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98895

REMOTE SENSING FOR DETECTING AND DISTINGUISHING MOISTURE AND NITROGEN STRESS IN MAIZE

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Last updated: 04 Jan 2025

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Abstract

Remote sensing has been known as a robust technique in precision farming over the last quarter of the 20th century. It has been successfully used to asses many biophysical and biochemical properties of various crops. Detecting stress in crops at an early growth stage is important to limit crop reductions and therefore increasing productivity. Thus, remote sensing may be a valuable tool for precision farming in cereal production. The present study was conducted to investigate the effectiveness of broad band and hyperspectral remotely sensed data to quantify maize (Zea maize L.) grain yield under moisture and nitrogen deficiency stresses. The results demonstrated strong significant correlations between various crop properties and some vegetation indices.  RVI, SAVI, OSAVI and R750/R550 were found to be sensitive to maize grain yield (r > 0.80). The correlations with grain yield were found to be strongest at the grain filling stage. Penalized Linear Discrimnant Analysis (PLDA) and Principle Component Analysis (PCA) demonstrated the possibility to distinguish between moisture and nitrogen deficiency stress.

DOI

10.21608/mjae.2014.98895

Keywords

Remote Sensing, Reflectance, Nitrogen deficiency, moisture, Stress

Authors

First Name

A. H.

Last Name

Elmetwalli

MiddleName

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Affiliation

Assi. Prof., Agric. Eng. Dept., Fac. of Agric., Tanta Univ., Egypt.

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Volume

31

Article Issue

3

Related Issue

14934

Issue Date

2014-07-01

Receive Date

2020-06-28

Publish Date

2014-07-01

Page Start

753

Page End

764

Print ISSN

1687-384X

Online ISSN

2636-3062

Link

https://mjae.journals.ekb.eg/article_98895.html

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https://mjae.journals.ekb.eg/service?article_code=98895

Order

3

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

REMOTE SENSING FOR DETECTING AND DISTINGUISHING MOISTURE AND NITROGEN STRESS IN MAIZE

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Article

Created At

23 Jan 2023