A Simple, Inexpensive Method for Using Unmanned Aerial Vehicle Photograph Analysis to Quantify Green Color and Enhance Ratings in Field Research Plots | Zendy

Trey Price | Zendy; Sebe Brown | Zendy; Randy Price | Zendy

Open Access

A Simple, Inexpensive Method for Using Unmanned Aerial Vehicle Photograph Analysis to Quantify Green Color and Enhance Ratings in Field Research Plots

Author(s) -

Trey Price,

Sebe Brown,

Randy Price

Publication year - 2019

Publication title -

plant health progress

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.565

H-Index - 9

ISSN - 1535-1025

DOI - 10.1094/php-11-18-0073-br

Subject(s) - drone , pest analysis , field (mathematics) , computer vision , plot (graphics) , computer science , artificial intelligence , agricultural engineering , remote sensing , biology , statistics , mathematics , engineering , horticulture , botany , pure mathematics , geology

Agricultural small-plot research is necessary to determine pesticide efficacy and develop integrated pest management programs for stakeholders. Many efficacy trials are rated visually using scales of foliage affected by a given pest. Human estimations introduce variability, and researchers continue explore methods of reducing variability in research trials. Recent developments in unmanned aerial vehicle technology allow novices to outfit inexpensive drones with inexpensive modified cameras to obtain aerial photographs that can be analyzed with any number of free image manipulation programs. Measuring reflected color from photographs provides data with lower variability that can be correlated with foliar disease ratings.

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