PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments

201767 citationsJournal Articlegold Open Access

Authors

Benoît Valle · Institut Agro Montpellier

Thierry Simonneau · Institut Agro Montpellier

Romain Boulord · Institut Agro Montpellier

Francis Sourd · Sun Chemical (United States)

Thibault Frisson · Slovak Astronomical Society at the Slovak Academy of Sciences

Maxime Ryckewaert · Slovak Astronomical Society at the Slovak Academy of Sciences

Philippe Hamard

Abstract

The imaging device described here has several benefits, such as affordability, low cost, reliability and flexibility for online analysis and storage. It should be easily appropriated and customized to meet the needs of various users.

Topics & Keywords

Remote Sensing in Agriculture Leaf Properties and Growth Measurement Greenhouse Technology and Climate Control

Publication Details

Published in: Plant Methods

Volume 13, Issue 1, pp. 98-98

DOI: 10.1186/s13007-017-0248-5

Field-Weighted Citation Impact: 2.89

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PYM: a new, affordable, image-based method using a Raspberry Pi to phenotype plant leaf area in a wide diversity of environments

Authors

Abstract

Topics & Keywords

Publication Details