Phenotypic traits of grape bunches are known to be related with grapevine yield, wine flavour and sensitivity to disease. Aiming to solve a phenotypic bottleneck in current breeding studies as well as to improve the performance of phenotypic tools, we put forward a combination of grammar‐based reconstruction and vision‐based reconstruction, and propose an empirical reconstruction grammar restricted by an outline hull, which can model parameters of the entire bunch framework.

中文翻译：

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使用基于随机L系统的受限重构语法对Vitis vinifera（L.）cvs Pinot Noir和Merlot葡萄串框架进行三维重构

已知葡萄串的表型性状与葡萄产量，葡萄酒风味和对疾病的敏感性有关。为了解决当前育种研究中的表型瓶颈，并提高表型工具的性能，我们提出了基于语法的重构和基于视觉的重构的结合，并提出了受轮廓轮廓线约束的经验重构语法，可以建模整个束框架的参数。