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@article{Gebresenbet2023,

title = {A concept for application of integrated digital technologies to enhance future smart agricultural systems},

author = {Girma Gebresenbet and Techane Bosona and David Patterson and Henrik Persson and Benjamin Fischer and Nerea Mandaluniz and Gherardo Chirici and Aleksejs Zacepins and Vitalijs Komasilovs and Tudor Pitulac and Abozar Nasirahmadi},

doi = {10.1016/j.atech.2023.100255},

issn = {2772-3755},

year  = {2023},

date = {2023-09-02},

journal = {Smart Agricultural Technology},

volume = {5},

publisher = {Elsevier BV},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Donati2023,

title = {An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process},

author = {Itzel Inti Maria Donati and Davide Viaggi and Zorica Srdjevic and Bojan Srdjevic and Antonella Di Fonzo and Teresa Del Giudice and Orlando Cimino and Andrea Martelli and Anna Dalla Marta and Roberto Henke and Filiberto Altobelli},

doi = {10.3390/agriculture13081545},

issn = {2077-0472},

year  = {2023},

date = {2023-09-02},

journal = {Agriculture},

volume = {13},

number = {8},

publisher = {MDPI AG},

abstract = {<jats:p>Objective: Stakeholders—farmers from four different European areas (Campania (IT), Kujawsko-Pomorskie (PL), Limburg (NL), Andalusia (ES))—are asked to share, from the OPERA project, their opinions on five criteria that all aim at improving the use of irrigation advisory services (IASs). Each criterion has different characteristics that affect the way farmers rank it. The present study has two objectives. The first is to individuate the priorities of the preferences expressed by the stakeholders. The second objective is to carry out a ranking of the weights of the criteria by case study, ranking the groups and their associated properties among farmers’ profiles. Methods: The answers to 120 questionnaires dispensed to the future users of IASs in the four agricultural sites were analyzed in detail, and then the given priorities were evaluated through the analytic hierarchy process (AHP). The AHP methodology was used to determine the relative weights of the five assessment criteria, and finally, to select the one with major value. Results and conclusions: The results show that A5 (assuring economic sustainability) was the most important criterion. The contributions provided by this study are twofold: Firstly, it presents an application of a methodology that involves the conversion of a linguistic judgement of farmers in a correspondence weight. Secondly, it tackles decision making regarding improving the use of IASs, evaluating the preferences expressed by the stakeholders. Irrigation advisory services can play a key role in assisting users to adopt new techniques and technologies for more efficient water use and increased production.</jats:p>},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{tsirogiannis_application_2023,

title = {Application of a Generic Participatory Decision Support System for Irrigation Management for the Case of a Wine Grapevine at Epirus, Northwest Greece},

author = {Ioannis L. Tsirogiannis and Nikolaos Malamos and Penelope Baltzoi},

url = {https://www.mdpi.com/2311-7524/9/2/267},

doi = {10.3390/horticulturae9020267},

issn = {2311-7524},

year  = {2023},

date = {2023-02-01},

urldate = {2023-02-01},

journal = {Horticulturae},

volume = {9},

number = {2},

pages = {267},

abstract = {In southern Europe, irrigation is the major water user and thus, development of operational tools that support decisions aiming to improve irrigation management, is of great importance. In this study, a web-based participatory decision support system for irrigation management (DSS), based on the principles of UN FAO’s paper 56, without requirement for any special monitoring hardware to be installed in each field, is evaluated for the case of a commercial wine grapevine (Vitis vinifera ‘Vertzami’) located at Epirus (northwest Greece), for two successive years (2021 and 2022). The soil moisture time series that were generated by the DSS’s model were compared to those measured by soil moisture sensors. The Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) ranged between 2.98–3.22% and 3.63–4.06%, respectively, under various irrigation practices and goals. Irrigation resulted very high yields and Crop Water Productivity (WPC) was 20–44% improved when following the DSS’s recommendations. The results also confirm potential pitfalls of sensor-based soil moisture monitoring and rainfall estimations using mathematical models. Finally, the value of water meters as practical sensors, which could support efficient irrigation management, is underlined. In every case, mindful application of decision support systems that require minimum or no hardware to be installed in each field, could extensively support growers and agronomic consultants to test, document and disseminate good practices and calculate environmental indices.},

