The conflict between humans and wild animals is a significant threat to their lives and the productivity of crops. The proposed model works with the fusion of artificial intelligence and Internet of Things technique-based solutions to overcome the problems faced by farmers near the forest area. YOLOv3 object detection model detects the wild animals and intruders entering the farm field 24/7. Once the object is detected and classified, an immediate response will be given at the farm field by playing the appropriate recorded MP3 sound, beeping buzzer and glowing LED. This is to make the wild animals get diverted and move away from the field. Through the Interface of the Generic MQTT protocol, information will be decimated to the remote place of the farmer's end to take appropriate action, where the farmers can protect their grown crops from wild animals and even save their lives from them by taking precautionary measures.

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AIoT-Based Virtual FENSOR for Farm Field

  • K. Balakrishna,
  • J. Joy Sakriyas,
  • C. V. Prajwal,
  • H. Muralidhara,
  • M. N. Hrushikesh,
  • R. Paramesha

摘要

The conflict between humans and wild animals is a significant threat to their lives and the productivity of crops. The proposed model works with the fusion of artificial intelligence and Internet of Things technique-based solutions to overcome the problems faced by farmers near the forest area. YOLOv3 object detection model detects the wild animals and intruders entering the farm field 24/7. Once the object is detected and classified, an immediate response will be given at the farm field by playing the appropriate recorded MP3 sound, beeping buzzer and glowing LED. This is to make the wild animals get diverted and move away from the field. Through the Interface of the Generic MQTT protocol, information will be decimated to the remote place of the farmer's end to take appropriate action, where the farmers can protect their grown crops from wild animals and even save their lives from them by taking precautionary measures.