使用光学传感器进行种子表型化的数字技术和趋势
Fei Liu1, Rui Yang1, Rongqin Chen1
1College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Journal of advanced research
|November 13, 2023
概括
数字光学传感器技术,如光谱,成像和3D重建,可以实现高通量,无接触的种子表型. 与特征相匹配的技术优化了种子评估和育种决策,以改善粮食安全.
科学领域:
- 农业科学 农业科学
- 生物技术是生物技术.
- 数据科学数据科学数据科学
背景情况:
- 种子表型化对于开发高质量,高产量,抗病作物品种至关重要,这对粮食安全至关重要.
- 数字化和光学传感器技术为种子表型评估提供无接触,高通量方法,提高育种效率.
研究的目的:
- 审查光谱学,数字成像和种子表型的3D重建的原则,方法和挑战.
- 对玉米种子特征 (外部可见表型和内部不可见表型) 进行基于光学传感器的数字技术的应用进行研究.
- 讨论设备,数据处理和种子表型化算法的未来趋势.
主要方法:
- 对光谱学,数字成像和3D重建原理和应用的审查.
- 对种子表型特征的光学传感器数据处理技术的分析.
- 对外部可见表型 (EVP) 和内部不可见表型 (IIP) 数字化的研究.
主要成果:
- 基于光学传感器的数字技术促进了无接触,高通量种子表型评估.
- 将数字技术定制为特定的种子特征,可以最大限度地减少资源损失并改善决策.
- 未来的进步将推动更加自动化,整合和智能化的种子表型.
结论:
- 基于光学传感器的数字技术对于有效的种子评估和作物育种至关重要.
- 技术的战略选择提高了资源管理和育种结果.
- 技术和算法的持续创新将弥合数字工具和种子表型化需求之间的差距.
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