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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Asian Network for Scientific Information
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/61308/ http://psasir.upm.edu.my/id/eprint/61308/1/Detecting%20and%20monitoring%20plant%20nutrient%20stress%20using%20remote%20sensing%20approaches%20a%20review.pdf |
| _version_ | 1848854388403077120 |
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| author | Chong, Yen Mee Balasundram, Siva Kumar Mohd Hanif, Ahmad Husni |
| author_facet | Chong, Yen Mee Balasundram, Siva Kumar Mohd Hanif, Ahmad Husni |
| author_sort | Chong, Yen Mee |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T11:09:04Z |
| format | Article |
| id | upm-61308 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:09:04Z |
| publishDate | 2017 |
| publisher | Asian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| spellingShingle | Chong, Yen Mee Balasundram, Siva Kumar Mohd Hanif, Ahmad Husni Detecting and monitoring plant nutrient stress using remote sensing approaches: a review |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/61308/ http://psasir.upm.edu.my/id/eprint/61308/ http://psasir.upm.edu.my/id/eprint/61308/ http://psasir.upm.edu.my/id/eprint/61308/1/Detecting%20and%20monitoring%20plant%20nutrient%20stress%20using%20remote%20sensing%20approaches%20a%20review.pdf |