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.