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Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stages

2022-06-17

Abstract excerpt

<h4>Background: </h4> Rice blast, which is prevalent worldwide, represents a serious threat to harvested crop yield and quality. Hyperspectral imaging, an emerging technology used in plant disease research, is a stable, repeatable method for disease grading. Current methods for assessing disease severity have mostly focused on individual growth stages rather than multiple ones. In this study, we calculated the spe...

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Literature Corpus work
769a4ff7-7c24-54c8-87c9-91b999a12dbc
DOI
10.21203/rs.3.rs-1756611/v1
Open publication

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Hyperspectral imaging-based classification of rice leaf blast severity over multiple growth stagesDOI 10.21203/rs.3.rs-1756611/v1
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