Integrating Artificial Intelligence into Environmental Stewardship: Toward a Sustainable Future

Author(s)	Dr. Nayunigari Vijaya Lakshmi
Country	India
Abstract	Artificial Intelligence (AI) is rapidly becoming a cornerstone technology for achieving ecological sustainability. From optimizing energy systems and reducing agricultural waste to monitoring biodiversity and predicting climate risks, AI enables data-driven decision making that can substantially reduce environmental footprints. This paper reviews AI methods relevant to eco-sustainability, proposes a modular framework — EcoAINet — for integrating sensing, modeling, optimization, and policy feedback, and describes experimental designs and evaluation metrics across three applied domains: (1) renewable energy optimization, (2) precision agriculture and food-waste reduction, and (3) biodiversity monitoring. We present recommended architectures, loss/objective formulations, datasets, baselines, and ethical/regulatory considerations. The work is written to be immediately usable as a seminar paper and a blueprint for follow-on research.
Keywords	Artificial intelligence, sustainability, renewable energy, precision agriculture, biodiversity monitoring, resource optimization, explainability, multi-agent systems.
Field	Physics > Energy
Published In	Volume 6, Issue 6, November-December 2025
Published On	2025-12-24

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