Browsing by Author "Rushda Sharf, Yusra Sharf"

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    AIoT in Environmental Sustainability
    (IGI Global, 2025) Rushda Sharf, Yusra Sharf
    To address the majority of environmental sustainability issues, like transportation, energy, water management, and biodiversity, artificial intelligence (AI) has grown in importance. The primary focus areas in energy are area neural networks, expert systems, fuzzy logic models, and pattern recognition. This chapter assesses how the use of AI could improve the environment by reducing the effects of agriculture, climate change, water resources, weather forecasting, ocean health, and disaster resilience. The impact of AI on the environment and its sustainable applications are examined in this chapter using qualitative analysis. With an emphasis on AI's role in advancing environmental sustainability, the chapter's main goal is to identify applications of AI for environmentally friendly practices. It can help stakeholders understand international initiatives to improve environmental sustainability by utilizing AI.