Το IRMA_SYS επιλέχθηκε ως μελέτη περίπτωσης και βέλτιστη πρακτική από την ITU και τον FAO
2023
Gebresenbet, Girma; Bosona, Techane; Patterson, David; Persson, Henrik; Fischer, Benjamin; Mandaluniz, Nerea; Chirici, Gherardo; Zacepins, Aleksejs; Komasilovs, Vitalijs; Pitulac, Tudor; Nasirahmadi, Abozar
A concept for application of integrated digital technologies to enhance future smart agricultural systems Journal Article
In: Smart Agricultural Technology, vol. 5, 2023, ISSN: 2772-3755.
Links | Ετικέτες: References to IRMA_SYS
@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}
}
Donati, Itzel Inti Maria; Viaggi, Davide; Srdjevic, Zorica; Srdjevic, Bojan; Fonzo, Antonella Di; Giudice, Teresa Del; Cimino, Orlando; Martelli, Andrea; Marta, Anna Dalla; Henke, Roberto; Altobelli, Filiberto
An Analysis of Preference Weights and Setting Priorities by Irrigation Advisory Services Users Based on the Analytic Hierarchy Process Journal Article
In: Agriculture, vol. 13, no. 8, 2023, ISSN: 2077-0472.
Abstract | Links | Ετικέτες: References to IRMA_SYS
@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}
}
Koliopanos, Chris; Tsirogiannis, Ioannis; Malamos, Nikolaos
The 7th International Electronic Conference on Water Sciences, vol. Volume 19, Environmental Sciences Proceedings MDPI, 2023.
@conference{Koliopanos2023,
title = {Challenges of Estimation Precision of Irrigation Water Management Parameters Based on Data from Reference Agrometeorological Stations},
author = {Chris Koliopanos and Ioannis Tsirogiannis and Nikolaos Malamos},
doi = {10.3390/ecws-7-14319},
year = {2023},
date = {2023-04-03},
urldate = {2023-04-03},
booktitle = {The 7th International Electronic Conference on Water Sciences},
volume = {Volume 19},
publisher = {MDPI},
organization = {Environmental Sciences Proceedings},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {conference}
}
Tsirogiannis, Ioannis L.; Malamos, Nikolaos; Baltzoi, Penelope
In: Horticulturae, vol. 9, no. 2, pp. 267, 2023, ISSN: 2311-7524.
Abstract | Links | Ετικέτες: IRMA_SYS
@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}
}
2022
Campana, P. E.; Lastanao, P.; Zainali, S.; Zhang, J.; Landelius, T.; Melton, F.
Towards an operational irrigation management system for Sweden with a water–food–energy nexus perspective Journal Article
In: Agricultural Water Management, vol. 271, 2022, ISSN: 0378-3774.
Links | Ετικέτες: References to IRMA_SYS
@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}
}
Tsirogiannis, I. L.; Baltzoi, P.; Fotia, K.; Barouchas, P.; Christofides, A.; Malamos, N.
Evaluation of an operational participatory system for irrigation recommendations – case study for kiwifruit crop in Greece Journal Article
In: Acta Horticulturae, no. 1335, pp. 523–526, 2022, ISSN: 0567-7572, 2406-6168.
Abstract | Links | Ετικέτες: IRMA_SYS
@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}
}
Koulouris, Dimitrios; Tsirogiannis, Ioannis L; Malamos, Nikolaos
Remote Sensing Vegetation Indices: Evaluation on a Mandarin Orchard Proceedings Article
In: HAICTA 2022, pp. 591, CEUR Workshop Proceedings, Athens, Greece, 2022.
