Scholarlink

<p>The invasion of crops by harmful wild animals is a significant global issue, with Japan experiencing annual economic losses amounting to billions of yens. To mitigate this problem, most farmers use manually triggered traps. However, these traps are often ineffective and fail to capture the targeted animals. Previous researches have primarily focused on studying wild boar behavior, detecting their presence in crops, and using scare tactics to prevent field destruction. This paper introduces an intelligent system designed to capture wild boars efficiently. The developed system integrates the YOLO recognition algorithm with traditional traps to automatically identify and capture wild boars. By adopting this intelligent approach, the presence of wild boars can be significantly reduced, providing farmers with better security for their crops.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Development of AI-based smart box trap system for capturing a harmful wild boar

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月5日

查看全文
  • Francis Ifaso Besala,
  • Ryunosuke Niimoto,
  • Jae Hoon Lee,
  • Shingo Okamoto

摘要

The invasion of crops by harmful wild animals is a significant global issue, with Japan experiencing annual economic losses amounting to billions of yens. To mitigate this problem, most farmers use manually triggered traps. However, these traps are often ineffective and fail to capture the targeted animals. Previous researches have primarily focused on studying wild boar behavior, detecting their presence in crops, and using scare tactics to prevent field destruction. This paper introduces an intelligent system designed to capture wild boars efficiently. The developed system integrates the YOLO recognition algorithm with traditional traps to automatically identify and capture wild boars. By adopting this intelligent approach, the presence of wild boars can be significantly reduced, providing farmers with better security for their crops.