Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato

Linker, Raphael; Ioslovich, Ilya; Sylaïos, Georgios; Plauborg, Finn; Battilani, A.

doi:10.1016/j.agwat.2015.09.011

Cited by 108 publications

(44 citation statements)

References 22 publications

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“…The AquaCrop model is an important tool with a major focus on increasing the number of irrigated zones and water consumption (da Silva, ). Recognizing the capabilities of AquaCrop, different research studies have assessed its application for the development of irrigation approaches (Linker et al, ; Linker and Ioslovich, ; Umair et al, ; Ojeda et al, ).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Soomro

Alaghmand

Shahid

et al. 2019

Irrigation and Drainage

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The agricultural sector, globally, faces multifaceted challenges to produce more with a minimum amount of water to enhance water productivity (WP). In this regard, crop modelling is an efficient approach for estimating WP and plays a significant role in addressing water management strategies. The present research has been conducted in Malir, Karachi—a semi‐arid region in the Sindh Province of Pakistan. The aim was to evaluate the effects of two different qualities of irrigation water including, fresh quality (IT1 0.56 dS m−1) and saline groundwater (IT2 2.89 dS m−1) on canopy cover (CC), biomass, crop yield and water productivity (WP) of bitter‐gourd. The AquaCrop model was used for the first time for bitter gourd in a semi‐arid region under drip irrigation. Simulations were carried out for two cropping seasons (i.e. season one (summer) and season two (winter). The modelled values were slightly higher than the measured biomass and yield values in both calibration and validation procedures. The performance of the AquaCrop model was estimated through different statistical indicators such as model efficiency (E), root mean square error (RMSE), and index of agreement (dindex). These indicators revealed that the model simulated bitter gourd biomass and crop yield well. In addition, the model's performance was good under all irrigation treatments, with RMSE in the range 1.2–3.7, 0.5–1.8, dindex 0.94–0.98 and E 0.93–0.97. The model also overestimated the biomass and crop yield. Overall, the AquaCrop model overestimated biomass and crop yield for both seasons. © 2019 John Wiley & Sons, Ltd.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Soomro

Alaghmand

Shahid

et al. 2019

Irrigation and Drainage

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“…Numerical models constitute an efficient tool for assessing irrigation scheduling (Linker et al, 2016;Ma et al, 2015). 80…”

Section: Introductionmentioning

confidence: 99%

Combined Simulation and Optimization Framework for Irrigation Scheduling in Agriculture Fields

Fontanet

Fernàndez-García

Rodrigo³

et al. 2020

Preprint

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In the context of growing evidence of climate change and the fact that agriculture uses about 70% of all the water available for irrigation in semi-arid areas, there is an increasing probability of water scarcity scenarios. Water irrigation 10 optimization is therefore one of the main goals of researchers and stakeholders involved in irrigated agriculture. Irrigation scheduling is often conducted based on simple water requirement calculations without accounting for the strong link between water movement in the root zone, soil-water-crop productivity and irrigation expenses. In this work, we present a combined simulation and optimization framework aimed at estimating irrigation parameters that maximize the crop net margin. The simulation component couples the movement of water in a variably saturated porous media driven by irrigation with crop 15 water uptake and crop yields. The optimization component assures maximum gain with minimum cost of crop production during a growing season. An application of the method demonstrates that an optimal solution exists and substantially differs from traditional methods. In contrast to traditional methods, results show that the optimal irrigation scheduling solution prevents water logging and provides a more constant value of water content during the entire growing season within the root zone. As a result, in this case, the crop net margin cost exhibits a substantial increase with respect to the traditional method. 20The optimal irrigation scheduling solution is also shown to strongly depend on the particular soil hydraulic properties of the given field site.

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“…For the third point, we estimated a crop-water production function by running iteratively AQUACROP for each state of the nature for both soils with high WHC and soils with low WHC, gradually reducing the use of water for irrigation, following the methodology recently implemented by Linker et al [46]. In such a way, we obtained the set of production functions reported in Appendix A.…”

Section: Pilot Economic Evaluationmentioning

confidence: 99%

“…We recall that the assessment example is offered for processing tomatoes cultivated in Mirandola, northern Italy (Latitude: 44.8851500, Longitude: 11.0690200). Specifically, we run AQUACROP using available processing tomato crop parameters for that region [46] and local historical weather information calculating water requirements for a 20-year interval. With such information, we then computed a probability density function, assuming a normal distribution and we defined three state of the nature: "need less water than usual", "need water as usual", and "need more water than usual".…”

Section: Appendix Amentioning

confidence: 99%

“…The decision to select such location and crop for our analysis is motivated by the availability of information. Specifically, we used: (1) the tomato model parameters published by Linker et al [46]; (2) a historical series of climatic data from the past 20 years (1993 to 2013) collected by a local meteorological station, available online [47]; and (3) other techno-economic information from the technical literature [48].…”

Section: Pilot Economic Evaluationmentioning

confidence: 99%

See 1 more Smart Citation

Assessing the Potential Economic Viability of Precision Irrigation: A Theoretical Analysis and Pilot Empirical Evaluation

Galioto

Raggi

Viaggi

2017

Water

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Abstract:The present study explores the value generated by the use of information to rationalize the use of water resources in agriculture. The study introduces the value of information concept in the field of irrigation developing a theoretical assessment framework to evaluate whether the introduction of "Precision Irrigation" (PI) practices can improve expectations on income. This is supported by a Stakeholders consultation and by a numerical example, using secondary data and crop growth models. The study reveals that the value generated with the transition to PI varies with pedo-climate, economic, technological and other conditions, and it depends on the initial status of the farmer's information environment. These factors affect the prerequisite needed to make viable PI. To foster the adoption of PI, stakeholders envisaged the need to set up free meteorological information and advisory service that supports farmers in using PI, as well as other type of instruments. The paper concludes that the profitability of adoption and the relevant impact on the environment cannot be considered as generally given, but must be evaluated case by case justifying (or not) the activation of specific agricultural policy measures supporting PI practices to target regions.

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Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato

Cited by 108 publications

References 22 publications

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Evaluation of Aquacrop Model in Simulating Bitter Gourd Water Productivity Under Saline Irrigation

Combined Simulation and Optimization Framework for Irrigation Scheduling in Agriculture Fields

Assessing the Potential Economic Viability of Precision Irrigation: A Theoretical Analysis and Pilot Empirical Evaluation

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