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Correction to: Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system

Plant Methods volume 15, Article number: 113 (2019) Cite this article

The Original Article was published on 20 August 2019

Correction to: Plant Methods (2019) 15:97 https://doi.org/10.1186/s13007-019-0478-9

In the original article [1], under the subheading “Image data processing”, last paragraph, last sentence that reads as “The least …… data collection” was incorrectly published. The correct sentence should read as “Least-significant differences (P < 0.20) were calculated for all 36 trials on both ground-based and UAS-image based scores for both dates of data collection.” The original article has been corrected.

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  1. Dobbels AA, Lorenz AJ. Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system. Plant Methods. 2019;15:97.

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  1. Department of Agronomy and Plant Genetics, University of Minnesota, 1991 Upper Buford Circle, 411 Borlaug Hall, St. Paul, MN, 55108, USA

    Austin A. Dobbels & Aaron J. Lorenz

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  1. Austin A. Dobbels
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  2. Aaron J. Lorenz
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Correspondence to Aaron J. Lorenz.

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Dobbels, A.A., Lorenz, A.J. Correction to: Soybean iron deficiency chlorosis high throughput phenotyping using an unmanned aircraft system. Plant Methods 15, 113 (2019). https://doi.org/10.1186/s13007-019-0495-8

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  • DOI: https://doi.org/10.1186/s13007-019-0495-8

Plant Methods

ISSN: 1746-4811