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

Autor: Thomas Roitsch, Eric S. Ober, Antoine Fournier, Llorenç Cabrera-Bosquet, José A. Jiménez-Berni, Kioumars Ghamkhar, Francisco de Assis de Carvalho Pinto
Přispěvatelé: Department of Plant and Environmental Sciences, department of Plant, Czech Academy of Sciences [Prague] (CAS), Écophysiologie des Plantes sous Stress environnementaux (LEPSE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro), ARVALIS - Institut du végétal [Paris], Agresearch Ltd, Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Global Wheat Program, International Maize and Wheat Improvement Center (CIMMYT), Consultative Group on International Agricultural Research [CGIAR] (CGIAR)-Consultative Group on International Agricultural Research [CGIAR] (CGIAR), National Institute of Agricultural Botany (NIAB), Ministry of Education, Youth and Sports of CR within the National Sustainability Program I (NPU I), grant number LO1415, ANR-PIA project PHENOME EMPHASIS.FR (ANR-11-INBS-0012), ANR-11-INBS-0012,PHENOME,Centre français de phénomique végétale(2011), Biotechnology and Biological Sciences Research Council (UK), European Commission, Agence Nationale de la Recherche (France), Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: Roitsch, T, Cabrera-Bosquet, L, Fournier, A, Ghamkhar, K, Jiménez-Berni, J, Pinto, F & Ober, E S 2019, ' Review : New sensors and data-driven approaches—A path to next generation phenomics ', Plant Science, vol. 282, pp. 2-10 . https://doi.org/10.1016/j.plantsci.2019.01.011
Plant Science (282), 2-10. (2019)
Plant Science
Plant Science, Elsevier, 2019, 282, pp.2-10. ⟨10.1016/j.plantsci.2019.01.011⟩
Digital.CSIC. Repositorio Institucional del CSIC
instname
ISSN: 0168-9452
Popis: 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.
This work was supported in part by the within the National Sustainability Program I (NPU I), grant number and the BBSRC (Grant No. BB/L022141/1 to ESO). LCB thanks the ANR-PIA project PHENOME EMPHASIS.FR (ANR-11-INBS-0012) and EPPN2020 (UE H2020 grant agreement No 731013) for partly funding this work.
Databáze: OpenAIRE
Externí odkaz: