Unmanned aircraft system(UAS)is a particularly powerful tool for plant phenotyping,due to reasonable cost of procurement and deployment,ease and flexibility for control and operation,ability to reconfigure sensor payl...Unmanned aircraft system(UAS)is a particularly powerful tool for plant phenotyping,due to reasonable cost of procurement and deployment,ease and flexibility for control and operation,ability to reconfigure sensor payloads to diversify sensing,and the ability to seamlessly fit into a larger connected phenotyping network.These advantages have expanded the use of UAS-based plant phenotyping approach in research and breeding applications.This paper reviews the state of the art in the deployment,collection,curation,storage,and analysis of data from UAS-based phenotyping platforms.We discuss pressing technical challenges,identify future trends in UAS-based phenotyping that the plant research community should be aware of,and pinpoint key plant science and agronomic questions that can be resolved with the next generation of UAS-based imaging modalities and associated data analysis pipelines.This review provides a broad account of the state of the art in UAS-based phenotyping to reduce the barrier to entry to plant science practitioners interested in deploying this imaging modality for phenotyping in plant breeding and research areas.展开更多
基金the Iowa Soybean Association(AS and AKS)the Plant Sciences Institute(BG,AKS,and SS)+6 种基金the Bayer Chair in Soybean Breeding(AKS)the R.F.Baker Center for Plant Breeding(AKS)the USDA National Institute of Food and Agriculture(NIFA)Food and Agriculture Cyberinformatics Tools(FACT)(award 2019-67021-29938)(AS,BG,SS,AKS,and NM)the NSF(S&CC-1952045)(AKS and SS)the USDA-CRIS(IOW04714)project(AKS and AS)the NSF(DBI-1265383)and(DBI-1743442)CyVerse(TS,NM)and the USDA NIFA(awards 2020-67021-31528 and 2020-68013-30934)(BG).This work was also supported by the CREST Program(JPMJCR1512)and the SICORP Program(JPMJSC16H2)(WG)of the Japan Science and Technology Agency,Japan.
文摘Unmanned aircraft system(UAS)is a particularly powerful tool for plant phenotyping,due to reasonable cost of procurement and deployment,ease and flexibility for control and operation,ability to reconfigure sensor payloads to diversify sensing,and the ability to seamlessly fit into a larger connected phenotyping network.These advantages have expanded the use of UAS-based plant phenotyping approach in research and breeding applications.This paper reviews the state of the art in the deployment,collection,curation,storage,and analysis of data from UAS-based phenotyping platforms.We discuss pressing technical challenges,identify future trends in UAS-based phenotyping that the plant research community should be aware of,and pinpoint key plant science and agronomic questions that can be resolved with the next generation of UAS-based imaging modalities and associated data analysis pipelines.This review provides a broad account of the state of the art in UAS-based phenotyping to reduce the barrier to entry to plant science practitioners interested in deploying this imaging modality for phenotyping in plant breeding and research areas.
