Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize
- Author
- Bere Benjamin Bantchina, Kemal Sulhi Gündoğdu, Selçuk Arslan, Yahya Ulusoy, Yücel Tekin, Xanthoula Eirini Pantazi, Konstantinos Dolaptsis, Charalampos Paraskevas, Georgios Tziotzios, Muhammad Qaswar (UGent) and Abdul Mouazen (UGent)
- Organization
- Project
- Abstract
- This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose reel fertigation machine (VRFM) with a four-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively, on different dates during the 2022 crop season. Three and five MZs scenarios were simulated per irrigation and the theoretical maps were processed for implementation. The application maps fitted to the VRFM showed significant spatiotemporal variations in irrigation requirements. For instance, in Field 1, 3-MZ modelling showed that the areas requiring high (H), medium (M), and low (L)-level irrigation on 21 July were 1.60, 4.84, and 1.85 ha, respectively, even though the farmer applied uniform rate over the whole field. H-level sub-areas ranged between 1.22 ha (25 July) and 3.25 ha (7 July), showing a coefficient of variation (CV) of 43.32% for the three MZs, whereas H-level sub-areas for the five MZs varied from 0.41 ha (2 July) to 1.49 ha (7 July) with a CV value of 48.84%. High levels of within-field variability can be addressed using precise and dynamic irrigation MZs fitted to the irrigation technology used.
- Keywords
- irrigation, maize, management zones, variable rate irrigation, wireless soil moisture sensor, cloud, MANAGEMENT
Downloads
-
soilsystems-08-00019.pdf
- full text (Published version)
- |
- open access
- |
- |
- 8.69 MB
Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HNCSVYXY02YVNCKNYH2EJK61
- MLA
- Bantchina, Bere Benjamin, et al. “Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize.” SOIL SYSTEMS, vol. 8, no. 1, 2024, doi:10.3390/soilsystems8010019.
- APA
- Bantchina, B. B., Gündoğdu, K. S., Arslan, S., Ulusoy, Y., Tekin, Y., Pantazi, X. E., … Mouazen, A. (2024). Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize. SOIL SYSTEMS, 8(1). https://doi.org/10.3390/soilsystems8010019
- Chicago author-date
- Bantchina, Bere Benjamin, Kemal Sulhi Gündoğdu, Selçuk Arslan, Yahya Ulusoy, Yücel Tekin, Xanthoula Eirini Pantazi, Konstantinos Dolaptsis, et al. 2024. “Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize.” SOIL SYSTEMS 8 (1). https://doi.org/10.3390/soilsystems8010019.
- Chicago author-date (all authors)
- Bantchina, Bere Benjamin, Kemal Sulhi Gündoğdu, Selçuk Arslan, Yahya Ulusoy, Yücel Tekin, Xanthoula Eirini Pantazi, Konstantinos Dolaptsis, Charalampos Paraskevas, Georgios Tziotzios, Muhammad Qaswar, and Abdul Mouazen. 2024. “Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize.” SOIL SYSTEMS 8 (1). doi:10.3390/soilsystems8010019.
- Vancouver
- 1.Bantchina BB, Gündoğdu KS, Arslan S, Ulusoy Y, Tekin Y, Pantazi XE, et al. Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize. SOIL SYSTEMS. 2024;8(1).
- IEEE
- [1]B. B. Bantchina et al., “Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize,” SOIL SYSTEMS, vol. 8, no. 1, 2024.
@article{01HNCSVYXY02YVNCKNYH2EJK61,
abstract = {{This study aimed to simulate dynamic irrigation management zones (MZs) in two maize fields for a variable rate hose reel fertigation machine (VRFM) with a four-section boom control. Soil moisture content was measured from nine and four soil moisture sensors in Field 1 (8.2 ha) and Field 2 (2.5 ha), respectively, on different dates during the 2022 crop season. Three and five MZs scenarios were simulated per irrigation and the theoretical maps were processed for implementation. The application maps fitted to the VRFM showed significant spatiotemporal variations in irrigation requirements. For instance, in Field 1, 3-MZ modelling showed that the areas requiring high (H), medium (M), and low (L)-level irrigation on 21 July were 1.60, 4.84, and 1.85 ha, respectively, even though the farmer applied uniform rate over the whole field. H-level sub-areas ranged between 1.22 ha (25 July) and 3.25 ha (7 July), showing a coefficient of variation (CV) of 43.32% for the three MZs, whereas H-level sub-areas for the five MZs varied from 0.41 ha (2 July) to 1.49 ha (7 July) with a CV value of 48.84%. High levels of within-field variability can be addressed using precise and dynamic irrigation MZs fitted to the irrigation technology used.}},
articleno = {{19}},
author = {{Bantchina, Bere Benjamin and Gündoğdu, Kemal Sulhi and Arslan, Selçuk and Ulusoy, Yahya and Tekin, Yücel and Pantazi, Xanthoula Eirini and Dolaptsis, Konstantinos and Paraskevas, Charalampos and Tziotzios, Georgios and Qaswar, Muhammad and Mouazen, Abdul}},
issn = {{2571-8789}},
journal = {{SOIL SYSTEMS}},
keywords = {{irrigation,maize,management zones,variable rate irrigation,wireless soil moisture sensor,cloud,MANAGEMENT}},
language = {{eng}},
number = {{1}},
pages = {{23}},
title = {{Spatiotemporal modeling of soil water dynamics for site-specific variable rate irrigation in maize}},
url = {{http://doi.org/10.3390/soilsystems8010019}},
volume = {{8}},
year = {{2024}},
}
- Altmetric
- View in Altmetric