基于机器视觉技术的玉米种子精选方法研究
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韩小伟, 周江明, 高英波, 田雪慧, 李明军, 郝延杰, 李伟, 李树兵, 刘树泽
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Research on Refined Selection Method for Maize Seeds Based on Machine Vision Technology
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Han Xiaowei, Zhou Jiangming, Gao Yingbo, Tian Xuehui, Li Mingjun, Hao Yanjie, Li Wei, Li Shubing, Liu Shuze
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表2 玉米种子R、A、S、B3指标筛选
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Table 2 Maize seed screening by R, A, S and B3 indicators
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精选指标 Selection indicator | 区间 Interval | 总数 Total | 发芽数 Number of germination | 未发芽数 Number of ungerminated | 发芽率 Germination rate (%) | 获选率 Selection rate (%) | 平均鲜重 Average fresh weight (g) | 简易活力指数 Simple vitality index | 原始对照Original control | - | 200 | 132 | 68 | 66.0 | 1.0 | 0.269 | 0.178 | R | 140≤R<150 | 9 | 5 | 4 | 55.6 | 3.8 | 0.025 | 0.014 | | 150≤R<160 | 27 | 16 | 11 | 59.3 | 12.1 | 0.058 | 0.034 | | 160≤R<170 | 60 | 36 | 24 | 60.0 | 27.3 | 0.132 | 0.079 | | 170≤R<180 | 56 | 38 | 18 | 67.9 | 28.8 | 0.342 | 0.232 | | 180≤R≤190 | 48 | 37 | 11 | 77.1 | 28.0 | 0.520 | 0.400 | | 170≤R≤190 (s) | 104 | 75 | 29 | 72.1 | 56.8 | 0.424 | 0.306 | A | A<0 | 13 | 8 | 5 | 61.5 | 6.1 | 0.143 | 0.088 | | 0≤A<5 | 22 | 8 | 14 | 36.4 | 6.1 | 0.016 | 0.006 | | 5≤A<10 | 51 | 32 | 19 | 62.7 | 24.2 | 0.032 | 0.020 | | 10≤A<15 | 65 | 43 | 22 | 66.2 | 32.6 | 0.357 | 0.236 | | 15≤A≤20 | 49 | 41 | 8 | 83.7 | 31.1 | 0.546 | 0.457 | | 10≤A≤20 (s) | 114 | 84 | 30 | 73.7 | 63.6 | 0.438 | 0.323 | S | 4≤S<8 | 13 | 7 | 6 | 53.8 | 5.3 | 0.024 | 0.013 | | 8≤S<12 | 44 | 22 | 22 | 50.0 | 16.7 | 0.036 | 0.018 | | 12≤S<16 | 51 | 34 | 17 | 66.7 | 25.8 | 0.176 | 0.117 | | 16≤S<20 | 65 | 46 | 19 | 70.8 | 34.8 | 0.436 | 0.309 | | 20≤S≤24 | 27 | 23 | 4 | 85.2 | 17.4 | 0.540 | 0.460 | | 16≤S≤24 (s) | 92 | 69 | 23 | 75.0 | 52.3 | 0.467 | 0.350 | B3 | 59≤B3<63 | 24 | 15 | 9 | 62.5 | 11.4 | 0.031 | 0.019 | | 63≤B3<67 | 36 | 21 | 15 | 58.3 | 15.9 | 0.032 | 0.019 | | 67≤B3<71 | 49 | 29 | 20 | 59.2 | 22.0 | 0.306 | 0.181 | | 71≤B3<75 | 42 | 30 | 12 | 71.4 | 22.7 | 0.364 | 0.260 | | 75≤B3≤79 | 49 | 37 | 12 | 75.5 | 28.0 | 0.441 | 0.333 | | 71≤B3≤79 (s) | 91 | 67 | 24 | 73.6 | 50.8 | 0.405 | 0.299 |
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