EURASIP Journal on Advances in Signal Processing

Table 6 Class-wise precision, recall, specificity, and f-measure of the proposed model

From: PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment

Class	Precision (%)	Recall (%)	Specificity (%)	F-measure (%)
Canker	97.5	83.3	99.6	89.8
Scab	89	92.7	96	90.8
Melanose	66.7	80	33.3	66.9
Greening	30	60	97.7	40
Blackspot	80	88.9	97.3	84.2
Healthy	100	94.4	100	97

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