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In addition to numerous other occupations, the agricultural industry contributes 20% of India’s GDP. The primary challenges at this time, nevertheless, involve productivity and viability in agriculture. Animals got concerned, that is why. Farmers are losing money as a result of these attacks by animals on their crops. The proposed approach provides IoT and machine learning algorithms to address this problem. To identify animals and locate objects in photos, the Raspberry Pi makes use of machine learning techniques includes convolution neural network (CNN), VGG16, and SSD. Moreover, the IoT function through Thing Speak is particularly useful for cloud-based real-time graphical representation and evaluation of photos.

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Efficient Monitoring System for Crops Against Animal Intrusion Based on IoT and Machine Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Mahesh Kotha,
  • Sandhyarani,
  • K. Maheswari,
  • L. Chandrasekhar Reddy,
  • Abdul Subhani Shaik,
  • A. Vivekananda

摘要

In addition to numerous other occupations, the agricultural industry contributes 20% of India’s GDP. The primary challenges at this time, nevertheless, involve productivity and viability in agriculture. Animals got concerned, that is why. Farmers are losing money as a result of these attacks by animals on their crops. The proposed approach provides IoT and machine learning algorithms to address this problem. To identify animals and locate objects in photos, the Raspberry Pi makes use of machine learning techniques includes convolution neural network (CNN), VGG16, and SSD. Moreover, the IoT function through Thing Speak is particularly useful for cloud-based real-time graphical representation and evaluation of photos.