Aerial scanning can help protect food crops against devastating disease

Aerial scanning can help protect food crops against devastating disease
Fig. 1: High-resolution airborne hyperspectral image acquired over one of the Apulia Xylella fastidiosa (Xf)-infected areas. Similar datasets were collected from all Xf and Verticillium dahliae (Vd) outbreaks used for the analyses carried out in this study. a mosaic covers 1450 ha at 40 cm resolution collected with 260 spectral bands. b individual trees could be identified on the images and properly located during field work. Tree-crown segmentation algorithms (c) were used for the selection of pure vegetation pixels. Extracted reflectance (d) and radiance spectra (e) were used to calculate spectral indices, plant traits by radiative transfer model inversion, and solar-induced fluorescence (SIF) used as inputs for the disease-detection models. Credit: DOI: 10.1038/s41467-021-26335-3

Virulent diseases which devastate food crops like coffee, almond, citrus and grapevines with serious global economic and environmental consequences, could be controlled by large-scale aerial scanning, says new collaborative research involving Swansea University.

Each year, causing disease result in an estimated 16% production loss globally—a level that has not significantly reduced over the last 40 years despite increased pesticide use. However, the Xylella fastidiosa (Xf) pathogen is arguably the greatest threat to crops, causing dieback, browning and loss of leaves, reduced fruit size and death and is a threat to at least 550 species worldwide.

The Xf pathogen seriously disrupts agriculture production—in the olive sector alone it has led to losses of up €5.2 billion per year. Outside America and Europe, the spread of this pathogen in Asia and Israel has intensified to contain this global Xf epidemic.

Swansea University researchers from Department of Geography were part of an international team of experts from the University of Salford, the University of Melbourne (UoM), the Spanish National Research Council (CSIC), and the European Commission that scanned one million infected and healthy trees in seven regions across Europe. Using advanced imaging technology, known as hyperspectral imagery, and they found it could detect infectious plant diseases caused by the Xf pathogen before symptoms became visible.

The research published in Nature Communications led by Professor Pablo Zarco-Tejada (UoM and CSIC), reveals that new aerial large-scale plant crop scanning methods can achieve up to 92% accuracy in detecting Xf and could be key to successfully to containing or even eradicating it.

The Swansea University team mainly focussed on the development and setting up of the radiative transfer models used to collect the plant traits retrieval, and also participated in the field work and airborne data collection.

Swansea University researcher Alberto Hornero said: "This new research is a step forward in large scale hyperspectral screening for Xf detection. We can now pinpoint with great accuracy the crops being affected by the Xf pathogen rather than by other environmental causes before any symptoms appear. In the future this could allow for more timely containment and elimination action to be taken to protect which can help reduce the impact that Xf has on the environment and economy worldwide."

More information: P. J. Zarco-Tejada et al, Divergent abiotic spectral pathways unravel pathogen stress signals across species, Nature Communications (2021). DOI: 10.1038/s41467-021-26335-3

Journal information: Nature Communications

Provided by Swansea University

Citation: Aerial scanning can help protect food crops against devastating disease (2021, October 25) retrieved 1 February 2023 from
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