Smart energy for smart irrigation

Νασιάκου, Αντωνία; Vavalis, Manolis; Zimeris, Dimitris

doi:10.1016/j.compag.2016.09.008

Cited by 27 publications

(17 citation statements)

References 6 publications

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“…Web platforms funded by either public institutions or private associations to support irrigation programming have become a common tool among technical staff and farmers, many of them accessible by apps for smartphones/tablets, thanks to the exponential development of ICTs in recent years [102]. Irrigation apps allow farmers to visualize the key variables of each event, and even act on the system from almost anywhere, as telecommunication coverage has improved in rural areas.…”

Section: • Management and Control Technologiesmentioning

confidence: 99%

“…These massive data sets (weather, crop, soil, irrigation network operation and even markets data) require storage space (e.g., cloud storage) to be further processed by AI techniques. There are a wide variety of AI techniques, such as artificial neural networks, fuzzy logic, or decision trees, that can be applied separately or combined to improve the accuracy of irrigation programming [98,102].…”

Section: • Management and Control Technologiesmentioning

confidence: 99%

See 1 more Smart Citation

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

García

Lecina²,

Ruiz-Sánchez

et al. 2020

Water

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A growing international human population and rising living standards are increasing the demand for agricultural products. Under higher pressure over natural resources, environmental concerns are increasing as well, challenging current water use decision-making processes in irrigated agriculture. Higher agricultural productivity means water should be applied more efficiently, which requires instant information on weather, soil, and plant conditions throughout the growing season. An information-based irrigation scheduling application tightened to the spatiotemporal variability of the fields is critical for enhancing the current irrigation system and making better irrigation scheduling decisions. The aim of this study is to review current irrigation scheduling methodologies based on two case studies (woody and field crops) located in semi-arid areas of Southeast Spain. We realize that optimal irrigation programming requires consistent investment in equipment, expenditure on operation and maintenance, and qualified technical and maintenance services. These technological approaches will be worthwhile in farms with low water availability, high profitability, and significant technical-economic capacity.

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Section: • Management and Control Technologiesmentioning

confidence: 99%

Section: • Management and Control Technologiesmentioning

confidence: 99%

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

García

Lecina²,

Ruiz-Sánchez

et al. 2020

Water

View full text Add to dashboard Cite

show abstract

“…Likewise, the EMS must be considered one of the elements to be designed. Moreover, the incorporation into the EMS of smart energy system techniques could further reduce the cost of irrigation [34]. The team of the authors of this paper is preparing a work on the EMS used in the prototype and on a predictive control.…”

Section: Discussionmentioning

confidence: 99%

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

2019

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Standalone renewable energy is widely used to power irrigation systems. However, in agricultural facilities, electricity from the grid and diesel are also consumed. The design and sizing of renewable generation involves difficulties derived from the different seasonal profiles of production and demand. If the generation is 100% renewable, a considerable energy surplus is usually included. This paper is focused on a renewable energy system, which has been installed in a vineyard, located in the northeast of Spain. With energy from the photovoltaic fields, the wastewater treatment plant of the winery, a drip irrigation system and other ancillary consumptions are fed. The favourable effect of combining consumptions with different seasonal profiles is shown. The existence of some deferrable loads and the energy management strategy result in an aggregate consumption curve that is well suited to production. Besides, the required energy storage is relatively small. The surplus energy is used for the on-site production of hydrogen by the electrolysis of water. The hydrogen refuels a hybrid fuel cell electric vehicle, used for the mobility of workers in the vineyard. In summary, electricity and hydrogen are produced on-site (to meet the energy needs) from 100% renewable sources and without operating emissions.

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“…To optimize the infiltration effect of sprinkler irrigation, literatures [13][14][15] demonstrated their innovative developments on the multi-objective effectiveness optimization of crop irrigation; Guan et al [16] mapped the annual effectiveness area of crop cultivation in one specific irrigation district by applying a classifier of plant phenological index; Bargués et al [17] and Nasiakou et al [18] discussed on the parameters of filtered volume and flow outlet in drip irrigation occasions, and the subsurface drip effects for smart irrigation as well. More progresses on this subject could be learned from literatures [19][20][21][22][23] also.…”

Section: Introductionmentioning

confidence: 99%

Influence analysis of sprinkler irrigation effectiveness using ANFIS

Liang

Liu

Wen

et al. 2019

International Journal of Agricultural and Biological Engineering

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In order to improve sprinkler irrigation quality and promote actual irrigation efficiency, the influence analysis of sprinkler irrigation effectiveness (SIE) using ANFIS (Adaptive Neural Fuzzy Inference System) was implemented to balance moisture infiltration and water redistribution in soil field. Firstly, using a detailed description of governing equations proposed for sprinkler irrigation flow, the theoretical foundation and mathematical model of irrigation effectiveness can be established; Secondly, based on a complete preparation of experimental irrigation conditions, a series of calibration indexes quantifying SIE for sprinkler irrigation quality and infiltration efficiency were proposed; Then thirdly, a novel ANFIS system was designed and introduced to evaluate these key effectiveness indexes in actual working operations, so that a series of detailed influence analysis and comprehensive infiltration assessment focusing on sprinkler irrigation effectiveness could be achieved afterwards, which result to the realization of better infiltration equilibrium and higher water redistribution efficiency in actual irrigation test. Therefore, the qualification of sprinkler irrigation effectiveness was achieved, and in addition, the moisture infiltration improvement and soil moisture uniformity were facilitated also in return.

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Smart energy for smart irrigation

Cited by 27 publications

References 6 publications

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

Trends and Challenges in Irrigation Scheduling in the Semi-Arid Area of Spain

Standalone Renewable Energy and Hydrogen in an Agricultural Context: A Demonstrative Case

Influence analysis of sprinkler irrigation effectiveness using ANFIS

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