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Agronomy 2014, 4(1), 108-123; doi:10.3390/agronomy4010108

Elements of an Integrated Phenotyping System for Monitoring Crop Status at Canopy Level

* ,
Center for Advanced Land Management Information Technologies (CALMIT), School of Natural Resources, University of Nebraska-Lincoln, 302 Hardin Hall, Lincoln, NE 68588-0973, USA
* Author to whom correspondence should be addressed.
Received: 4 December 2013 / Revised: 15 January 2014 / Accepted: 30 January 2014 / Published: 17 February 2014
(This article belongs to the Special Issue New Phenotyping Platforms for Field Trials)
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Great care is needed to obtain spectral data appropriate for phenotyping in a scientifically rigorous manner. This paper discusses the procedures and considerations necessary and also suggests important pre-processing and analytical steps leading to real-time, non-destructive assessment of crop biophysical characteristics. The system has three major components: (1) data-collection platforms (with a focus on backpack and tractor-mounted units) including specific instruments and their configurations; (2) data-collection and display software; and (3) standard products depicting crop-biophysical characteristics derived using a suite of models to transform the spectral data into accurate, reliable biophysical characteristics of crops, such as fraction of green vegetation, absorbed photosynthetically active radiation, leaf area index, biomass, chlorophyll content and gross primary production. This system streamlines systematic data acquisition, facilitates research, and provides useful products for agriculture.
Keywords: proximal sensing; vegetation; hyperspectral; spectral indices proximal sensing; vegetation; hyperspectral; spectral indices
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Rundquist, D.; Gitelson, A.; Leavitt, B.; Zygielbaum, A.; Perk, R.; Keydan, G. Elements of an Integrated Phenotyping System for Monitoring Crop Status at Canopy Level. Agronomy 2014, 4, 108-123.

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