Maize yields have significantly increased over the past half‐century owing to advances in breeding and agronomic practices. Plants have been grown in increasingly higher densities due to changes in plant architecture resulting in plants with more upright leaves, which allows more efficient light interception for photosynthesis. Natural variation for leaf angle has been identified in maize and sorghum using multiple mapping populations. However, conventional phenotyping techniques for leaf angle are low throughput and labor intensive, and therefore hinder a mechanistic understanding of how the leaf angle of individual leaves changes over time in response to the environment.

中文翻译：

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叶角提取器：用于玉米和高粱叶角测量的高通量图像处理框架

由于育种和农艺实践的进步，玉米产量在过去半个世纪显着增加。由于植物结构的变化，植物的生长密度越来越高，导致植物的叶子更直立，这使得光合作用的光拦截效率更高。已经使用多个作图种群在玉米和高粱中确定了叶角的自然变异。然而，传统的叶角表型技术产量低且劳动强度大，因此阻碍了对单个叶子的叶角如何随时间变化以响应环境的机械理解。