Low-Cost Automated Vectors and Modular Environmental Sensors for Plant Phenotyping

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ID: 110703
2020
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Abstract
High-throughput plant phenotyping in controlled environments (growth chambers and glasshouses) is often delivered via large, expensive installations, leading to limited access and the increased relevance of “affordable phenotyping” solutions. We present two robot vectors for automated plant phenotyping under controlled conditions. Using 3D-printed components and readily-available hardware and electronic components, these designs are inexpensive, flexible and easily modified to multiple tasks. We present a design for a thermal imaging robot for high-precision time-lapse imaging of canopies and a Plate Imager for high-throughput phenotyping of roots and shoots of plants grown on media plates. Phenotyping in controlled conditions requires multi-position spatial and temporal monitoring of environmental conditions. We also present a low-cost sensor platform for environmental monitoring based on inexpensive sensors, microcontrollers and internet-of-things (IoT) protocols.
Reference Key
bagley2020sensorslow-cost Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Stuart A. Bagley;Jonathan A. Atkinson;Henry Hunt;Michael H. Wilson;Tony P. Pridmore;Darren M. Wells;Bagley, Stuart A.;Atkinson, Jonathan A.;Hunt, Henry;Wilson, Michael H.;Pridmore, Tony P.;Wells, Darren M.;
Journal sensors
Year 2020
DOI
10.3390/s20113319
URL
https://www.mdpi.com/1424-8220/20/11/3319
Keywords
3d printing phenotyping robots phenomics vectors iot sensors

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