Assessment of In-Season Cotton Nitrogen Status and Lint Yield Prediction from Unmanned Aerial System Imagery

Authors: Carlos Ballester, John Hornbuckle, James Brinkhoff, John Smith and Wendy Quayle

Journal Title: Remote Sensing

ISSN: 2072-4292 (Print)

Publisher: MDPI AG

The present work assessed the usefulness of a set of spectral indices obtained from an unmanned aerial system (UAS) for tracking spatial and temporal variability of nitrogen (N) status as well as for predicting lint yield in a commercial cotton (Gossypium hirsutum L.) farm.

Illustration Photo: Cotton Field (credits: chapstickaddict / Flickr Creative Commons Attribution-NonCommercial-NoDerivs 2.0 Generic (CC BY-NC-ND 2.0))

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Ag Sustainability And Innovation
Ag Sustainability And Innovation