Next Article in Journal
Hybrid Selection and Agronomic Management to Lessen the Continuous Corn Yield Penalty
Previous Article in Journal
Screening of EMS-Induced Drought-Tolerant Sugarcane Mutants Employing Physiological, Molecular and Enzymatic Approaches
Previous Article in Special Issue
Sensing and Automation in Pruning of Apple Trees: A Review
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Agronomy 2018, 8(10), 227; https://doi.org/10.3390/agronomy8100227

Remote Detection of Growth Dynamics in Red Lettuce Using a Novel Chlorophyll a Fluorometer

Center for Lighting Enabled Systems and Applications (LESA), Rensselaer Polytechnic Institute (RPI), Troy, NY 12180, USA
*
Author to whom correspondence should be addressed.
Received: 22 August 2018 / Revised: 3 October 2018 / Accepted: 11 October 2018 / Published: 16 October 2018
(This article belongs to the Special Issue Sensing and Automated Systems for Improved Crop Management)
Full-Text   |   PDF [8259 KB, uploaded 16 October 2018]   |  

Abstract

The production of food crops in controlled environment agriculture (CEA) can help mitigate food insecurity that may result from increasingly frequent and severe weather events in agricultural areas. Lighting is an absolute requirement for crop growth in CEA, and is undergoing rapid advances with the advent of tunable, light emitting diode (LED) systems. The integration of these systems into existing CEA environmental control architectures is in its infancy and would benefit from a non-invasive, rapid, real-time, remote sensor that could track crop growth under different lighting regimes. A newly-developed remote chlorophyll a fluorescence (ChlF) sensing device is described herein that provides direct, remote, real-time physiological data collection for integration into tunable LED lighting control systems, thereby enabling better control of crop growth and energy efficiency. Data collected by this device can be used to accurately model growth of red lettuce plants. In addition to monitoring growth, this system can predict relative growth rates (RGR), net assimilation rates (NAR), plant area (PA), and leaf area ratio (LAR). View Full-Text
Keywords: chlorophyll fluorescence; controlled environment agriculture; crop growth; crop modeling; relative growth rates; remote sensing; light emitting diodes chlorophyll fluorescence; controlled environment agriculture; crop growth; crop modeling; relative growth rates; remote sensing; light emitting diodes
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Urschel, M.R.; Pocock, T. Remote Detection of Growth Dynamics in Red Lettuce Using a Novel Chlorophyll a Fluorometer. Agronomy 2018, 8, 227.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Agronomy EISSN 2073-4395 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top