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Real-Time Weather Forecasting and Crop Health Monitoring Using an AI-Powered Drone System for Sustainable Agriculture

  • Unique Paper ID: 159605
  • Volume: 9
  • Issue: 12
  • PageNo: 233-239
  • Abstract:
  • The growing urgency for eco-friendly agriculture and precise weather prediction has led to the development of an innovative AI-driven drone system for agricultural monitoring. Combining aerial photography, machine learning, and advanced drone technology, this system delivers real-time insights into crop health and weather patterns. Using the OpenWeatherMap API and machine learning models, the system detects crop health hazards and provides localized forecasts, enabling informed decision-making for resource allocation and crop protection. Preliminary findings showcase the drone system's efficacy and potential to revolutionize precision agriculture with timely, cost-efficient, and environmentally conscious solutions. Future research will focus on refining models, improving data processing efficiency, and exploring adaptability across diverse agricultural contexts.
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 12
  • PageNo: 233-239

Real-Time Weather Forecasting and Crop Health Monitoring Using an AI-Powered Drone System for Sustainable Agriculture

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Journal no 47859

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