Study on Computational Intelligence for Planetary Resilience:A Framework for Sustainable Biosphere Stewardship

Authors:

    Article Information:

    Published:December 27, 2025
    Article Type:Original Research
    Pages:1228 - 1235
    Received:November 11, 2025
    Accepted:December 9, 2025

    Abstract:

    The commencement of the 21st century is defined by a convergence of unprecedented environmental pressures. Aggressive industrialization, sustained population growth, and consumption patterns that demonstrably exceed planetary capacity are collectively eroding ecological resilience and pushing global boundaries. This trajectory has resulted in detrimental impacts on delicate ecosystem balances and the integrity of the biosphere itself. The sheer scale and systemic nature of these challenges—which manifest as deforestation, habitat degradation, and climate volatility—necessitate a fundamental transformation in how humanity approaches environmental management. Traditional methods of ecological oversight and resource management are increasingly proving inadequate, characterized by reactive rather than proactive strategies. Addressing this complexity mandates a paradigm shift toward data-driven, sophisticated, and scalable solutions.

    Keywords:

    Artificial Intelligence; Computational Ecology; Biodiversity Conservation; Climate Change Modeling; Remote Sensing; Machine Learning; Deep Learning; Precision Agriculture; Smart Energy Systems; Sustainable Resource Management; Explainable AI (XAI); Environmental Governance; Green AI; Ecosystem Resilience; Biosphere Sustainability

    Article :