Counting Maize Kernels through Digital Image Analysis
Counting Maize Kernels through Digital Image Analysis
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DOI：
10.2135/cropsci2011.03.0147
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发表时间：
2011-11-01
期刊：
影响因子：
2.3
通讯作者：
Cirilo, Alfredo G.
中科院分区：
文献类型：
--
作者：
Severini, Alan D.;Borras, Lucas;Cirilo, Alfredo G.
由于粒数是粮食作物产量的主要组成部分，因此，田间试验中通常测量单株或单位面积粒数。这通常是通过手动或机械计数器完成的，这是耗时的。我们研究了通过图像分析计数内核的可能性。我们的方法涉及用国产数码相机拍摄分散的籽粒样品的照片，并使用开源软件ImageJ进行自动颗粒计数。我们表明，这是一个快速（类似于2分钟每个样本）和可靠的（RMSE = 16内核每个样本）的方法，可以被广泛采用。
Because kernel number is the main yield component in grain crops, kernel number per plant or per unit land area is a commonly measured trait in field experiments. This is usually done by means of manual or mechanical counters, which is time consuming. We examined the possibility of counting kernels by means of image analysis. Our method involved taking photographs of dispersed kernel samples with a domestic digital camera and using the open source software ImageJ for automatic particle counting. We show that this is a quick (similar to 2 min per sample) and reliable (RMSE = 16 kernels per sample) method that could be widely adopted.