In the face of challenges like climate change and natural disasters, the integration of AI, IoT, and Earth Sciences transforms our understanding of the earth. This chapter looks into how these technologies enhance decision-making, predictive modeling, and environmental monitoring. With its ability to process large datasets, AI can identify patterns that a human cannot see, allowing for more accurate climate models and earlier disaster alerts. This is enhanced with IoT, connecting networks of intelligent sensors and gadgets to enable real-time data gathering even from the most remote locations. Satellite remote sensing, environmental monitoring, and disaster risk management represent the current applications that reflect the revolutionizing power of AI and IoT. The newer areas in machine learning, edge computing, and sensor technologies will provide new and innovative tools for anticipating and reducing the dangers of the environment as well as enhancing resource management. The chapter advocates for managed steps that will enable these technologies to be used over the long term. Research, policymakers, and industry leaders should build robust legislative bodies that address issues such as accessibility, privacy, and security of data. Stakeholders should optimize the benefits of AI and IoT while reducing hazards by encouraging ethical innovation. While these technologies open new horizons with such tremendous potential, ethical integration provides the necessity for uprooting urgent global concerns and responsible development of the Earth Sciences.

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Future Trends and Challenges of AI and IoT for Earth Sciences

  • Buram Sanjana,
  • Shugufta Fatima,
  • C. Kishor Kumar Reddy,
  • Jothi Paranthaman

摘要

In the face of challenges like climate change and natural disasters, the integration of AI, IoT, and Earth Sciences transforms our understanding of the earth. This chapter looks into how these technologies enhance decision-making, predictive modeling, and environmental monitoring. With its ability to process large datasets, AI can identify patterns that a human cannot see, allowing for more accurate climate models and earlier disaster alerts. This is enhanced with IoT, connecting networks of intelligent sensors and gadgets to enable real-time data gathering even from the most remote locations. Satellite remote sensing, environmental monitoring, and disaster risk management represent the current applications that reflect the revolutionizing power of AI and IoT. The newer areas in machine learning, edge computing, and sensor technologies will provide new and innovative tools for anticipating and reducing the dangers of the environment as well as enhancing resource management. The chapter advocates for managed steps that will enable these technologies to be used over the long term. Research, policymakers, and industry leaders should build robust legislative bodies that address issues such as accessibility, privacy, and security of data. Stakeholders should optimize the benefits of AI and IoT while reducing hazards by encouraging ethical innovation. While these technologies open new horizons with such tremendous potential, ethical integration provides the necessity for uprooting urgent global concerns and responsible development of the Earth Sciences.