Support vector machine in precision agriculture: a review
The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. The applications of SVM in precision agriculture (PA) are compared by identifying its interactions with variables, comparing its model performance, highligh...
| Main Authors: | , , , |
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| Format: | Article |
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Elsevier BV
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/95216/ |
| _version_ | 1848862100191969280 |
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| author | Kok, Zhi Hong Mohamed Shariff, Abdul Rashid M. Alfatni, Meftah Salem Bejo, Siti Khairunniza |
| author_facet | Kok, Zhi Hong Mohamed Shariff, Abdul Rashid M. Alfatni, Meftah Salem Bejo, Siti Khairunniza |
| author_sort | Kok, Zhi Hong |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. The applications of SVM in precision agriculture (PA) are compared by identifying its interactions with variables, comparing its model performance, highlighting its strengths and weaknesses, as well as suggestions for improvements. From the perspective of six ML applications in PA, we confirmed features which may benefit the model in general (e.g. feature selection) or specific applications (e.g. phenology). SVM was found to outperform most models, with an inconclusive comparison with Random Forest (RF) and inferior to Deep Learning (DL). To our knowledge, this review highlights and summarizes recently renewed efforts of improving SVM performance in PA through its integration with DL, which is believed to be an upcoming trend for ML model development in modern PA. |
| first_indexed | 2025-11-15T13:11:39Z |
| format | Article |
| id | upm-95216 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:11:39Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-952162023-02-20T07:53:33Z http://psasir.upm.edu.my/id/eprint/95216/ Support vector machine in precision agriculture: a review Kok, Zhi Hong Mohamed Shariff, Abdul Rashid M. Alfatni, Meftah Salem Bejo, Siti Khairunniza The Support Vector Machine (SVM) is a Machine Learning (ML) algorithm which may be used for acquiring solutions towards better crop management. The applications of SVM in precision agriculture (PA) are compared by identifying its interactions with variables, comparing its model performance, highlighting its strengths and weaknesses, as well as suggestions for improvements. From the perspective of six ML applications in PA, we confirmed features which may benefit the model in general (e.g. feature selection) or specific applications (e.g. phenology). SVM was found to outperform most models, with an inconclusive comparison with Random Forest (RF) and inferior to Deep Learning (DL). To our knowledge, this review highlights and summarizes recently renewed efforts of improving SVM performance in PA through its integration with DL, which is believed to be an upcoming trend for ML model development in modern PA. Elsevier BV 2021 Article PeerReviewed Kok, Zhi Hong and Mohamed Shariff, Abdul Rashid and M. Alfatni, Meftah Salem and Bejo, Siti Khairunniza (2021) Support vector machine in precision agriculture: a review. Computers and Electronics in Agriculture, 191. pp. 1-12. ISSN 0168-1699; ESSN: 1872-7107 https://www.sciencedirect.com/science/article/pii/S0168169921005639?via%3Dihub 10.1016/j.compag.2021.106546 |
| spellingShingle | Kok, Zhi Hong Mohamed Shariff, Abdul Rashid M. Alfatni, Meftah Salem Bejo, Siti Khairunniza Support vector machine in precision agriculture: a review |
| title | Support vector machine in precision agriculture: a review |
| title_full | Support vector machine in precision agriculture: a review |
| title_fullStr | Support vector machine in precision agriculture: a review |
| title_full_unstemmed | Support vector machine in precision agriculture: a review |
| title_short | Support vector machine in precision agriculture: a review |
| title_sort | support vector machine in precision agriculture: a review |
| url | http://psasir.upm.edu.my/id/eprint/95216/ http://psasir.upm.edu.my/id/eprint/95216/ http://psasir.upm.edu.my/id/eprint/95216/ |