Information technologies for field-based high-throughput phenotyping

Kelly Thorp, Pedro Andrade Sanchez, Michael Gore, Jeffrey White, Andrew French

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Field-based, high-throughput phenotyping seeks to implement information technologies, including sensing and computing tools, to rapidly characterize the growth responses of genetically diverse plant populations in the field and relate these responses to individual genes. Field-based, high-throughput phenotyping includes a proximal sensing system, including a sensor platform and instrumentation, that can rapidly quantify phenotypic variation in the field. The instrument package includes four active radiometers for measuring canopy spectral reflectance in three wavebands, eight infrared thermometers for measuring canopy temperature, four sonar sensors that measure canopy height, and an RTK GPS receiver for horizontal and vertical positioning. Field-based, high-throughput phenotyping using only manual labor is prohibitive because thousands of distinct genetic lines must be characterized. 1.

Original languageEnglish (US)
Pages (from-to)8-9
Number of pages2
JournalResource: Engineering and Technology for Sustainable World
Volume19
Issue number5
StatePublished - Sep 2012

Fingerprint

Thermometers
information technology
Information technology
Throughput
canopy
Technology
phenotype
Temperature
sensors (equipment)
Growth
Population
Genes
thermometers
genetic lines
radiometers
Sensors
Sonar
instrumentation
Radiometers
phenotypic variation

ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biotechnology
  • Engineering(all)

Cite this

Information technologies for field-based high-throughput phenotyping. / Thorp, Kelly; Andrade Sanchez, Pedro; Gore, Michael; White, Jeffrey; French, Andrew.

In: Resource: Engineering and Technology for Sustainable World, Vol. 19, No. 5, 09.2012, p. 8-9.

Research output: Contribution to journalArticle

Thorp, Kelly ; Andrade Sanchez, Pedro ; Gore, Michael ; White, Jeffrey ; French, Andrew. / Information technologies for field-based high-throughput phenotyping. In: Resource: Engineering and Technology for Sustainable World. 2012 ; Vol. 19, No. 5. pp. 8-9.
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