Optical imaging techniques for rice diseases detection: a review
Rice diseases have caused great economic losses to farmers in rice cultivation. The current assessment of rice disease evaluation still relies on manual, subjective, and laborious techniques. The manual and subjective evaluations lead to uncertainties since some diseases have almost similar characte...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sixscientia Resources
2020
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/86989/ http://psasir.upm.edu.my/id/eprint/86989/1/Optical%20imaging%20techniques%20for%20rice%20diseases%20detection.pdf |
| _version_ | 1848860337957240832 |
|---|---|
| author | Bachik, Nur Azizah Hashim, Norhashila Wayayok, Aimrun Che Man, Hasfalina Mohd Ali, Maimunah |
| author_facet | Bachik, Nur Azizah Hashim, Norhashila Wayayok, Aimrun Che Man, Hasfalina Mohd Ali, Maimunah |
| author_sort | Bachik, Nur Azizah |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Rice diseases have caused great economic losses to farmers in rice cultivation. The current assessment of rice disease evaluation still relies on manual, subjective, and laborious techniques. The manual and subjective evaluations lead to uncertainties since some diseases have almost similar characterisation. The applications of immunological, molecular, and microscope techniques are time-consuming, costly, and skills dependent. Thus, optical techniques are recommended to facilitate the control of diseases through their feasibility, rapidity, and accuracy, which can lead to better management strategies, besides improving production activity. These techniques for detecting and monitoring the diseases are important for precaution and prevention action. The present review discusses the existing and potential optical techniques for the detection of rice diseases. The techniques include optical imaging that consists of computer vision, spectroscopy, multispectral imaging, hyperspectral imaging (HSI), and remote sensing. Thus, this work presents in-depth information related to the nondestructive and potential applications of optical imaging techniques for rice disease detection. |
| first_indexed | 2025-11-15T12:43:38Z |
| format | Article |
| id | upm-86989 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T12:43:38Z |
| publishDate | 2020 |
| publisher | Sixscientia Resources |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-869892022-01-10T07:15:14Z http://psasir.upm.edu.my/id/eprint/86989/ Optical imaging techniques for rice diseases detection: a review Bachik, Nur Azizah Hashim, Norhashila Wayayok, Aimrun Che Man, Hasfalina Mohd Ali, Maimunah Rice diseases have caused great economic losses to farmers in rice cultivation. The current assessment of rice disease evaluation still relies on manual, subjective, and laborious techniques. The manual and subjective evaluations lead to uncertainties since some diseases have almost similar characterisation. The applications of immunological, molecular, and microscope techniques are time-consuming, costly, and skills dependent. Thus, optical techniques are recommended to facilitate the control of diseases through their feasibility, rapidity, and accuracy, which can lead to better management strategies, besides improving production activity. These techniques for detecting and monitoring the diseases are important for precaution and prevention action. The present review discusses the existing and potential optical techniques for the detection of rice diseases. The techniques include optical imaging that consists of computer vision, spectroscopy, multispectral imaging, hyperspectral imaging (HSI), and remote sensing. Thus, this work presents in-depth information related to the nondestructive and potential applications of optical imaging techniques for rice disease detection. Sixscientia Resources 2020-03-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/86989/1/Optical%20imaging%20techniques%20for%20rice%20diseases%20detection.pdf Bachik, Nur Azizah and Hashim, Norhashila and Wayayok, Aimrun and Che Man, Hasfalina and Mohd Ali, Maimunah (2020) Optical imaging techniques for rice diseases detection: a review. Journal of Agricultural and Food Engineering, 1 (1). pp. 1-11. ISSN 2716-6236 https://www.myjafe.com/volume-1-2020/#issue|1 10.37865/jafe.2020.0001 |
| spellingShingle | Bachik, Nur Azizah Hashim, Norhashila Wayayok, Aimrun Che Man, Hasfalina Mohd Ali, Maimunah Optical imaging techniques for rice diseases detection: a review |
| title | Optical imaging techniques for rice diseases detection: a review |
| title_full | Optical imaging techniques for rice diseases detection: a review |
| title_fullStr | Optical imaging techniques for rice diseases detection: a review |
| title_full_unstemmed | Optical imaging techniques for rice diseases detection: a review |
| title_short | Optical imaging techniques for rice diseases detection: a review |
| title_sort | optical imaging techniques for rice diseases detection: a review |
| url | http://psasir.upm.edu.my/id/eprint/86989/ http://psasir.upm.edu.my/id/eprint/86989/ http://psasir.upm.edu.my/id/eprint/86989/ http://psasir.upm.edu.my/id/eprint/86989/1/Optical%20imaging%20techniques%20for%20rice%20diseases%20detection.pdf |