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Journal of Applied Remote Sensing • Open Access

Spatio-temporal evaluation of plant height in corn via unmanned aerial systems
Author(s): Sebastian Varela; Yared Assefa; P. V. Vara Prasad; Nahuel R. Peralta; Terry W. Griffin; Ajay Sharda; Allison Ferguson; Ignacio A. Ciampitti

Paper Abstract

Detailed spatial and temporal data on plant growth are critical to guide crop management. Conventional methods to determine field plant traits are intensive, time-consuming, expensive, and limited to small areas. The objective of this study was to examine the integration of data collected via unmanned aerial systems (UAS) at critical corn (

Paper Details

Date Published: 21 August 2017
PDF: 12 pages
J. Appl. Rem. Sens. 11(3) 036013 doi: 10.1117/1.JRS.11.036013
Published in: Journal of Applied Remote Sensing Volume 11, Issue 3
Show Author Affiliations
Sebastian Varela, Kansas State Univ. (United States)
Yared Assefa, Kansas State Univ. (United States)
P. V. Vara Prasad, Kansas State Univ. (United States)
Nahuel R. Peralta, Monsanto Co. (Argentina)
Terry W. Griffin, Kansas State Univ. (United States)
Ajay Sharda, Kansas State Univ. (United States)
Allison Ferguson, PrecisionHawk (United States)
Ignacio A. Ciampitti, Kansas State Univ. (United States)

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