Water: Advanced Irrigation Technologies

Hedley, C. B.; Knox, Jerry W.; Raine, Steven R.; Smith, Rod

doi:10.1016/b978-0-444-52512-3.00087-5

Cited by 37 publications

(39 citation statements)

References 148 publications

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“…The absence of surface water sources in a number of communities has further increased the pressure on groundwater resources. This has resulted in the over-abstraction of global groundwater sources which is calculated to be as much as 163 km 3 per annum [2]. A global shortage in freshwater sources is predicted unless action is taken to improve water management and increase water use efficiency.…”

Section: Introductionmentioning

confidence: 99%

“…Irrigated crop production globally extends over 275 million hectares, with an estimated annual increase of 1.3% [2]. Global climate change may further increase irrigation water demand due to a greater variation in annual precipitation amounts [4].…”

Section: Introductionmentioning

confidence: 99%

“…Of the 230 million ha of irrigated land area, 60% is located in China and India [3]. It is estimated that 75% of the grain production in China is dependent on irrigation [2]. Sarma [6] noted that India uses as much as four times more water to produce one unit of a major food crop as compared to the USA and Europe.…”

Section: Introductionmentioning

confidence: 99%

“…Over 80% of freshwater withdrawals in developing countries is applied in irrigation [2]. Irrigated agriculture provides 40% of the world's food from less than 20% of the cultivated area highlighting the importance of irrigation in global food security [3].…”

Section: Introductionmentioning

confidence: 99%

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Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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Globally, the irrigation of crops is the largest consumptive user of fresh water. Water scarcity is increasing worldwide, resulting in tighter regulation of its use for agriculture. This necessitates the development of irrigation practices that are more efficient in the use of water but do not compromise crop quality and yield. Precision irrigation already achieves this goal, in part. The goal of precision irrigation is to accurately supply the crop water need in a timely manner and as spatially uniformly as possible. However, to maximize the benefits of precision irrigation, additional technologies need to be enabled and incorporated into agriculture. This paper discusses how incorporating adaptive decision support systems into precision irrigation management will enable significant advances in increasing the efficiency of current irrigation approaches. From the literature review, it is found that precision irrigation can be applied in achieving the environmental goals related to sustainability. The demonstrated economic benefits of precision irrigation in field-scale crop production is however minimal. It is argued that a proper combination of soil, plant and weather sensors providing real-time data to an adaptive decision support system provides an innovative platform for improving sustainability in irrigated agriculture. The review also shows that adaptive decision support systems based on model predictive control are able to adequately account for the time-varying nature of the soil-plant-atmosphere system while considering operational limitations and agronomic objectives in arriving at optimal irrigation decisions. It is concluded that significant improvements in crop yield and water savings can be achieved by incorporating model predictive control into precision irrigation decision support tools. Further improvements in water savings can also be realized by including deficit irrigation as part of the overall irrigation management strategy. Nevertheless, future research is needed for identifying crop response to regulated water deficits, developing improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

et al. 2017

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“…For example, Smith and Baillie (2009) defined PI to include the accurate and precise application of water to meet specific requirements of individual plants or management units to minimize adverse environmental impact or the application of water to a given site and timing to support optimum crop production, profitability or some other management objective. More recently, the term variable rate irrigation (VRI) is also being used interchangeably with PI (Hedley et al 2014). In this study, that definition by Smith and Baillie (2009) was similarly adopted with the PI concept representing a more holistic and adaptive approach to precision irrigation water management, rather than relating to only one method of application.…”

Section: Introductionmentioning

confidence: 99%

Modelling impacts of precision irrigation on crop yield and in-field water management

et al. 2017

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Precision irrigation technologies are being widely promoted to resolve challenges regarding improving crop productivity under conditions of increasing water scarcity. In this paper, the development of an integrated modelling approach involving the coupling of a water application model with a biophysical crop simulation model (Aquacrop) to evaluate the in-field impacts of precision irrigation on crop yield and soil water management is described. The approach allows for a comparison between conventional irrigation management practices against a range of alternate so-called 'precision irrigation' strategies (including variable rate irrigation, VRI). It also provides a valuable framework to evaluate the agronomic (yield), water resource (irrigation use and water efficiency), energy (consumption, costs, footprint) and environmental (nitrate leaching, drainage) impacts under contrasting irrigation management scenarios. The approach offers scope for including feedback loops to help define appropriate irrigation management zones and refine application depths accordingly for scheduling irrigation. The methodology was applied to a case study in eastern England to demonstrate the utility of the framework and the impacts of precision irrigation in a humid climate on a high-value field crop (onions). For the case study, the simulations showed how VRI is a potentially useful approach for irrigation management even in a humid environment to save water and reduce deep percolation losses (drainage). It also helped to increase crop yield due to improved control of soil water in the root zone, especially during a dry season.

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Integrating fuzzy cognitive maps and multi-agent systems for sustainable agriculture

Bahri

Mourhir

Papageorgiou

2020

Euro-Mediterr J Environ Integr

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Water: Advanced Irrigation Technologies

Cited by 37 publications

References 148 publications

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Advanced Monitoring and Management Systems for Improving Sustainability in Precision Irrigation

Modelling impacts of precision irrigation on crop yield and in-field water management

Integrating fuzzy cognitive maps and multi-agent systems for sustainable agriculture

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