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Fig. 6 | Phytopathology Research

Fig. 6

From: From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy

Fig. 6

RGB images and false-color classification of diseased pixels of wheat leaves with symptoms of powdery mildew caused by Blumera graminis f.sp. tritici. Hyperspectral images were acquired using a Specim V10 camera system, and classification was performed using Support Vector Machines (SVM). Percentage of diseased leaf area assessed by SVM classification is indicated on the right; classification accuracy ranged from 90% to 95%

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Phytopathology Research

ISSN: 2524-4167