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This repository was archived by the owner on Feb 6, 2026. It is now read-only.
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@@ -20,7 +20,7 @@ The current management of urban green areas is often fragmented and inefficient.
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Moreover, the lack of predictive capabilities prevents administrations from anticipating issues such as plant diseases, drought stress, or degradation of public spaces. Decisions are frequently based on limited information and subjective judgment rather than on comprehensive and continuously updated data.
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## Why a Computer-Based System
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## Why a Computer-based System?
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A computer-based system enhanced with AI techniques represents a suitable solution to address these challenges. Such a system can integrate heterogeneous data sources, from environmental sensors to citizen reports, analyze them and provide actionable insights to decision-makers.
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# Goal-Oriented Analysis
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# Goal-oriented Analysis
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## Requirements Elicitation
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-**Scalability:** The system should be able to scale to support different city sizes and increasing volumes of data.
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-**Interoperability:** The system should be able to interoperate with existing information systems used by public administrations.
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### Non-Functional Requirements
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### Non-functional Requirements
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Several non-functional requirements have been identified:
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1.**(G1) Improve Urban Green Areas Quality:** Urban green areas should be maintained in a healthy, safe, and accessible condition.
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2.**(G2) Support Sustainable Urban Development:** Green areas should contribute to environmental sustainability and citizens' well-being.
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3.**(G3) Improve Decision-Making in Public Administration:** Local administrations should make informed and timely decisions regarding maintenance and planning.
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3.**(G3) Improve Decision-making in Public Administration:** Local administrations should make informed and timely decisions regarding maintenance and planning.
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## Goal Refinements
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