Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize

Bere Benjamin Bantchina
* ORCID logo ,
Kemal Sulhi Gündoğdu
ORCID logo ,
Selçuk Arslan
,
Yahya Ulusoy
,
Yücel Tekin
,
Xanthoula Eirini Pantazi
ORCID logo ,
Konstantinos Dolaptsis
,
Charalampos Paraskevas
ORCID logo ,
Georgios Tziotzios
,
Muhammad Qaswar
,
Abdul Mounem Mouazen
Version 1 : Received: 22 December 2023 / Approved: 22 December 2023 / Online: 25 December 2023 (03:38:10 CET)

A peer-reviewed article of this Preprint also exists.

Bantchina, B.B.; Gündoğdu, K.S.; Arslan, S.; Ulusoy, Y.; Tekin, Y.; Pantazi, X.E.; Dolaptsis, K.; Paraskevas, C.; Tziotzios, G.; Qaswar, M.; Mouazen, A.M. Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize. Soil Syst. 2024, 8, 19. Bantchina, B.B.; Gündoğdu, K.S.; Arslan, S.; Ulusoy, Y.; Tekin, Y.; Pantazi, X.E.; Dolaptsis, K.; Paraskevas, C.; Tziotzios, G.; Qaswar, M.; Mouazen, A.M. Spatiotemporal Modeling of Soil Water Dynamics for Site-Specific Variable Rate Irrigation in Maize. Soil Syst. 2024, 8, 19.

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 4-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 in 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-MZs modelling showed that the areas requiring High (H), Medium (M), and Low (L) level irrigation on July 21 were 1.60, 4.84, and 1.85 ha, respectively, whereas the farmer applied uniform rate over the whole field. H level sub-areas ranged between 1.22 ha (July 25) and 3.25 ha (July 7), showing a coefficient of variation (CV) of 43.32% for the 3-MZs, whereas H level sub-areas for 5-MZs varied from 0.41 ha (July 2) to 1.49 ha (July 7) 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

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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