Quantification of rice canopy nitrogen balance index with digital imagery from unmanned aerial vehicle
Author:
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)
Link
http://www.tandfonline.com/doi/pdf/10.1080/2150704X.2015.1021934
Reference15 articles.
1. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging
2. Determination of nitrogen in soil by the Kjeldahl method
3. Optically assessed contents of leaf polyphenolics and chlorophyll as indicators of nitrogen deficiency in wheat (Triticum aestivum L.)
4. Non-Destructive Optical Monitoring of Grape Maturation by Proximal Sensing
5. The Chlorophyll Fluorescence Ratio F735/F700 as an Accurate Measure of the Chlorophyll Content in Plants
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