Skip to main content

Table 2 Total and segmented kernel count of mixed colored corn ear sample 1 as shown in Fig. 4 used to train the classifier of the Food Color Inspector and total and segmented kernel count of mixed colored corn sample 2 where the classifier was executed

From: Corn360: a method for quantification of corn kernels

Kernel

Sample

Kernel count

%Accuracy

Counting time

Manual

AI

Manual

AIa

Total

1

381

285

74.8

3 min 21 s

5 min 51 s

Purple

1

238

175

73.5

3 min

2 min

White

1

103

83

80.6

1 min 41 s

3 min

Yellow

1

29

23

79.3

55 s

1 min 50 s

Total

2

301

310

97

2 min 24 s

2 min 20 s

Purple

2

142

146

97.2

1 min 27 s

2 min 33 s

White

2

151

141

93.4

1 min 33 s

48 s

  1. aThe time it takes to train and run the Food Color Inspector, image adjustment, and Analyze Particle, not including the time to troubleshoot the best image adjustment steps, which can take up to 10 min