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您的检索式：作者名="S.Teramoto"
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| 1 | A Deep Learning-Based Phenotypic Analysis of Rice Root Distribution from Field Images显示文摘Root distribution in the soil determines plants’nutrient and water uptake capacity.Therefore,root distribution is one of the most important factors in crop production.The trench profile method is used to observe the root distribution underground by making a rectangular hole close to the crop,providing informative images of the root distribution compared to other root phenotyping methods.However,much effort is required to segment the root area for quantification.In this study,we present a promising approach employing a convolutional neural network for root segmentation in trench profile images.We defined two parameters,Depth50 and Width50,representing the vertical and horizontal centroid of root distribution,respectively.Quantified parameters for root distribution in rice(Oryza sativa L.)predicted by the trained model were highly correlated with parameters calculated by manual tracing.These results indicated that this approach is useful for rapid quantification of the root distribution from the trench profile images.Using the trained model,we quantified the root distribution parameters among 60 rice accessions,revealing the phenotypic diversity of root distributions.We conclude that employing the trench profile method and a convolutional neural network is reliable for root phenotyping and it will furthermore facilitate the study of crop roots in the field. | S.Teramoto Y.Uga | 2020 | Plant Phenomics2020，2，1： | 4 |
| 2 | 采用高强度钢减轻连杆质量显示文摘为了提高汽车的燃油经济性,需要进一步减轻零部件的质量。减轻运动件(例如连杆)的质量对于降低相邻运动件的质量尤为重要。采用高强度钢能减小连杆杆身横截面,从而减轻连杆的质量。然而,传统高强度钢的机加工性能很差。因此,开发了1种连杆用的新高强度钢,它以中碳微合金钢为基础,并添加了能够提高屈强比的钒元素。与传统钢相比,新开发的高强度钢的强度提高了10%。采用新高强度钢制造的连杆其质量能减轻8%。这种连杆已从2013年开始进行批量生产,应用于车用发动机。 | S.Yamada T.Tsuruda M.Kubota S.Teramoto 高英英(译) 朱炳全(校) | 2017 | 国外内燃机2017，49，2： | 0 |
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