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Digital plant pathology: a foundation and guide to modern agriculture

Over the last 20 years, researchers in the field of digital plant pathology have chased the goal to implement sensors, machine learning and new technologies into knowledge-based methods for plant phenotyping and plant protection. However, the …

Estimating food resource availability in arid environments with Sentinel 2 satellite imagery

In arid environments, plant primary productivity is generally low and highly variable both spatially and temporally. Resources are not evenly distributed in space and time (e.g., soil nutrients, water), and depend on global (El Niño/ Southern …

Breaking down barriers between remote sensing and plant pathology

Effective collaboration for generating solutions to complex theoretical or applied problems depends on an individual’s willingness to interact and share knowledge. These traits are especially important when problems are unlikely to be solved within …

Multispectral, Aerial Disease Detection for Myrtle Rust (*Austropuccinia psidii*) on a Lemon Myrtle Plantation

Disease management in agriculture often assumes that pathogens are spread homogeneously across crops. In practice, pathogens can manifest in patches. Currently, disease detection is predominantly carried out by human assessors, which can be slow and …

Detecting myrtle rust (*Austropuccinia psidii*) on lemon myrtle trees using spectral signatures and machine learning

Hundreds of species in one of Australia's dominant plant families, the Myrtaceae, are at risk from the invasive pathogenic fungus Austropuccinia psidii. Since its arrival in Australia in 2010, native plant communities have been severely affected, …

Developing a spectral disease index for myrtle rust (*Austropuccinia psidii*)

Since 2010 Australian ecosystems and managed landscapes have been severely threatened by the invasive fungal pathogen Austropuccinia psidii. Detecting and monitoring disease outbreaks is currently only possible by human assessors, which is slow and …

The Effect of Epidermal Structures on Leaf Spectral Signatures of Ice Plants (Aizoaceae)

Epidermal structures (ES) of leaves are known to affect the functional properties of plants and spectral responses. Spectral studies focused mostly on the effect of hairs or wax layers only. We studied a wider range of different ES and their impact …

Simple preparation of plant epidermal tissue for laser microdissection and downstream quantitative proteome and carbohydrate analysis

The outwardly directed cell wall and associated plasma membrane of epidermal cells represent the first layers of plant defense against intruding pathogens. Cell wall modifications and the formation of defense structures at sites of attempted pathogen …