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

Bagley, Stuart A; Atkinson, Jonathan A; Hunt, Henry; Wilson, Michael H; Pridmore, Tony P; Wells, Darren M

Bagley, Stuart A; Atkinson, Jonathan A; Hunt, Henry; Wilson, Michael H; Pridmore, Tony P; Wells, Darren M.

Afiliação

Bagley SA; Integrated Phenomics Group, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK.
Atkinson JA; Future Food Beacon, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK.
Hunt H; School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK.
Wilson MH; Future Food Beacon, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK.
Pridmore TP; School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK.
Wells DM; Integrated Phenomics Group, School of Biosciences, University of Nottingham, Sutton Bonington Campus, Sutton Bonington LE12 5RD, UK.

Sensors (Basel) ; 20(11)2020 Jun 11.

Article em En | MEDLINE | ID: mdl-32545168

Assuntos

Monitoramento Ambiental; Plantas; Fenótipo

Palavras-chave

3D printing; IoT sensors; phenomics vectors; phenotyping robots

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Plantas / Monitoramento Ambiental Tipo de estudo: Health_economic_evaluation Idioma: En Ano de publicação: 2020 Tipo de documento: Article

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