Artificial Intelligence (AI) and modern technologies are revolutionizing forestry and environmental protection. These tools help tackle deforestation, illegal logging, and forest fires by analyzing satellite and drone images, enabling better forest management strategies. AI also plays a crucial role in biodiversity conservation by identifying species, mapping ecosystems, and assessing human impact. In the fight against climate change, AI enhances carbon sink management and land rehabilitation through predictive models and reforestation planning. The integration of Internet of Things (IoT) and data analytics further improves monitoring by providing real-time insights on soil conditions, moisture, and tree growth, leading to adaptive environmental policies. AI-driven predictive modeling ensures sustainable logging while maximizing economic benefits with minimal environmental impact. Additionally, AI-powered data helps policymakers create balanced strategies that support both environmental conservation and human development. However, challenges like ethical concerns, privacy, and global accessibility must be addressed. Moving forward, the fusion of AI, IoT, and big data will transform forest management, promoting a future that prioritizes both ecological preservation and societal progress. AI-powered platforms like Global Forest Watch detect illegal deforestation activities in real-time, while IBM’s Green Horizons predict air quality fluctuations with remarkable precision.

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A New Era of Environmental Protection: The AI Revolution

  • P. Devisri,
  • S. Manjula

摘要

Artificial Intelligence (AI) and modern technologies are revolutionizing forestry and environmental protection. These tools help tackle deforestation, illegal logging, and forest fires by analyzing satellite and drone images, enabling better forest management strategies. AI also plays a crucial role in biodiversity conservation by identifying species, mapping ecosystems, and assessing human impact. In the fight against climate change, AI enhances carbon sink management and land rehabilitation through predictive models and reforestation planning. The integration of Internet of Things (IoT) and data analytics further improves monitoring by providing real-time insights on soil conditions, moisture, and tree growth, leading to adaptive environmental policies. AI-driven predictive modeling ensures sustainable logging while maximizing economic benefits with minimal environmental impact. Additionally, AI-powered data helps policymakers create balanced strategies that support both environmental conservation and human development. However, challenges like ethical concerns, privacy, and global accessibility must be addressed. Moving forward, the fusion of AI, IoT, and big data will transform forest management, promoting a future that prioritizes both ecological preservation and societal progress. AI-powered platforms like Global Forest Watch detect illegal deforestation activities in real-time, while IBM’s Green Horizons predict air quality fluctuations with remarkable precision.