Which active optical sensor vegetation index is best for nitrogen assessment in irrigated cotton?

Author:

Bronson K. F.1ORCID,Conley M. M.1,French A. N.1,Hunsaker D. J.1,Thorp K. R.1,Barnes E. M.2

Affiliation:

1. USDA‐ARS U.S. Arid Land Agricultural Research Center 21881 N. Cardon Ln Maricopa AZ 85138 USA

2. Cotton Incorporated 6399 Weston Parkway Cary NC 27513 USA

Funder

Cotton Incorporated

Publisher

Wiley

Subject

Agronomy and Crop Science

Reference38 articles.

1. Spectral Vegetation Indices as Nondestructive Tools for Determining Durum Wheat Yield

2. Development of an NDVI-Based Nitrogen Rate Calculator for Cotton

3. Assessment of in‐season cotton nitrogen status and lint yield prediction from unmanned aerial system imagery;Ballester C.;Remote Sensing,2017

4. Barnes E. M. Clarke T. R. Richards S. E. Colaizzi P. D. Haberland J. Kostrzewski M. …Moran M. S.(2000).Coincident detection of crop water stress nitrogen status and canopy density using ground‐based multi‐spectral data [CD‐ROM]. In P.C. Robert et al. (ed.) Proc 5thInt. Conf. Prec. Agric. Bloomington MN. 16–19 July 2000. ASA CSSA SSSA Madison WI.

5. Active‐Optical Reflectance Sensing Corn Algorithms Evaluated over the United States Midwest Corn Belt

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