跳跃
机器人
计算机科学
组分(热力学)
物候学
吞吐量
领域(数学)
风险分析(工程)
生化工程
人工智能
生物
工程类
基因组学
业务
基因
财务
无线
基因组
生物化学
纯数学
热力学
物理
电信
数学
作者
Abbas Atefi,Yufeng Ge,Santosh Pitla,James C. Schnable
标识
DOI:10.3389/fpls.2021.611940
摘要
Phenotyping plants is an essential component of any effort to develop new crop varieties. As plant breeders seek to increase crop productivity and produce more food for the future, the amount of phenotype information they require will also increase. Traditional plant phenotyping relying on manual measurement is laborious, time-consuming, error-prone, and costly. Plant phenotyping robots have emerged as a high-throughput technology to measure morphological, chemical and physiological properties of large number of plants. Several robotic systems have been developed to fulfill different phenotyping missions. In particular, robotic phenotyping has the potential to enable efficient monitoring of changes in plant traits over time in both controlled environments and in the field. The operation of these robots can be challenging as a result of the dynamic nature of plants and the agricultural environments. Here we discuss developments in phenotyping robots, and the challenges which have been overcome and others which remain outstanding. In addition, some perspective applications of the phenotyping robots are also presented. We optimistically anticipate that autonomous and robotic systems will make great leaps forward in the next 10 years to advance the plant phenotyping research into a new era.
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