Documentation

@article{Vantarakis2025,

title = {Assessing site-specific water footprint on dry vine products: the case of PDO Vostizza Corinthian currants},

author = {Georgios C. Vantarakis and Nikolaos Malamos and Konstadinos Abeliotis and Vaios T. Karathanos},

doi = {10.1007/s41207-025-00733-1},

issn = {2365-7448},

year  = {2025},

date = {2025-02-03},

urldate = {2025-02-03},

journal = { Euro-Mediterranean Journal for Environmental Integration},

publisher = {Springer Science and Business Media LLC},

abstract = {<jats:title>Abstract</jats:title>

          <jats:p>Environmental performance of food and beverages is inextricably linked to the sustainable management of water resources. Water consumption is thoroughly analysed by calculating direct and indirect water usage through the water footprint model, particularly for products that are meant for export. Whilst the water-intensive grape growing industry has been extensively studied for wine production, the water use for grapes intended for drying has not been evaluated. PDO Vostizza Corinthian currants primarily export raisins that are derived from grape varieties in SW Greece that have a long history of economic, cultural, and social importance. Despite studies on the water consumption of grapevines for wine production, there is a gap in research for raisin vineyards. The water footprint model was utilised to comprehensively calculate the water usage in food production, considering direct and indirect consumption through blue, green, and grey components. This study specifically focussed on assessing the water footprint in 1 kg of currants produced on semi-mountainous and mountainous fields over a 3-year period with varying precipitation patterns. The study uses precision agriculture techniques with field-level data and modelling a site-specific water footprint estimation. Actual local and field data were used to calculate the reference evapotranspiration (ETo) using CROPWAT 8.0. The water footprints of five scenarios were calculated to encompass common practises and soil-climatic differences in the cultivation area. The Water Footprints (WFs) of vineyards under water stress ranged from 567 to 1,182 m<jats:sup>3</jats:sup>tn<jats:sup>−1</jats:sup> for dry grapes and from 178 to 346 m<jats:sup>3</jats:sup>tn<jats:sup>−1</jats:sup> for fresh grapes depending on the scenario and year of production due to fluctuations in yield and precipitation. The significant climatic adaptation of <jats:italic>Vitis vinifera L. sp. black Corinth, var. Apyrena</jats:italic> resulted in low WFs in consistent with its overall environmental performance.</jats:p>},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Petraki2025,

title = {Digital Tools and Decision Support Systems in Agroecology: Benefits, Challenges, and Practical Implementations},

author = {Dimitra Petraki and Ioannis Gazoulis and Metaxia Kokkini and Marios Danaskos and Panagiotis Kanatas and Andreas Rekkas and Ilias Travlos},

doi = {10.3390/agronomy15010236},

issn = {2073-4395},

year  = {2025},

date = {2025-01-18},

journal = {Agronomy},

volume = {15},

number = {1},

publisher = {MDPI AG},

abstract = {<jats:p>Farmers are increasingly faced with challenges such as climate change, population growth, and the need for sustainable food production, while simultaneously having to address the environmental impacts of conventional agriculture. Agroecology has emerged as a holistic and sustainable approach to agriculture, integrating environmental, social, and economic principles. This study investigates the role of digital tools, including decision support systems (DSSs), in supporting agroecological transitions. Through a literature review and analysis of case studies, this paper examines the benefits and challenges associated with the adoption of digital tools in agroecology, highlighting their potential to promote sustainable practices such as soil and water management, pest control, and efficient resource use. The findings indicate that while digital solutions offer significant potential to enhance productivity and improve environmental outcomes, their adoption remains limited due to barriers such as low digital literacy, lack of infrastructure, and concerns about effectiveness in real-world farming conditions. Despite these challenges, digital solutions offer significant potential to enhance productivity, improve environmental outcomes, and support farmers’ decision-making. To comprehensively understand their benefits, a holistic approach is necessary, combining digital tools with hands-on training, policy support, and ongoing research. This paper highlights the role of digital tools in agroecology, explores their benefits and challenges, and discusses the need for continued research to assess their long-term potential in terms of the agroecological transition.</jats:p>},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Xing2024,

title = {Precision Agriculture and Water Conservation Strategies for Sustainable Crop Production in Arid Regions},

author = {Yingying Xing and Xiukang Wang},

doi = {10.3390/plants13223184},

issn = {2223-7747},

year  = {2024},

date = {2024-11-13},

urldate = {2024-11-13},

journal = {Plants},

volume = {13},

number = {22},

publisher = {MDPI AG},

abstract = {The intensifying challenges posed by global climate change and water scarcity necessitate enhancements in agricultural productivity and sustainability within arid regions. This review synthesizes recent advancements in genetic engineering, molecular breeding, precision agriculture, and innovative water management techniques aimed at improving crop drought resistance, soil health, and overall agricultural efficiency. By examining cutting-edge methodologies, such as CRISPR/Cas9 gene editing, marker-assisted selection (MAS), and omics technologies, we highlight efforts to manipulate drought-responsive genes and consolidate favorable agronomic traits through interdisciplinary innovations. Furthermore, we explore the potential of precision farming technologies, including the Internet of Things (IoT), remote sensing, and smart irrigation systems, to optimize water utilization and facilitate real-time environmental monitoring. The integration of genetic, biotechnological, and agronomic approaches demonstrates a significant potential to enhance crop resilience against abiotic and biotic stressors while improving resource efficiency. Additionally, advanced irrigation systems, along with soil conservation techniques, show promise for maximizing water efficiency and sustaining soil fertility under saline–alkali conditions. This review concludes with recommendations for a further multidisciplinary exploration of genomics, sustainable water management practices, and precision agriculture to ensure long-term food security and sustainable agricultural development in water-limited environments. By providing a comprehensive framework for addressing agricultural challenges in arid regions, we emphasize the urgent need for continued innovation in response to escalating global environmental pressures.},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@article{Papadopoulos2024,

title = {Economic and environmental benefits of digital agricultural technologies in crop production: A review},

author = {George Papadopoulos and Simone Arduini and Havva Uyar and Vasilis Psiroukis and Aikaterini Kasimati and Spyros Fountas},

doi = {10.1016/j.atech.2024.100441},

issn = {2772-3755},

year  = {2024},

date = {2024-03-23},

journal = {Smart Agricultural Technology},

volume = {8},

publisher = {Elsevier BV},

keywords = {References to IRMA_SYS},

pubstate = {published},

tppubtype = {article}

}

@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{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{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{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}

}