Abstract | Links | Ετικέτες: IRMA_SYS
@inproceedings{koulouris_remote_2022,
title = {Remote Sensing Vegetation Indices: Evaluation on a Mandarin Orchard},
author = {Dimitrios Koulouris and Ioannis L Tsirogiannis and Nikolaos Malamos},
url = {https://ceur-ws.org/Vol-3293/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {HAICTA 2022},
volume = {3293},
pages = {591},
publisher = {CEUR Workshop Proceedings},
address = {Athens, Greece},
abstract = {Precision agriculture involves modern crop surveillance methods, such as spectral vegetation indices via satellite remote sensing. This study examines the performance of Normalized Difference Vegetation Index (NDVI) and Normal Difference Moisture Index (NDMI) spectral indices as irrigation management tools. The IRMA_SYS (https://arta.irmasys.com) intelligent irrigation decision support system for the plain of Arta, which has an area of 45000 hectares, provides means for downloading the above-mentioned indices for each field. These indices are obtained from the available Sentinel-2 satellite images i.e., every 2 or 3 days. These images have pixel dimension of 20 m that attains the spatial accuracy of each spectral index.},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {inproceedings}
}
Malamos, Nikolaos; Chalvantzis, Christos; Tsirogiannis, Ioannis L
Operation of a Digital Advisory Service for Irrigation Water Management: Case Study for Maize and Alfalfa Crops in Greece Proceedings Article
In: HAICTA 2022, pp. 591, CEUR Workshop Proceedings, Athens, Greece, 2022.
Abstract | Links | Ετικέτες: IRMA_SYS
@inproceedings{malamos_operation_2022,
title = {Operation of a Digital Advisory Service for Irrigation Water Management: Case Study for Maize and Alfalfa Crops in Greece},
author = {Nikolaos Malamos and Christos Chalvantzis and Ioannis L Tsirogiannis},
url = {https://ceur-ws.org/Vol-3293/},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {HAICTA 2022},
volume = {3293},
pages = {591},
publisher = {CEUR Workshop Proceedings},
address = {Athens, Greece},
abstract = {Efficient ICT tools covering extensive areas consist important tools for tackling poor efficiency in participatory irrigation networks. IRMA_SYS, a climate smart irrigation DSS that assists implementation of good agricultural practices regarding the use of irrigation water without requiring in-situ equipment installation, is implemented to document irrigation practices for maize and alfalfa applied by the farmers of the Land Reclamation Organization of Poros, located at Ioannina, Epirus. The evaluation of the estimated irrigation timing yielded from IRMA_SYS against the actual irrigation dates, demonstrated that in most cases IRMA_SYS spotted the irrigation patterns followed by the farmers, respecting the prevailing weather conditions. For the maize, a ten-day delay was evident between the IRMA_SYS’ output and the first two actual irrigations, while for the rest of the irrigation period the irrigations matched. For the alfalfa, the IRMA_SYS suggested to irrigate earlier and apply smaller amounts of water frequently. The differences can be explained since the farmers irrigate based only on traditional practices and experience, while IRMA_SYS implements a novel soil water budget irrigation scheduling approach.},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {inproceedings}
}
Κουλούρης, Δ.; Τσιρογιάννης, Ι.; Μαλάμος, Ν.
Αξιολόγηση φασματικών δεικτών βλάστησης και υγρασίας σε καλλιέργεια μανταρινιάς ως εργαλεία διαχείρισης της άρδευσης Proceedings Article
In: 15o Πανελλήνιο Συνέδριο Ελληνικής Υδροτεχνικής Ένωσης (Ε.Υ.Ε.) , Θεσσαλονίκη, 2022.
@inproceedings{__2022,
title = {Αξιολόγηση φασματικών δεικτών βλάστησης και υγρασίας σε καλλιέργεια μανταρινιάς ως εργαλεία διαχείρισης της άρδευσης},
author = {Δ. Κουλούρης and Ι. Τσιρογιάννης and Ν. Μαλάμος},
url = {https://irmasys.com/wp-content/uploads/2024/09/2022-EYE-Κουλούρης-κα-IRMA_SYS-Μανταρίνι_small.pdf},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
booktitle = {15o Πανελλήνιο Συνέδριο Ελληνικής Υδροτεχνικής Ένωσης (Ε.Υ.Ε.) },
address = {Θεσσαλονίκη},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {inproceedings}
}
2021
Mamassis, Nikos; Mazi, Katerina; Dimitriou, Elias; Kalogeras, Demetris; Malamos, Nikolaos; Lykoudis, Spyridon; Koukouvinos, Antonis; Tsirogiannis, Ioannis; Papageorgaki, Ino; Papadopoulos, Anastasios; Panagopoulos, Yiannis; Koutsoyiannis, Demetris; Christofides, Antonis; Efstratiadis, Andreas; Vitantzakis, Georgios; Kappos, Nikos; Katsanos, Dimitrios; Psiloglou, Basil; Rozos, Evangelos; Kopania, Theodora; Koletsis, Ioannis; Koussis, Antonis D.
