Determining the Influence of Water Deficiency on NPK Stress Discrimination in Maize using Spectral and Spatial Information

Determining the Influence of Water Deficiency on NPK Stress Discrimination in Maize using... A necessary pre-requisite for variable rate application of plant nutrients to manage inputs in a site-specific manner is a technique to detect nutrient stresses in plants in real-time. Spectral reflectance of plant canopy may provide a non-destructive and rapid technique to detect nutrient and water stress in plants. In this study, we investigated the effect of water on nutrient stress discrimination (nitrogen, N; phosphorus, P; and potassium, K) based on the visible and near infrared reflectance of maize leaves grown under controlled greenhouse conditions. The analysis of the spectral data indicated that it was challenging to detect the nutrient deficiencies if the plant water status was unknown. However, if a priori knowledge of water stress existed, such as a well-watered situation, the ability to discriminate nutrient stress improved significantly. The analysis of whole plant behaviour (i.e., mean reflectance data from all leaves within a plant) versus leaves located at a specific location within a plant indicated that knowledge of spatial location of leaves within a plant helped to identify N and P stress and NPK as a multi-stress condition more clearly. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Precision Agriculture Springer Journals

Determining the Influence of Water Deficiency on NPK Stress Discrimination in Maize using Spectral and Spatial Information

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 2005 by Springer Science+Business Media, Inc.
Subject
Life Sciences; Agriculture; Soil Science & Conservation; Remote Sensing/Photogrammetry; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences; Atmospheric Sciences
ISSN
1385-2256
eISSN
1573-1618
D.O.I.
10.1007/s11119-005-5643-7
Publisher site
See Article on Publisher Site

Abstract

A necessary pre-requisite for variable rate application of plant nutrients to manage inputs in a site-specific manner is a technique to detect nutrient stresses in plants in real-time. Spectral reflectance of plant canopy may provide a non-destructive and rapid technique to detect nutrient and water stress in plants. In this study, we investigated the effect of water on nutrient stress discrimination (nitrogen, N; phosphorus, P; and potassium, K) based on the visible and near infrared reflectance of maize leaves grown under controlled greenhouse conditions. The analysis of the spectral data indicated that it was challenging to detect the nutrient deficiencies if the plant water status was unknown. However, if a priori knowledge of water stress existed, such as a well-watered situation, the ability to discriminate nutrient stress improved significantly. The analysis of whole plant behaviour (i.e., mean reflectance data from all leaves within a plant) versus leaves located at a specific location within a plant indicated that knowledge of spatial location of leaves within a plant helped to identify N and P stress and NPK as a multi-stress condition more clearly.

Journal

Precision AgricultureSpringer Journals

Published: Oct 22, 2005

References

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