Corn360: a method for quantification of corn kernels

Table 3 Total and segmented kernel count of mixed textured yellow corn ear sample 3 as shown in Fig. 6 used to train the classifier of the Food Color Inspector and total and segmented kernel count of mixed textured yellow corn sample 4 where the classifier was executed

Kernel	Sample	Kernel count		%Accuracy	Counting time
Kernel	Sample	Manual	AI	%Accuracy	Manual	AI^a
Total	3	341	307	90	2 min 52 s	4 min
Solid opaque (sticky)	3	65	98	49.2	3 min 50 s	2 min
Shiny opaque (starch)	3	175	101	57.7	3 min 54 s	1 min 25 s
Shriveled translucent (sweet)	3	85	64	75.3	51 s	53 s
Total	4	318	311	97.8	2 min 41 s	2 min 18 s
Solid opaque (sticky)	4	39	75	7.7	2 min	2 min 17 s
Shiny opaque (starch)	4	170	175	97.1	2 min 43 s	1 min 2 s
Shriveled translucent (sweet)	4	87	73	83.9	1 min 6 s	1 min 28 s

^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

ISSN: 1746-4811