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Table 6 Grain counting accuracy of the deep learning model

From: Image analysis-based recognition and quantification of grain number per panicle in rice

Image acquisition device

Panicle shape

Miss detection rate (%)

False detection rate (%)

Accuracy (%)

Scanner

Shape B

0.79

0

99.21

Shape C

0.62

0

99.38

Camera

Shape B

1.40

0

98.60

Shape C

1.02

0

98.98

  1. The results were based on 401 images in validation set