Location: Crop Diseases, Pests and Genetics Research
Project Number: 2034-22000-014-020-N
Project Type: Non-Funded Cooperative Agreement
Start Date: Dec 1, 2023
End Date: Dec 1, 2024
Objective:
The overall goal of this project is to determine the remote sensing methods that most efficiently detect the physiological and biochemical changes caused by Xf infection at early stages of the infection process. The specific objectives are:
1. Describe the early-stage plant phenotype of asymptomatic Xf infections.
2. Develop of a global model for Xf detection and monitoring using remote sensing.
3. Organize a Workshop on Remote sensing approaches for stress detection in crops.
Approach:
1. Early-stage plant phenotyping of asymptomatic Xf infections. Solar-induced chlorophyll fluorescence and photosynthetic traits will be quantified by hyperspectral and thermal imaging using proximal sensors at pre-visual stages of disease progression.
Objective 2. Development of a global model for Xf detection and monitoring using remote sensing. Available algorithms developed for almond and olive trees in Europe will be expanded to the same crops in Israel and United States to account for wider range of environmental conditions and cultivars. Almond trees in the United States will be tested to assess detection accuracies with remote sensing. Existing Xf-induced spectral trait alterations will be evaluated using remote sensing to derive a global model for Xf detection.
Objective 3. A workshop on remote sensing approaches for stress detection in crops will be coordinated by University of Melbourne with participation of all project partners.
