机器学习用于基于图像的多omics分析叶脉的叶脉
Yubin Zhang1, Ning Zhang1, Xiujuan Chai1
1Agricultural Information Institute, Chinese Academy of Agricultural Sciences, No.12 Zhongguancun South St, Beijing 100081, China.
Journal of experimental botany
|July 6, 2023
概括
植物静脉对于生长至关重要,运输重要的资源. 图像识别和机器学习有助于分析静脉网络,以优化作物生产率.
科学领域:
- 植物生物学 植物生物学
- 计算生物学 计算生物学
- 图像分析 图像分析
背景情况:
- 植物静脉对于结构支持和营养物质运输至关重要,直接影响生长和发育.
- 了解静脉网络需要将植物生理与先进的计算技术相结合.
结论:
- 植物生理学和图像分析的结合方法是了解植物静脉的关键.
- 对静脉网络的机器学习驱动的洞察力可以为农业改进提供理论基础.
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