OpenHi.net: A Synergistically Built, National-Scale Infrastructure for Monitoring the Surface Waters of Greece Journal Article
In: Water, vol. 13, no. 19, 2021, ISSN: 2073-4441.
Abstract | Links | Ετικέτες: IRMA_SYS, References to IRMA_SYS
@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}
}
Fotia, Konstantina; Mehmeti, Andi; Tsirogiannis, Ioannis; Nanos, George; Mamolos, Andreas P.; Malamos, Nikolaos; Barouchas, Pantelis; Todorovic, Mladen
In: Water, vol. 13, no. 14, pp. 1954, 2021, ISSN: 2073-4441.
Abstract | Links | Ετικέτες: IRMA_SYS
@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}
}
ITU, FAO
IRMA_SYS, a participatory Decision Support System for irrigation management Book Section
In: Digital excellence in agriculture in Europe and Central Asia: Good practices in the field of digital agriculture – Stocktaking report., pp. 197, ITU, FAO, Geneva, Switzerland, 2021, ISBN: 978-92-5-134794-2.
@incollection{itu_fao_irma_sys_2021,
title = {IRMA_SYS, a participatory Decision Support System for irrigation management},
author = {FAO ITU},
url = {https://doi.org/10.4060/cb6098en},
isbn = {978-92-5-134794-2},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
booktitle = {Digital excellence in agriculture in Europe and Central Asia: Good practices in the field of digital agriculture - Stocktaking report.},
pages = {197},
publisher = {ITU, FAO},
address = {Geneva, Switzerland},
edition = {1},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {incollection}
}
2020
Zinkernagel, Jana; Maestre-Valero, Jose. F.; Seresti, Sogol Y.; Intrigliolo, Diego S.
New technologies and practical approaches to improve irrigation management of open field vegetable crops Journal Article
In: Agricultural Water Management, vol. 242, 2020, ISSN: 0378-3774.
Links | Ετικέτες: References to IRMA_SYS
@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}
}
2019
Trendov, N. M.; Varas, S.; Zeng, M.
Applying smart irrigation system in Greece based on FAO methodology – IRMA_SYS Book Section
In: Digital technologies in agriculture and rural areas – Status report, pp. 152, Rome, Italy, 2019, ISBN: 978-92-5-131546-0.
@incollection{trendov_applying_2019,
title = {Applying smart irrigation system in Greece based on FAO methodology - IRMA_SYS},
author = {N. M. Trendov and S. Varas and M. Zeng},
url = {https://openknowledge.fao.org/handle/20.500.14283/ca4985en},
isbn = {978-92-5-131546-0},
year = {2019},
date = {2019-01-01},
urldate = {2019-01-01},
booktitle = {Digital technologies in agriculture and rural areas - Status report},
pages = {152},
address = {Rome, Italy},
edition = {1},
keywords = {IRMA_SYS},
pubstate = {published},
tppubtype = {incollection}
}
2016
Malamos, Nikolaos; Tsirogiannis, Ioannis L.; Christofides, Antonis
Modelling irrigation management services: the IRMA_SYS case Journal Article
In: International Journal of Sustainable Agricultural Management and Informatics, vol. 2, no. 1, pp. 1, 2016, ISSN: 2054-5819, 2054-5827.
Abstract | Links | Ετικέτες: IRMA_SYS
@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}
}
“Βασίζεται σε διεθνώς αναγνωρισμένα μοντέλα για τον υπολογισμό των απαιτήσεων των καλλιεργειών σε νερό”