Timing of Grape Downy Mildew Onset in Bordeaux Vineyards

Image Recognition of Grape Downy Mildew and Grape Powdery Mildew Based on Support Vector Machine

In order to realize automatic disease diagnosis and provide related information for disease prediction and control timely and accurately, the identification and diagnosis of grape downy mildew and grape powdery mildew was conducted based on image recognition technologies. The method based on K_means clustering algorithm was used to implement unsupervised segmentation of the disease images. Fift...

Early detection of downy mildew in vineyards based on hyperspectral imaging

A. Picon, S. Rodriguez-Vaamonde and A. M. Díez-Navajas TECNALIA. Computer Vision Area, ICT Division European Software Institute. Parque Tecnológico de Bizkaia Ibaizabal Bidea, Edificio 202 E-48170 Zamudio Bizkaia (Spain) E-mail: [email protected], [email protected] NEIKER-Tecnalia. Departamento de Producción y Protección Vegetal. Apdo. 46, 01080 Vitoria-Gasteiz. E-mail: adie...

Grape Detection in Vineyards

Characterization of a TIR-NBS-LRR gene associated with downy mildew resistance in grape.

Grapevine downy mildew, caused by Plasmopara viticola, is a devastating disease that results in considerable economic losses as well as environmental damage through the repeated application of fungicides. The nucleotide-binding site leucine-rich repeat gene family functions in plant immunoactivity against various pathogens and pests. In this study, the 5' and 3' ends of the resistance gene homo...

Simulation of Grape Downy Mildew Development Across Geographic Areas Based on Mesoscale Weather Data Using Supercomputer

Weather data for disease forecasts are usually derived from automated weather stations (AWS) that may be dispersed across a region in an irregular pattern. We have developed an alternative method to simulate local scale, high-resolution weather and plant disease in a grid pattern. The system incorporates a simplified mesoscale boundary layer model, LAWSS, for estimating local conditions such as...