From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
Abstract
The severity of plant diseases, traditionally the proportion of the plant tissue exhibiting symptoms, is a key quantitative variable to know for many diseases and is prone to error. Good quality disease severity data should be accurate (close to the true value). Earliest quantification of disease severity was by visual estimates. Sensor-based image analysis including visible spectrum and hyperspectral and multispectral sensors are established...
Paper Details
Title
From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy
Published Date
Apr 26, 2020
Journal
Volume
2
Issue
1
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