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Agriculture in Central Europe serves the purpose of food production but it also takes place in natural wildlife habitats. This means that disturbance of wild animals cannot be completely avoided. When it comes to mowing of grassland or harvesting, especially deer fawns are in danger because they naturally have no reflex of escaping. To address this, Germany has introduced legal regulations and support measures, including subsidies for drones equipped with thermal imaging cameras. These technologies are part of the “5G Smart Country” project, which focuses on integrating digital solutions into agriculture. This paper presents a drone-based system developed within the project to efficiently detect and protect fawns during agricultural activities, enhancing both animal welfare and farm productivity.

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Development of 5G Smart Farming Dashboard to Detect Wild Animals on Pasture by Using Convolutional Neural Network

  • 会议论文

  • 发表日期：

    2025年

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  • Ali Akyol,
  • Rami Chahin,
  • Jorge Marx Gómez,
  • Hendrik Schwabe,
  • Henrika Schwanke,
  • Nora Uderstadt

摘要

Agriculture in Central Europe serves the purpose of food production but it also takes place in natural wildlife habitats. This means that disturbance of wild animals cannot be completely avoided. When it comes to mowing of grassland or harvesting, especially deer fawns are in danger because they naturally have no reflex of escaping. To address this, Germany has introduced legal regulations and support measures, including subsidies for drones equipped with thermal imaging cameras. These technologies are part of the “5G Smart Country” project, which focuses on integrating digital solutions into agriculture. This paper presents a drone-based system developed within the project to efficiently detect and protect fawns during agricultural activities, enhancing both animal welfare and farm productivity.