Publications

@article{Bagley2020-af,

title = {Low-cost automated vectors and modular environmental sensors for 

 plant phenotyping},

author = {Stuart A Bagley and Jonathan A Atkinson and Henry Hunt and Michael H Wilson and Tony P Pridmore and Darren M Wells},

year  = {2020},

date = {2020-06-01},

journal = {Sensors (Basel)},

volume = {20},

number = {11},

pages = {3319},

publisher = {MDPI AG},

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.},

keywords = {3D printing, IoT sensors, phenomics vectors, phenotyping robots},

pubstate = {published},

tppubtype = {article}

}