A novel nondestructive detection approach for seed cotton lint percentage using deep learning

Table 5 Lint percentage calculated by the MobileNetV2 model

Variety	Group	Total weight /g	Cotton seed number	Lint percentage /%	Variety	Group	Total weight /g	Cotton seed number	Lint percentage /%
GB819	1	17.9	119	40.08	X19075	21	15.0	79	47.04
GB819	2	13.4	80	46.19	X19075	22	23.5	123	47.36
GB819	3	12.6	81	42.06	X19075	23	18.8	104	44.34
GB819	4	15.1	96	42.70	X19075	24	18.5	102	44.55
GB819	5	13.8	90	41.22	X19075	25	15.3	83	45.44
GB819	6	14.6	93	42.59	X19075	26	22.1	120	45.40
GB819	7	17.6	115	41.11	X19075	27	12.9	68	47.10
GB819	8	16.8	103	43.05	X19075	28	15.9	85	46.24
GB819	9	25.8	161	43.76	X19075	29	16.8	91	45.53
GB819	10	13.9	88	42.94	X19075	30	15.1	82	45.39
GB819	11	17.7	112	42.97	X19075	31	13.4	76	42.96
GB819	12	15.3	114	42.85	X19075	32	24.7	135	45.04
GB819	13	15.3	93	45.22	X19075	33	22.0	119	45.60
GB819	14	11.8	72	45.00	X19075	34	17.2	95	44.46
GB819	15	12.8	83	41.56	X19075	35	19.5	106	45.33
GB819	16	15.6	103	40.49	X19075	36	22.8	120	47.07
GB819	17	21.3	136	42.45	X19075	37	22.2	121	45.19
GB819	18	19.0	120	43.08	X19075	38	31.1	165	46.65
GB819	19	13.8	92	39.91	X19075	39	28.2	150	47.57
GB819	20	11.9	75	43.20	X19075	40	18.0	98	45.25

ISSN: 2523-3254