decision support system (DSS) for potato and tomato late blight management has been deve...
Pests and diseases in winter oilseed rape cause serious loss of yield and quality. Losses, predomina...
Forecasts of the severity of light leaf spot of winter oilseed rape are needed to help growers with ...
Forecasts of the severity of light leaf spot of winter oilseed rape are needed to help growers with ...
Sclerotinia stem rot in oilseed rape occurs every year in the UK but incidence varies by region and ...
ABSTRACT: Disease-warning systems are decision support tools designed to help growers determine when...
Not AvailableAlternaria blight is the most widespread and destructive disease of oilseed Brassica ac...
Pests and particularly diseases cause serious loss of yield and quality in winter oilseed rape estim...
Considerable scope exists for the reduction of the primary and secondary costs associated with crop ...
A Decision Support System (DSS) for the management of potato and tomato late blight is being develop...
Dark leaf and pod spot(Alternaria brassicae) can be a serious disease of oilseed rape (Davies, 1986)...
The application of remote sensing techniques and prediction models for soybean rust (SBR) monitoring...