AI-BASED PREDICTION OF CULTURAL HERITAGE ARTIFACT DETERIORATION DUE TO WEATHER CONDITIONS IN INDIA

Le résumé fourni par la source

The preservation of cultural heritage artifacts is a critical concern, particularly in a country like India, where diverse climatic conditions—including extreme temperatures, humidity variations, and pollution—can accelerate their deterioration. Traditional conservation techniques, while effective, often lack the predictive capabilities necessary to mitigate potential damage proactively. Recent advancements in artificial intelligence (AI) have opened new possibilities for enhancing heritage conservation by forecasting environmental threats and deterioration patterns. This review paper explores scholarly research published between 2019 and 2022 on AI applications in predicting and mitigating the degradation of cultural artifacts in India. It examines key methodologies such as machine learning algorithms, deep learning models, and sensor-based AI systems used to analyze weather patterns, air quality, and material degradation. The paper also discusses challenges in AI-driven conservation, including data availability, model accuracy, and the integration of AI with existing heritage management practices.Despite these challenges, AI-driven approaches offer significant potential for improving the efficiency and precision of conservation efforts. By providing early warnings and predictive insights, AI can aid heritage professionals in making informed decisions to preserve historical artifacts more effectively.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.