Article

Evaluating the Suitability of Hyper- and Multispectral Imaging to Detect Foliar Symptoms of the Grapevine Trunk Disease Esca in Vineyards

2020-04-27

Abstract excerpt

<title>Abstract</title> <bold>Background:</bold> Grapevine trunk diseases (GTDs) such as Esca are among the most devastating threats to viticulture. Due to the lack of efficient preventive and curative treatments, Esca causes severe economic losses worldwide. Since symptoms do not develop consecutively, the true incidence of the disease in a vineyard is difficult to assess. Therefore, an annual monitoring is r...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 5306a7f1-4db9-5269-9f2b-53d95a337cf9
DOI: 10.21203/rs.3.rs-25654/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Evaluating the Suitability of Hyper- and Multispectral Imaging to Detect Foliar Symptoms of the Grapevine Trunk Disease Esca in VineyardsDOI 10.21203/rs.3.rs-25654/v1Read

Evaluating early detection of grapevine trunk diseases from asymptomatic leaves based on hyperspectral imagerySemantic proximity Read

Assessment of the optimal spectral bands for designing a sensor for vineyard disease detection: the case of ‘Flavescence dorée’Semantic proximity Read

Beyond the foliage: Using non-destructive multimodal 3D imaging and AI to phenotype and diagnose trunk diseasesSemantic proximity Read

Scalable early detection of grapevine virus infection with airborne imaging spectroscopySemantic proximity Read

Artificial Intelligence Techniques in Grapevine Research: A Comparative Study with Extensive Review on Datasets, Diseases, and Techniques EvaluationSemantic proximity Read

Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivitySemantic proximity Read

Detection of grapevine leafroll disease based on 11-index imagery and ant colony clustering algorithmSemantic proximity Read

Assessing the capacity of high-resolution commercial satellite imagery for grapevine downy mildew detection and surveillance in New York stateSemantic proximity Read

Aiming at decision making in plant disease protection and phenotyping by the use of optical sensorsSemantic proximity Read

The Esca complex in German vineyards: does the training system influence occurrence of GLSD symptoms?Semantic proximity Read

Advanced Disease Monitoring and Severity Quantification for Greenhouse Management Using Multispectral ImagingSemantic proximity Read

Image-based Phenotyping and Disease Screening of Multiple Populations for resistance to Verticillium dahliae in cultivated strawberry Fragaria x ananassaSemantic proximity Read