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Detecting and monitoring plant nutrient stress using remote sensing approaches: a review

Determination of plant stress factors is often challenging as it can be a compound result of water deficit, nutrient deficiency and disease infection. Symptoms arising from these stress factors may also be similar. Hence, visual observation alone could result in flawed diagnosis which would eventual...

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Main Authors: Chong, Yen Mee, Balasundram, Siva Kumar, Mohd Hanif, Ahmad Husni
Format: Article
Language:English
Published: Asian Network for Scientific Information 2017
Online Access:http://psasir.upm.edu.my/id/eprint/61308/1/Detecting%20and%20monitoring%20plant%20nutrient%20stress%20using%20remote%20sensing%20approaches%20a%20review.pdf
http://psasir.upm.edu.my/id/eprint/61308/
https://scialert.net/abstract/?doi=ajps.2017.1.8
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spelling my.upm.eprints.613082018-07-25T08:46:53Z http://psasir.upm.edu.my/id/eprint/61308/ Detecting and monitoring plant nutrient stress using remote sensing approaches: a review Chong, Yen Mee Balasundram, Siva Kumar Mohd Hanif, Ahmad Husni Determination of plant stress factors is often challenging as it can be a compound result of water deficit, nutrient deficiency and disease infection. Symptoms arising from these stress factors may also be similar. Hence, visual observation alone could result in flawed diagnosis which would eventually disrupt remedial action for the affected plant/crop. Spectral reflectance measurements can help identify and select wavelengths sensitive to different types plant stress. Previous studies have found that plant stress will change spectral reflectance pattern in the visible range (380-720 nm or F380-F720) and the infrared range (720-1500 nm or F720-F1500). Typically, the magnitude of change will vary at different wavelengths. Such information facilitates early detection of plant stress, particularly nutrient deficiency. This approach can potentially lower operating cost in fertilization and minimize acute loss of productivity. This review examines a range of spectral techniques that deploy remote sensing for detecting plant nutrient stress and monitoring plant nutritional status. Asian Network for Scientific Information 2017 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/61308/1/Detecting%20and%20monitoring%20plant%20nutrient%20stress%20using%20remote%20sensing%20approaches%20a%20review.pdf Chong, Yen Mee and Balasundram, Siva Kumar and Mohd Hanif, Ahmad Husni (2017) Detecting and monitoring plant nutrient stress using remote sensing approaches: a review. Asian Journal of Plant Sciences, 16 (1). pp. 1-8. ISSN 1682-3974; ESSN: 1812-5697 https://scialert.net/abstract/?doi=ajps.2017.1.8 10.3923/ajps.2017.1.8
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Determination of plant stress factors is often challenging as it can be a compound result of water deficit, nutrient deficiency and disease infection. Symptoms arising from these stress factors may also be similar. Hence, visual observation alone could result in flawed diagnosis which would eventually disrupt remedial action for the affected plant/crop. Spectral reflectance measurements can help identify and select wavelengths sensitive to different types plant stress. Previous studies have found that plant stress will change spectral reflectance pattern in the visible range (380-720 nm or F380-F720) and the infrared range (720-1500 nm or F720-F1500). Typically, the magnitude of change will vary at different wavelengths. Such information facilitates early detection of plant stress, particularly nutrient deficiency. This approach can potentially lower operating cost in fertilization and minimize acute loss of productivity. This review examines a range of spectral techniques that deploy remote sensing for detecting plant nutrient stress and monitoring plant nutritional status.
format Article
author Chong, Yen Mee
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
spellingShingle Chong, Yen Mee
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
author_facet Chong, Yen Mee
Balasundram, Siva Kumar
Mohd Hanif, Ahmad Husni
author_sort Chong, Yen Mee
title Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
title_short Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
title_full Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
title_fullStr Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
title_full_unstemmed Detecting and monitoring plant nutrient stress using remote sensing approaches: a review
title_sort detecting and monitoring plant nutrient stress using remote sensing approaches: a review
publisher Asian Network for Scientific Information
publishDate 2017
url http://psasir.upm.edu.my/id/eprint/61308/1/Detecting%20and%20monitoring%20plant%20nutrient%20stress%20using%20remote%20sensing%20approaches%20a%20review.pdf
http://psasir.upm.edu.my/id/eprint/61308/
https://scialert.net/abstract/?doi=ajps.2017.1.8
_version_ 1643837543498645504
score 13.211869

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