Journal
FRONTIERS IN PLANT SCIENCE
Volume 12, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2021.611940
Keywords
autonomous robotic technology; agricultural robotics; phenotyping robot; high-throughput plant phenotyping; computer vision
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Funding
- USDA-NIFA [2017-67007-25941]
- National Science Foundation [OIA-1557417]
- NIFA [914503, 2017-67007-25941] Funding Source: Federal RePORTER
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Phenotyping plants using robots has revolutionized the traditional manual measurement methods, providing a more efficient way to monitor changes in plant traits. However, the operation of these robots still faces challenges due to the dynamic nature of plants and agricultural environments.
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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