Designing a Cross-Platform Application That Employs Multi-Criteria Decision Making for Estimating the Value of Monumental Trees

The rich history of the olive tree is deeply connected to the heritage of the Mediterranean region. There are olive trees that are still productive and their age has been calculated by the use of methods of increment core sampling, radiocarbon dating (C14) and luminescence dating (OSL) to be over two thousand years old. However, the age of these trees is not usually known and it is not easy to calculate. As a result, deciding whether an olive tree is monumental is a rather complicated task. The goal of this paper is to present the design and implementation of an intelligent system that uses multi-criteria decision-making to evaluate olive trees and make the decision of whether they are monumental. This information is further used by a system to decide whether an olive grove is monumental or not. The methodology is implemented in a cross-platform application called “Olea App”. The system evaluates different olive trees and evaluates trees and olive groves to select the one that is considered the best to be promoted. The system uses and combines three different multi-criteria decision-making theories, namely, analytical hierarchy process (AHP), simple additive weighting (SAW), and multicriteria optimization and compromise solution (VIKOR) and evaluates olive trees based on tangible and intangible criteria. The method proposed was used to evaluate trees in the Ionian Islands and has proven very effective. The cross-platform application could be used by other researchers to evaluate their olive trees and groves if they cannot apply methods for the estimation of the tree’s age such as the methods of OSL. This work introduces a novel, technology-driven solution for the identification, evaluation, and preservation of monumental olive trees. By integrating scientific, cultural, and technological perspectives, the study provides a sustainable and accessible methodology to ensure these ancient natural landmarks are protected for future generations. The Olea app represents a significant advancement in heritage tree conservation, offering a structured, transparent, and scalable approach to preserving olive tree ecosystems while supporting sustainable tourism and economic incentives for their protection.

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Publication Details

Journal
Applied Sciences
Published
2025-03-19
DOI
https://doi.org/10.3390/app15063353
Citations
2
Primary Topic
Economic and Environmental Valuation
Type
article
Field-Weighted Citation Impact
6.26
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article

Designing a Cross-Platform Application That Employs Multi-Criteria Decision Making for Estimating the Value of Monumental Trees

Aristotelis Martinis, Charikleia Minotou, Athanasios Botonis, Katerina Kabassi et al.
2 citations
Applied Sciences
Economic and Environmental Valuation
6.26
article

Designing a Cross-Platform Application That Employs Multi-Criteria Decision Making for Estimating the Value of Monumental Trees

Aristotelis Martinis, Charikleia Minotou, Athanasios Botonis, Katerina Kabassi, Konstantinos Asiklaris
article en
2 citations

Abstract

The rich history of the olive tree is deeply connected to the heritage of the Mediterranean region. There are olive trees that are still productive and their age has been calculated by the use of methods of increment core sampling, radiocarbon dating (C14) and luminescence dating (OSL) to be over two thousand years old. However, the age of these trees is not usually known and it is not easy to calculate. As a result, deciding whether an olive tree is monumental is a rather complicated task. The goal of this paper is to present the design and implementation of an intelligent system that uses multi-criteria decision-making to evaluate olive trees and make the decision of whether they are monumental. This information is further used by a system to decide whether an olive grove is monumental or not. The methodology is implemented in a cross-platform application called “Olea App”. The system evaluates different olive trees and evaluates trees and olive groves to select the one that is considered the best to be promoted. The system uses and combines three different multi-criteria decision-making theories, namely, analytical hierarchy process (AHP), simple additive weighting (SAW), and multicriteria optimization and compromise solution (VIKOR) and evaluates olive trees based on tangible and intangible criteria. The method proposed was used to evaluate trees in the Ionian Islands and has proven very effective. The cross-platform application could be used by other researchers to evaluate their olive trees and groves if they cannot apply methods for the estimation of the tree’s age such as the methods of OSL. This work introduces a novel, technology-driven solution for the identification, evaluation, and preservation of monumental olive trees. By integrating scientific, cultural, and technological perspectives, the study provides a sustainable and accessible methodology to ensure these ancient natural landmarks are protected for future generations. The Olea app represents a significant advancement in heritage tree conservation, offering a structured, transparent, and scalable approach to preserving olive tree ecosystems while supporting sustainable tourism and economic incentives for their protection.

Applied SciencesVol. 15(6)
Ionian University (GR), Hellenic Open University (GR)
Openalex Percentile: Top 5%
Economic and Environmental Valuation
6.26
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