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. 2021 Jun 25;12:611940. doi: 10.3389/fpls.2021.611940

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Copyright © 2021 Atefi, Ge, Pitla and Schnable.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Plant phenotyping robotic systems for indoor environment: (A) A multi-robot system equipped with deep learning technique to determine optimal viewpoints for 3D model reconstruction (Wu et al., 2019), (B) Sensor-equipped robot to measure the reflectance spectra, temperature, and fluorescence of leaf (Bao et al., 2019c), (C) Robotic system to measure leaf reflectance and leaf temperate (Atefi et al., 2019), and (D) Robotic system for direct measurement of leaf chlorophyll concentrations (Alenyá et al., 2014).