Precision irrigation trends and perspectives: a review

Gundim, Alice da Silva; Melo, Verônica Gaspar Martins Leite de; Coelho, Rubens Duarte; Silva, Janderson Pedro da; Rocha, Marcos Paulo Alves da; França, Ana Carolina Ferreira; Conceição, Ana Michele Pereira da

doi:10.1590/0103-8478cr20220155

Cited by 4 publications

(2 citation statements)

References 129 publications

(103 reference statements)

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“…However, light and heat distributions differed between ridges, resulting in differences in crop growth based on ridge. The current method of average irrigation in solar greenhouses cannot meet the water demand of crops between different ridges, and there is excessive/insufficient water supply in some ridges, affecting crop growth and yield and lowering the efficiency of water use ( Gundim et al., 2023 ). Therefore, based on the change in ridge orientation, ridge irrigation can be carried out according to the environmental differences in crop populations and water consumption.…”

Section: Discussionmentioning

confidence: 99%

The development of variable system-based internet of things for the solar greenhouse and its application in lettuce

Li,

Han,

et al. 2024

Front. Plant Sci.

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The east-west ridge orientation has recently become an important agronomic method to improve mechanization in solar greenhouses. However, these ridge orientation changes shape differences between different ridges in crop water consumption, and there is a lack of research on the regulation and adaptation of water consumption. Therefore, this study introduces a variable irrigation decision-making method based on the Internet of Things management and control system for an east-west ridge orientation. To replenish water on demand, this study seting the variable irrigation decision-making (VRI) methods and traditional average irrigation decision-making (URI) methods in the system, and lettuce cultivation experiments were conducted to verify the effectiveness of the model and system. The results show that the difference of accumulated photosynthetically active radiation is the most significant between different ridges of the east-west ridge orientation, and the coefficient of variation is 43.77 %, which can be used as an activating factor for VRI methods. The irrigation water consumption, yield, water-use efficiencies, and irrigation water utilization of lettuce at different levels of irrigation were 307.12 L/m2, 5854.07 kg·ha-1, 1391.47 kg·ha-1·mm-1, and 7.63 kg·cm-3, respectively. Compared with the URI methods, the VRI method saved 10.02 % of water, increased yield by 9 %, and enhanced water use efficiency and irrigation water use efficiency by 12 % and 21.32 %, respectively. This study provides a new approach for improving crop production efficiency under an east-west ridge orientation.

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Section: Discussionmentioning

confidence: 99%

The development of variable system-based internet of things for the solar greenhouse and its application in lettuce

Li,

Han,

et al. 2024

Front. Plant Sci.

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“…Although previous studies have covered new techniques to apply irrigation water more intelligently, there is still a need to improve the current applications by considering the dynamic variations in irrigation needs within fields more precisely. There have been studies focusing on variable rate irrigation (VRI) using hose reel machines, but they usually use the full-swath width as the lateral resolution [28][29][30][31][32]. There appears to be a research gap regarding improvements in the lateral and longitudinal resolutions of VRI applications using hose reel machines.…”

Section: Introductionmentioning

confidence: 99%

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

Bantchina,

Gündoğdu,

Arslan

et al. 2024

Soil Systems

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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.

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Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties

França,

Coelho,

da Silva Gundim

et al. 2024

Agricultural Water Management

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Precision irrigation trends and perspectives: a review

Cited by 4 publications

References 129 publications

The development of variable system-based internet of things for the solar greenhouse and its application in lettuce

The development of variable system-based internet of things for the solar greenhouse and its application in lettuce

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

Effects of different irrigation scheduling methods on physiology, yield, and irrigation water productivity of soybean varieties

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