Mobile computing for pest and disease management using spectral signature analysis: a review
The demand for mobile applications in agriculture is increasing as smartphones are continuously developed and used for many purposes; one of them is managing pests and diseases in crops. Using mobile applications, farmers can detect early infection and improve the specified treatment and precautions...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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Multidisciplinary Digital Publishing Institute
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/102193/ |
| _version_ | 1848863739633205248 |
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| author | Che’Ya, Nik Norasma Mohidem, Nur Adibah Roslin, Nor Athirah Saberioon, Mohammadmehdi Tarmidi, Mohammad Zakri Arif Shah, Jasmin Fazlil Ilahi, Wan Fazilah Man, Norsida |
| author_facet | Che’Ya, Nik Norasma Mohidem, Nur Adibah Roslin, Nor Athirah Saberioon, Mohammadmehdi Tarmidi, Mohammad Zakri Arif Shah, Jasmin Fazlil Ilahi, Wan Fazilah Man, Norsida |
| author_sort | Che’Ya, Nik Norasma |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The demand for mobile applications in agriculture is increasing as smartphones are continuously developed and used for many purposes; one of them is managing pests and diseases in crops. Using mobile applications, farmers can detect early infection and improve the specified treatment and precautions to prevent further infection from occurring. Furthermore, farmers can communicate with agricultural authorities to manage their farm from home, and efficiently obtain information such as the spectral signature of crops. Therefore, the spectral signature can be used as a reference to detect pests and diseases with a hyperspectral sensor more efficiently than the conventional method, which takes more time to monitor the entire crop field. This review aims to show the current and future trends of mobile computing based on spectral signature analysis for pest and disease management. In this review, the use of mobile applications for pest and disease monitoring is evaluated based on image processing, the systems developed for pest and disease extraction, and the structure of steps outlined in developing a mobile application. Moreover, a comprehensive literature review on the utilisation of spectral signature analysis for pest and disease management is discussed. The spectral reflectance used in monitoring plant health and image processing for pest and disease diagnosis is mentioned. The review also elaborates on the integration of a spectral signature library within mobile application devices to obtain information about pests and disease in crop fields by extracting information from hyperspectral datasets. This review demonstrates the necessary scientific knowledge for visualising the spectral signature of pests and diseases using a mobile application, allowing this technology to be used in real-world agricultural settings. |
| first_indexed | 2025-11-15T13:37:42Z |
| format | Article |
| id | upm-102193 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:37:42Z |
| publishDate | 2022 |
| publisher | Multidisciplinary Digital Publishing Institute |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1021932023-06-16T04:06:05Z http://psasir.upm.edu.my/id/eprint/102193/ Mobile computing for pest and disease management using spectral signature analysis: a review Che’Ya, Nik Norasma Mohidem, Nur Adibah Roslin, Nor Athirah Saberioon, Mohammadmehdi Tarmidi, Mohammad Zakri Arif Shah, Jasmin Fazlil Ilahi, Wan Fazilah Man, Norsida The demand for mobile applications in agriculture is increasing as smartphones are continuously developed and used for many purposes; one of them is managing pests and diseases in crops. Using mobile applications, farmers can detect early infection and improve the specified treatment and precautions to prevent further infection from occurring. Furthermore, farmers can communicate with agricultural authorities to manage their farm from home, and efficiently obtain information such as the spectral signature of crops. Therefore, the spectral signature can be used as a reference to detect pests and diseases with a hyperspectral sensor more efficiently than the conventional method, which takes more time to monitor the entire crop field. This review aims to show the current and future trends of mobile computing based on spectral signature analysis for pest and disease management. In this review, the use of mobile applications for pest and disease monitoring is evaluated based on image processing, the systems developed for pest and disease extraction, and the structure of steps outlined in developing a mobile application. Moreover, a comprehensive literature review on the utilisation of spectral signature analysis for pest and disease management is discussed. The spectral reflectance used in monitoring plant health and image processing for pest and disease diagnosis is mentioned. The review also elaborates on the integration of a spectral signature library within mobile application devices to obtain information about pests and disease in crop fields by extracting information from hyperspectral datasets. This review demonstrates the necessary scientific knowledge for visualising the spectral signature of pests and diseases using a mobile application, allowing this technology to be used in real-world agricultural settings. Multidisciplinary Digital Publishing Institute 2022-04-16 Article PeerReviewed Che’Ya, Nik Norasma and Mohidem, Nur Adibah and Roslin, Nor Athirah and Saberioon, Mohammadmehdi and Tarmidi, Mohammad Zakri and Arif Shah, Jasmin and Fazlil Ilahi, Wan Fazilah and Man, Norsida (2022) Mobile computing for pest and disease management using spectral signature analysis: a review. Agronomy, 12 (4). art. no. 967. pp. 1-22. ISSN 2073-4395 https://www.mdpi.com/2073-4395/12/4/967 10.3390/agronomy12040967 |
| spellingShingle | Che’Ya, Nik Norasma Mohidem, Nur Adibah Roslin, Nor Athirah Saberioon, Mohammadmehdi Tarmidi, Mohammad Zakri Arif Shah, Jasmin Fazlil Ilahi, Wan Fazilah Man, Norsida Mobile computing for pest and disease management using spectral signature analysis: a review |
| title | Mobile computing for pest and disease management using spectral signature analysis: a review |
| title_full | Mobile computing for pest and disease management using spectral signature analysis: a review |
| title_fullStr | Mobile computing for pest and disease management using spectral signature analysis: a review |
| title_full_unstemmed | Mobile computing for pest and disease management using spectral signature analysis: a review |
| title_short | Mobile computing for pest and disease management using spectral signature analysis: a review |
| title_sort | mobile computing for pest and disease management using spectral signature analysis: a review |
| url | http://psasir.upm.edu.my/id/eprint/102193/ http://psasir.upm.edu.my/id/eprint/102193/ http://psasir.upm.edu.my/id/eprint/102193/ |