Variable Rate Precision Irrigation Technology for Deficit Irrigation of Processing Tomato

Takács, Sándor; Bíró, Tibor; Helyes, Lájos; Pék, Zoltán

doi:10.1002/ird.2299

Cited by 13 publications

(9 citation statements)

References 43 publications

(68 reference statements)

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“…Given this depletion rate, scientists have predicted that 35% of the Southern High Plains will not be able to support irrigation in 30 years. Many other water resources in the world are depleting rapidly in recent years with negligible recharge, indicating the need for water conservation solutions in agriculture [4,5]. More effective and efficient management of water is required to better conserve water and improve water use efficiency for sustainable crop production.…”

Section: Introductionmentioning

confidence: 99%

Agronomic Basis and Strategies for Precision Water Management: A Review

Neupane

Guo

2019

Agronomy

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Agriculture faces the challenge of feeding a growing population with limited or depleting fresh water resources. Advances in irrigation systems and technologies allow site-specific application of irrigation water within the field to improve water use efficiency or reduce water usage for sustainable crop production, especially in arid and semi-arid regions. This paper discusses recent development of variable-rate irrigation (VRI) technologies, data and information for VRI application, and impacts of VRI, including profitability using this technology, with a focus on agronomic factors in precision water management. The development in sprinkler systems enabled irrigation application with greater precision at the scale of individual nozzle control. Further research is required to evaluate VRI prescription maps integrating different soil and crop characteristics in different environments. On-farm trials and whole-field studies are needed to provide support information for practical VRI applications. Future research also needs to address the adjustment of the spatial distribution of prescription zones in response to temporal variability in soil water status and crop growing conditions, which can be evaluated by incorporating remote and proximal sensing data. Comprehensive decision support tools are required to help the user decide where to apply how much irrigation water at different crop growth stages to optimize water use and crop production based on the regional climate conditions and cropping systems.

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Section: Introductionmentioning

confidence: 99%

Agronomic Basis and Strategies for Precision Water Management: A Review

Neupane

Guo

2019

Agronomy

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“…Since the irrigation system was newly installed, the water distribution and transition between zones were evaluated. The results were published in a previous study [30]. The results showed that another treatment could be added to the experiment, so the I75 (75% of I100) was set in 2018 and 2019, modifying the size of treatment plots to 25 m × 50 m. K plots were irrigated only at fertilisation events to wash the granulates off the leaves, thus avoid scorching (26, 28.8, and 22.6 mm irrigation water above precipitation was applied in 2017, 2018, and 2019, respectively).…”

Section: Irrigation System Methods and Treatmentsmentioning

confidence: 86%

“…Deficit irrigation is commonly used as an irrigation water-saving strategy in the practice of processing tomato production [30]. Water use efficiency increases due to mild and moderate water stress [38], and this method also contributes to the reduction of irrigation costs [39].…”

Section: Discussionmentioning

confidence: 99%

Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling

Takács

Csengeri

Pék

et al. 2021

Water

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A three-year long experiment was conducted on open-field tomato with different levels of water shortage stress. Three different water supply levels were set in 2017 and four levels for 2018 and 2019. Biomass and yield data were collected, along with leaf-temperature-based stress measurements on plants. These were used for calibration and validation of the AquaCrop model. The validation gave various results of biomass and yield simulation during the growing season. The largest errors in the prediction occurred in the middle of the growing seasons, but the simulation became more accurate at harvest in general. The prediction of final biomass and yields were good according to the model evaluation indicators. The relative root mean square error (nRMSE) was 12.1 and 13.6% for biomass and yield prediction, respectively. The modeling efficiency (EF) was 0.96 (biomass) and 0.99 (yield), and Willmott’s index of agreement (d) was 0.99 for both predicted parameters at harvest. The lowest nRMSE (4.17) was found in the simulation of final yields of 2018 (the calibration year). The best accuracy of the validation year was reached under mild stress treatment. No high correlation was found between the simulated and measured stress indicators. However, increasing and decreasing trends could be followed especially in the severely stressed treatments.

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“…To date, several worthwhile investigations on the uniformity and precision of centre pivot VRI systems have been carried out. Sui and Fisher (2015), Takács et al (2018), Clark et al (2003) and Dukes and Perry (2006) evaluated the Heermann and Hein uniformity coefficient (CUH), Christiansen uniformity coefficient (CUc%) and distribution uniformity coefficient (DU%).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of new pivoting linear‐move precision irrigation machine

Szabó

Tamás

Kövesdi³

et al. 2023

Irrigation and Drainage

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Due to population growth, freshwater resources around the world are becoming increasingly scarce, and the water supply in agriculture has emerged as one of the limitations of food production. Variable‐rate irrigation (VRI), a type of precision irrigation, allows water‐efficient irrigation techniques to ensure an optimal water supply. The University of Debrecen, in collaboration with Magtár Kft., was the first in Hungary to develop a new laterally mobile irrigation machine equipped with VRI. The subject of our study was the testing of this system. According to the research, high and homogeneous irrigation uniformity was achieved in practice, with a Christiansen uniformity coefficient (CUc%) of 93 ± 2, distribution uniformity (DU%) of 88 ± 2 and coefficient of variation (CV) of 9 ± 2. Irrigation accuracy was also found to be satisfactory (mean absolute error 0.6 ± 0.1, mean bias error 0.2 ± 0.2, normalized root mean square error 8.6 ± 2), and only 1.4% ± 2% was overirrigated and 0.4% ± 0.3% underirrigated. In addition, the uniformity and accuracy of irrigation in different management zones along the pipeline were also investigated, and significant differences (p < 0.05) were found between irrigation water depths. Based on the above, a new laterally mobile irrigation machine equipped with VRI can be used to develop more uniform and accurate irrigation schedules in the future in arable fields as this is critical for water‐saving irrigation management.

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Variable Rate Precision Irrigation Technology for Deficit Irrigation of Processing Tomato

Cited by 13 publications

References 43 publications

Agronomic Basis and Strategies for Precision Water Management: A Review

Agronomic Basis and Strategies for Precision Water Management: A Review

Performance Evaluation of AquaCrop Model in Processing Tomato Biomass, Fruit Yield and Water Stress Indicator Modelling

Evaluation of new pivoting linear‐move precision irrigation machine

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