Citation
Jian, Wen Lin and Mohd Shahrimie Mohd Asaari, . and Haidi Ibrahim, . and Mohamad Khairi Ishak, . and Abdul Sattar Din, . (2023) A review on analysis method of proximal hyperspectral imaging for studying plant traits. Pertanika Journal of Science & Technology (Malaysia), 31 (6). 2823 -2850. ISSN 2231-8526
Abstract
Understanding the response of plant traits towards different growing conditions is crucial to maximizing crop yield and mitigating the effect of the food crisis. At present, many imaging techniques are being explored and utilized within plant science to solve problems in agriculture. One of the most advanced imaging methods is hyperspectral imaging (HSI), as it carries the spectral and spatial information of a subject. However, in most plant studies that utilized HSI, the focus was given to performing an analysis of spectral information. Even though a satisfactory performance was achieved, there is potential for better performance if spatial information is given more consideration. This review paper (1) discusses the potential of the proximal HSI analysis methods for plant traits studies, (2) presents an overview of the acceptance of hyperspectral imaging technology for plant research, (3) presents the basic workflow of hyperspectral imaging in proximal settings concerning the image acquisition settings, image pre-processing, spectral normalization, and spectral analysis, (4) discusses the analysis methods that utilize spatial information, and (5) addresses some technical challenges related to implementing hyperspectral imaging in proximal settings for plant traits analysis.
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Abstract
Understanding the response of plant traits towards different growing conditions is crucial to maximizing crop yield and mitigating the effect of the food crisis. At present, many imaging techniques are being explored and utilized within plant science to solve problems in agriculture. One of the most advanced imaging methods is hyperspectral imaging (HSI), as it carries the spectral and spatial information of a subject. However, in most plant studies that utilized HSI, the focus was given to performing an analysis of spectral information. Even though a satisfactory performance was achieved, there is potential for better performance if spatial information is given more consideration. This review paper (1) discusses the potential of the proximal HSI analysis methods for plant traits studies, (2) presents an overview of the acceptance of hyperspectral imaging technology for plant research, (3) presents the basic workflow of hyperspectral imaging in proximal settings concerning the image acquisition settings, image pre-processing, spectral normalization, and spectral analysis, (4) discusses the analysis methods that utilize spatial information, and (5) addresses some technical challenges related to implementing hyperspectral imaging in proximal settings for plant traits analysis.
Additional Metadata
| Item Type: | Article |
|---|---|
| AGROVOC Term: | plants |
| AGROVOC Term: | phenotyping |
| AGROVOC Term: | image analysis |
| AGROVOC Term: | remote sensing |
| AGROVOC Term: | sensors |
| AGROVOC Term: | data analysis |
| AGROVOC Term: | plant anatomy |
| Geographical Term: | Malaysia |
| Uncontrolled Keywords: | Hyperspectral imaging |
| Depositing User: | Ms. Azariah Hashim |
| Date Deposited: | 07 Feb 2025 02:36 |
| Last Modified: | 07 Feb 2025 02:36 |
| URI: | http://webagris.upm.edu.my/id/eprint/1993 |
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