Abstract:
:Plant diseases threaten global food security and biodiversity. Rapid dispersal of pathogens particularly via human means has accelerated in recent years. Timely detection of plant pathogens is essential to limit their spread. At the same time, international regulations must keep abreast of advances in plant disease diagnostics. In this review we describe recent progress in developing modern plant disease diagnostics based on detection of pathogen components, high-throughput image analysis, remote sensing, and machine learning. We discuss how different diagnostic approaches can be integrated in detection frameworks that can work at different scales and account for sampling biases. Lastly, we briefly discuss the requirements to apply these advances under regulatory settings to improve biosecurity measures globally.
journal_name
Curr Opin Plant Bioljournal_title
Current opinion in plant biologyauthors
Hu Y,Wilson S,Schwessinger B,Rathjen JPdoi
10.1016/j.pbi.2020.04.011subject
Has Abstractpub_date
2020-08-01 00:00:00pages
127-134eissn
1369-5266issn
1879-0356pii
S1369-5266(20)30051-0journal_volume
56pub_type
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journal_title:Current opinion in plant biology
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journal_title:Current opinion in plant biology
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