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The integrated pest management plan presented in this paper consists of an IoT system that includes real-time weather and camera sensors and IoT-enhanced cloud analytics to find and control pest and disease occurrence in agriculture. Using the images of the crops combined with weather data, the system makes it possible to anticipate threats, carry out forecast analysis, and provide recommendations to assist in achieving sustainable agriculture. Such an approach reduces the dependence on pesticides and improves the methods of precision agriculture and crop production, simultaneously maintaining environmental balance.

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IoT-Enabled Computational Framework for Proactive Crop Management Using Camera-Based Sensors, Real-Time Visual Data Processing, and Cloud-Integrated Analytics

  • 会议论文

  • 发表日期：

    2025年

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  • Indayani,
  • Adil A. Alwan

摘要

The integrated pest management plan presented in this paper consists of an IoT system that includes real-time weather and camera sensors and IoT-enhanced cloud analytics to find and control pest and disease occurrence in agriculture. Using the images of the crops combined with weather data, the system makes it possible to anticipate threats, carry out forecast analysis, and provide recommendations to assist in achieving sustainable agriculture. Such an approach reduces the dependence on pesticides and improves the methods of precision agriculture and crop production, simultaneously maintaining environmental balance.