keywords = {IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Campana2022,

title = {Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective},

author = {P.E. Campana and P. Lastanao and S. Zainali and J. Zhang and T. Landelius and F. Melton},

doi = {10.1016/j.agwat.2022.107734},

issn = {0378-3774},

year  = {2022},

date = {2022-09-02},

journal = {Agricultural Water Management},

volume = {271},

publisher = {Elsevier BV},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{tsirogiannis_evaluation_2022,

title = {Evaluation of an operational participatory system for irrigation recommendations – case study for kiwifruit crop in Greece},

author = {I. L. Tsirogiannis and P. Baltzoi and K. Fotia and P. Barouchas and A. Christofides and N. Malamos},

url = {https://www.actahort.org/books/1335/1335_65.htm},

doi = {10.17660/ActaHortic.2022.1335.65},

issn = {0567-7572, 2406-6168},

year  = {2022},

date = {2022-02-01},

urldate = {2022-02-01},

journal = {Acta Horticulturae},

number = {1335},

pages = {523–526},

abstract = {In Greece – like many Mediterranean countries – irrigation is by far the major water user. In this framework the development of operational tools that support decisions and provide recommendations aiming to improved irrigation management is of great importance. In this study a web-based participatory system for irrigation management (the system hereafter) that operates from 2015 at the plain of Arta (NW Greece) is evaluated for the case of kiwifruit, an evolving crop for the area which is characterized by high water requirements. Water usage and soil moisture were monitored in a typical for the area orchard of Actinidia deliciosa ‘Hayward’, during three irrigation periods (2016, 2017 and 2018). At the same time the system generated recommendations for future irrigation applications, based on the outcomes of a water balance model that followed the principles of FAO’s paper 56. The model took into account: (a) measurements of weather parameters from agrometeorological stations in the area; (b) soil, crop and irrigation system parameters; (c) time and volume of the actual irrigation applications and (d) weather data forecasting. The soil moisture time series that were produced by the system's model were compared to those measured by the soil moisture sensors. The largest root mean square error (RMSE) was found to be 5,1%. It was also found that following the system's recommendations, could lead to significantly fewer irrigation applications and less water usage per year compared to the applied practice.},

keywords = {IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Mamassis2021,

title = {OpenHi.net: A Synergistically Built, National-Scale Infrastructure for Monitoring the Surface Waters of Greece},

author = {Nikos Mamassis and Katerina Mazi and Elias Dimitriou and Demetris Kalogeras and Nikolaos Malamos and Spyridon Lykoudis and Antonis Koukouvinos and Ioannis Tsirogiannis and Ino Papageorgaki and Anastasios Papadopoulos and Yiannis Panagopoulos and Demetris Koutsoyiannis and Antonis Christofides and Andreas Efstratiadis and Georgios Vitantzakis and Nikos Kappos and Dimitrios Katsanos and Basil Psiloglou and Evangelos Rozos and Theodora Kopania and Ioannis Koletsis and Antonis D. Koussis},

doi = {10.3390/w13192779},

issn = {2073-4441},

year  = {2021},

date = {2021-09-02},

journal = {Water},

volume = {13},

number = {19},

publisher = {MDPI AG},

abstract = {<jats:p>The large-scale surface-water monitoring infrastructure for Greece Open Hydrosystem Information Network (Openhi.net) is presented in this paper. Openhi.net provides free access to water data, incorporating existing networks that manage their own databases. In its pilot phase, Openhi.net operates three telemetric networks for monitoring the quantity and the quality of surface waters, as well as meteorological and soil variables. Aspiring members must also offer their data for public access. A web-platform was developed for on-line visualization, processing and managing telemetric data. A notification system was also designed and implemented for inspecting the current values of variables. The platform is built upon the web 2.0 technology that exploits the ever-increasing capabilities of browsers to handle dynamic data as a time series. A GIS component offers web-services relevant to geo-information for water bodies. Accessing, querying and downloading geographical data for watercourses (segment length, slope, name, stream order) and for water basins (area, mean elevation, mean slope, basin order, slope, mean CN-curve number) are provided by Web Map Services and Web Feature Services. A new method for estimating the streamflow from measurements of the surface velocity has been advanced as well to reduce hardware expenditures, a low-cost ‘prototype’ hydro-telemetry system (at about half the cost of a comparable commercial system) was designed, constructed and installed at six monitoring stations of Openhi.net.</jats:p>},

keywords = {IRMA_SYS, References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{fotia_lca-based_2021,

