Review: New sensors and data-driven approaches—A path to next generation phenomics

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

SN - 0168-9452

VL - 282

SP - 2

EP - 10

JO - Plant Science

JF - Plant Science

ER -