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Article

Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making

by
Theodoros Chalazas
1,2,*,
Antonis Koukourikos
3,
Jan Bauwens
1,
Nick Berkvens
1,
Jonathan Van Beek
1,
Nikos Kalatzis
4,
George Papadopoulos
5,6,
Panagiotis Ilias
1,
Nikolaos Marianos
4 and
Christopher Brewster
7,8
1
Agrotechnology Unit, Instituut voor Landbouw-, Visserij-en Voedingsonderzoek, Burgemeester Van Gansberghelaan 92, BE 9820 Merelbeke, Belgium
2
Department of Marine Sciences, University of the Aegean, University Hill, 81100 Mytilene, Greece
3
SCiO P.C., Technology Park Lefkippos, P. Grigoriou & Neapoleos Str., 15310 Agia Paraskevi, Greece
4
GreenSupplyChain DIH, Paramithias 39, 10435 Athens, Greece
5
Laboratory of Agronomy, Department of Crop Science, Agricultural University of Athens, 11855 Athens, Greece
6
Laboratory of Agricultural Engineering, Department of Natural Resources Management & Agricultural Engineering, School of Environment and Agricultural Engineering, Agricultural University of Athens, 11855 Athens, Greece
7
Department of Advanced Computing Sciences, Maastricht University, 6200 MD Maastricht, The Netherlands
8
Data Science Group, TNO, Kampweg 55, 3769 DE Soesterberg, The Netherlands
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2025, 14(5), 185; https://doi.org/10.3390/ijgi14050185
Submission received: 25 February 2025 / Revised: 10 April 2025 / Accepted: 19 April 2025 / Published: 25 April 2025
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Abstract

This study introduces a geospatial comprehensive methodological system aimed at evaluating the suitability and need for agricultural digital solutions (ADSs) across Europe. This system integrates a diverse range of factors, including geophysical characteristics, climate patterns, and socioeconomic conditions, evaluated at regional- and farm-specific levels. By leveraging open-source Earth observations and socioeconomic data, we develop multiple performance, environmental, and socioeconomic similarity indexes that compare regions based on shared characteristics, such as soil quality, climate, and socioeconomic factors. Using advanced statistical and multi-criteria analysis tools, these indexes are tailored to different stages of agricultural production, enabling region-specific assessments that identify and prioritize the needs for digital solutions across Europe. The results indicate that the developed indexes effectively categorize regions based on comparable characteristics, facilitating the targeted recommendation of ADSs. Additionally, a connectivity performance index is created to assess the local deployment model of agricultural digital solutions (cloud, edge, or mixed), ensuring that the recommendations for technological implementation are feasible and effective given the local connectivity conditions.
Keywords: agricultural digital solutions (ADSs); geospatial analysis; earth observation; multi-criteria decision-making; sustainable agriculture agricultural digital solutions (ADSs); geospatial analysis; earth observation; multi-criteria decision-making; sustainable agriculture

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MDPI and ACS Style

Chalazas, T.; Koukourikos, A.; Bauwens, J.; Berkvens, N.; Van Beek, J.; Kalatzis, N.; Papadopoulos, G.; Ilias, P.; Marianos, N.; Brewster, C. Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making. ISPRS Int. J. Geo-Inf. 2025, 14, 185. https://doi.org/10.3390/ijgi14050185

AMA Style

Chalazas T, Koukourikos A, Bauwens J, Berkvens N, Van Beek J, Kalatzis N, Papadopoulos G, Ilias P, Marianos N, Brewster C. Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making. ISPRS International Journal of Geo-Information. 2025; 14(5):185. https://doi.org/10.3390/ijgi14050185

Chicago/Turabian Style

Chalazas, Theodoros, Antonis Koukourikos, Jan Bauwens, Nick Berkvens, Jonathan Van Beek, Nikos Kalatzis, George Papadopoulos, Panagiotis Ilias, Nikolaos Marianos, and Christopher Brewster. 2025. "Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making" ISPRS International Journal of Geo-Information 14, no. 5: 185. https://doi.org/10.3390/ijgi14050185

APA Style

Chalazas, T., Koukourikos, A., Bauwens, J., Berkvens, N., Van Beek, J., Kalatzis, N., Papadopoulos, G., Ilias, P., Marianos, N., & Brewster, C. (2025). Geospatial Framework for Assessing the Suitability and Demand for Agricultural Digital Solutions in Europe: A Tool for Informed Decision-Making. ISPRS International Journal of Geo-Information, 14(5), 185. https://doi.org/10.3390/ijgi14050185

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