Review: New sensors and data-driven approaches—A path to next generation phenomics
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Review : New sensors and data-driven approaches—A path to next generation phenomics. / Roitsch, Thomas; Cabrera-Bosquet, Llorenç; Fournier, Antoine; Ghamkhar, Kioumars; Jiménez-Berni, José; Pinto, Francisco; Ober, Eric S.
In: Plant Science, Vol. 282, 05.2019, p. 2-10.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Review
T2 - New sensors and data-driven approaches—A path to next generation phenomics
AU - Roitsch, Thomas
AU - Cabrera-Bosquet, Llorenç
AU - Fournier, Antoine
AU - Ghamkhar, Kioumars
AU - Jiménez-Berni, José
AU - Pinto, Francisco
AU - Ober, Eric S.
PY - 2019/5
Y1 - 2019/5
N2 - At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts.
AB - At the 4th International Plant Phenotyping Symposium meeting of the International Plant Phenotyping Network (IPPN) in 2016 at CIMMYT in Mexico, a workshop was convened to consider ways forward with sensors for phenotyping. The increasing number of field applications provides new challenges and requires specialised solutions. There are many traits vital to plant growth and development that demand phenotyping approaches that are still at early stages of development or elude current capabilities. Further, there is growing interest in low-cost sensor solutions, and mobile platforms that can be transported to the experiments, rather than the experiment coming to the platform. Various types of sensors are required to address diverse needs with respect to targets, precision and ease of operation and readout. Converting data into knowledge, and ensuring that those data (and the appropriate metadata) are stored in such a way that they will be sensible and available to others now and for future analysis is also vital. Here we are proposing mechanisms for “next generation phenomics” based on our learning in the past decade, current practice and discussions at the IPPN Symposium, to encourage further thinking and collaboration by plant scientists, physicists and engineering experts.
KW - Imaging
KW - IPPN
KW - Metadata
KW - Next generation phenomics
KW - Plant phenotyping
KW - Sensor development
KW - Trait value
UR - http://www.scopus.com/inward/record.url?scp=85060531206&partnerID=8YFLogxK
U2 - 10.1016/j.plantsci.2019.01.011
DO - 10.1016/j.plantsci.2019.01.011
M3 - Journal article
C2 - 31003608
AN - SCOPUS:85060531206
VL - 282
SP - 2
EP - 10
JO - Plant Science
JF - Plant Science
SN - 0168-9452
ER -
ID: 216212792