Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model
The vegetation stage of Durio Zibethinus trees is characterized by active root development, leaf expansion, and the initiation of reproductive structures. During this crucial phase, adequate irrigation is necessary to satisfy the trees' water requirements. A well-irrigated durian plantation enc...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/119357/ http://psasir.upm.edu.my/id/eprint/119357/1/119357.pdf |
| _version_ | 1848867943319863296 |
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| author | Ramli, M Shahrul Azwan Zainal Abidin, Mohamad Shukri Md Reba, Mohd Nadzri Pui, Boon Hean Abd Rahman, Mohd Amiruddin Lim, Way Foong Kolawole, Keshinro Kazeem Ardiansyah, Rizqi Andry |
| author_facet | Ramli, M Shahrul Azwan Zainal Abidin, Mohamad Shukri Md Reba, Mohd Nadzri Pui, Boon Hean Abd Rahman, Mohd Amiruddin Lim, Way Foong Kolawole, Keshinro Kazeem Ardiansyah, Rizqi Andry |
| author_sort | Ramli, M Shahrul Azwan |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The vegetation stage of Durio Zibethinus trees is characterized by active root development, leaf expansion, and the initiation of reproductive structures. During this crucial phase, adequate irrigation is necessary to satisfy the trees' water requirements. A well-irrigated durian plantation encourages effective nutrient absorption, resulting in healthier trees with increased pest and disease resistance. Understanding the water needs of durian trees is essential for irrigation management to optimize water application and prevent water stress and waterlogging. Typically, sensors measure the soil moisture within the root zone. However, installing soil moisture sensors at each tree is laborious and prohibitively expensive. Using climatic data to forecast the value is a viable option in such a scenario. Climate data are used to create soil moisture predictions incorporated into the irrigation model. This research employs Ant Colony Optimization- Support Vector Regression (ACO-SVR) to predict soil moisture levels. The model is compared to other optimization methods, and its accuracy is assessed using statistical methods. Finally, the prediction models' findings determine the irrigation volume and schedule. |
| first_indexed | 2025-11-15T14:44:31Z |
| format | Article |
| id | upm-119357 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:44:31Z |
| publishDate | 2024 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1193572025-08-18T02:13:41Z http://psasir.upm.edu.my/id/eprint/119357/ Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model Ramli, M Shahrul Azwan Zainal Abidin, Mohamad Shukri Md Reba, Mohd Nadzri Pui, Boon Hean Abd Rahman, Mohd Amiruddin Lim, Way Foong Kolawole, Keshinro Kazeem Ardiansyah, Rizqi Andry The vegetation stage of Durio Zibethinus trees is characterized by active root development, leaf expansion, and the initiation of reproductive structures. During this crucial phase, adequate irrigation is necessary to satisfy the trees' water requirements. A well-irrigated durian plantation encourages effective nutrient absorption, resulting in healthier trees with increased pest and disease resistance. Understanding the water needs of durian trees is essential for irrigation management to optimize water application and prevent water stress and waterlogging. Typically, sensors measure the soil moisture within the root zone. However, installing soil moisture sensors at each tree is laborious and prohibitively expensive. Using climatic data to forecast the value is a viable option in such a scenario. Climate data are used to create soil moisture predictions incorporated into the irrigation model. This research employs Ant Colony Optimization- Support Vector Regression (ACO-SVR) to predict soil moisture levels. The model is compared to other optimization methods, and its accuracy is assessed using statistical methods. Finally, the prediction models' findings determine the irrigation volume and schedule. Penerbit UTM Press 2024-08-29 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/119357/1/119357.pdf Ramli, M Shahrul Azwan and Zainal Abidin, Mohamad Shukri and Md Reba, Mohd Nadzri and Pui, Boon Hean and Abd Rahman, Mohd Amiruddin and Lim, Way Foong and Kolawole, Keshinro Kazeem and Ardiansyah, Rizqi Andry (2024) Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model. ELEKTRIKA- Journal of Electrical Engineering, 23 (2). pp. 32-43. ISSN 0128-4428; eISSN: 3083-9394 https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/article/view/537 10.11113/elektrika.v23n2.537 |
| spellingShingle | Ramli, M Shahrul Azwan Zainal Abidin, Mohamad Shukri Md Reba, Mohd Nadzri Pui, Boon Hean Abd Rahman, Mohd Amiruddin Lim, Way Foong Kolawole, Keshinro Kazeem Ardiansyah, Rizqi Andry Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title | Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title_full | Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title_fullStr | Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title_full_unstemmed | Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title_short | Improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| title_sort | improving water-efficient irrigation in terrain durio zibethinus farming using hybrid ant colony optimization-based soil moisture prediction model |
| url | http://psasir.upm.edu.my/id/eprint/119357/ http://psasir.upm.edu.my/id/eprint/119357/ http://psasir.upm.edu.my/id/eprint/119357/ http://psasir.upm.edu.my/id/eprint/119357/1/119357.pdf |