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Study on measurement method for apple root morphological parameters based on Labview.
Plant Methods ( IF 5.1 ) Pub Date : 2019-12-11 , DOI: 10.1186/s13007-019-0535-4
Yu Liu 1 , Ji Qian 1 , Xin Yang 2 , Bao Di 1 , Juan Zhou 2
Affiliation  

Background Traditional measurements of apple seedling roots often rely on manual measurements and existing root scanners on the market. Manual measurement requires a lot of labor and time, and subjective reasons may cause the uncertainty of data; root scanners have limited scanning size and expensive. In case of fruit roots, coverage and occlusion issues will occur, resulting in inaccurate results, but our research solved this problem. Results The background plate was selected according to the color of the seedling roots; the image of the roots of the collected apple seedlings was preprocessed with Vision Development Module by combining image and Labview. The root surface area, average root diameter, root length and root volume of apple seedlings were measured by combining root characteristic parameters algorithm. In order to verify the effectiveness of the proposed method, a set of measurement system for root morphology of apple seedlings was designed, and the measurement result was compared with the Canadian root system WinRHIZO 2016 (Canada). With application of SPSS v22.0 analysis, the significance P > 0.01 indicated that the difference was not significant. The relative error of surface area was less than 0.5%. The relative error of the average diameter and length of the root system was less than 0.1%, and the relative error of the root volume was less than 0.2%. Conclusions It not only proved that the root surface area, average root diameter, root length and root volume of apple seedlings could be accurately measured by the method described herein, which was handy in operation, but also reduced the cost by 80-90% compared with the conventional scanner.

中文翻译:

基于Labview的苹果根系形态参数测量方法研究

背景 苹果苗根的传统测量通常依赖于手动测量和市场上现有的根扫描仪。人工测量需要大量的劳动和时间,主观原因可能会导致数据的不确定性;根扫描仪的扫描尺寸有限且价格昂贵。在果根的情况下,会出现覆盖和遮挡问题,导致结果不准确,但我们的研究解决了这个问题。结果根据苗根颜色选择背景板;将采集到的苹果幼苗根部图像用Vision Development Module结合image和Labview进行预处理。结合根系特征参数算法对苹果幼苗的根表面积、平均根直径、根长和根体积进行测量。为了验证所提方法的有效性,设计了一套苹果幼苗根系形态测量系统,并将测量结果与加拿大根系WinRHIZO 2016(加拿大)进行了比较。应用SPSS v22.0分析,显着性P>0.01表示差异不显着。表面积相对误差小于0.5%。根系平均直径和长度的相对误差小于0.1%,根体积的相对误差小于0.2%。结
更新日期:2019-12-11
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