title = {LCA-Based Environmental Performance of Olive Cultivation in Northwestern Greece: From Rainfed to Irrigated through Conventional and Smart Crop Management Practices},

author = {Konstantina Fotia and Andi Mehmeti and Ioannis Tsirogiannis and George Nanos and Andreas P. Mamolos and Nikolaos Malamos and Pantelis Barouchas and Mladen Todorovic},

url = {https://www.mdpi.com/2073-4441/13/14/1954},

doi = {10.3390/w13141954},

issn = {2073-4441},

year  = {2021},

date = {2021-07-01},

urldate = {2021-07-01},

journal = {Water},

volume = {13},

number = {14},

pages = {1954},

abstract = {Olive cultivation is expanding rapidly in the northwestern part of Greece, under both rainfed and irrigated practices. Irrigation can result in larger yields and economic returns, but trade-offs in the water–energy–pollution nexus remain a controversial and challenging issue. This study presents an environmental Life Cycle Assessment (LCA) of Greek olive orchard systems in the plain of Arta (Epirus), comparing rainfed (baseline), Decision Support System (DSS)-based (smart) irrigation practices and farmer experience-based (conventional) irrigation practices. The contributions in this paper are, first, to provide a first quantitative indication of the environmental performance of Greek olive growing systems under different management strategies, and second, to detail the advantages that can be achieved using smart irrigation in olive cultivation in the Greek and Mediterranean contexts. Eighteen midpoints (e.g., climate change, water scarcity, acidification, freshwater eutrophication, etc.), two endpoints (damages on human health and ecosystem quality), and a single score (overall environmental impact) were quantified using the IMPACT World+ life cycle impact assessment method. The LCA model was set up using the OpenLCA software v1.10.3. The functional units were 1 ton of product (mass-based) and 1 ha of cultivated area (area-based) on a cradle-to-farm gate perspective. Irrigated systems had the lowest impacts per mass unit due to higher yields, but showed the highest impacts per cultivated area. The DSS-based irrigation management could reduce water and energy use by 42.1% compared to conventional practices. This is translated into a reduction of 5.3% per 1 ton and 10.4% per 1 ha of the total environmental impact. A sensitivity analysis of impact assessment models demonstrated that the benefits could be up to 18% for 1 ton of product or 22.6% for 1 ha of cultivated land. These results outline that DSS-based irrigation is a promising option to support less resource-intensive and sustainable intensification of irrigated agriculture systems in the plain of Arta.},

keywords = {IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Zinkernagel2020,

title = {New technologies and practical approaches to improve irrigation management of open field vegetable crops},

author = {Jana Zinkernagel and Jose. F. Maestre-Valero and Sogol Y. Seresti and Diego S. Intrigliolo},

doi = {10.1016/j.agwat.2020.106404},

issn = {0378-3774},

year  = {2020},

date = {2020-09-02},

journal = {Agricultural Water Management},

volume = {242},

publisher = {Elsevier BV},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{malamos_modelling_2016,

title = {Modelling irrigation management services: the IRMA_SYS case},

author = {Nikolaos Malamos and Ioannis L. Tsirogiannis and Antonis Christofides},

url = {http://www.inderscience.com/link.php?id=77264},

doi = {10.1504/IJSAMI.2016.077264},

issn = {2054-5819, 2054-5827},

year  = {2016},

date = {2016-01-01},

urldate = {2016-01-01},

journal = {International Journal of Sustainable Agricultural Management and Informatics},

volume = {2},

number = {1},

pages = {1},

abstract = {Since agricultural water use has a substantial share in Greece, irrigation scheduling forecast and management tools constitute significant assets. This study illustrates the concept and implementation of the IRMA_SYS, a regional, user-friendly computer/mobile-based service. IRMA_SYS was implemented as open, fully customisable, modular software capable of estimating field specific crop water requirements and irrigation scheduling at multiple scales, from farm to water basin level. The estimation of irrigation water requirements and irrigation scheduling is based on a modification of the conceptual FAO 56 approach and its tasks are accomplished based on historical and forecast agrometeorological data, along with site specific crop and soil-water data. In this context, IRMA_SYS is addressed to irrigation professionals who have the background and the experience to interpret the information provided and use the system for setting up irrigation schedules, plan and record irrigation events as well as self-training regarding irrigation management.},

keywords = {IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}