高光谱成像
生物
非生物成分
度量(数据仓库)
生物技术
遥感
生态学
人工智能
计算机科学
数据挖掘
地质学
作者
Rijad Sarić,Viet Duc Nguyen,Timothy Burge,Oliver Berkowitz,Martin Trtílek,James Whelan,Mathew G. Lewsey,Eddie Custovic
标识
DOI:10.1016/j.tplants.2021.12.003
摘要
Our ability to interrogate and manipulate the genome far exceeds our capacity to measure the effects of genetic changes on plant traits. Much effort has been made recently by the plant science research community to address this imbalance. The responses of plants to environmental conditions can now be defined using a variety of imaging approaches. Hyperspectral imaging (HSI) has emerged as a promising approach to measure traits using a wide range of wavebands simultaneously in 3D to capture information in lab, glasshouse, or field settings. HSI has been applied to define abiotic, biotic, and quality traits for optimisation of crop management.
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