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The beef cattle industry in the Lancang-Mekong region, encompassing Cambodia, China, Laos, Myanmar, Thailand, and Vietnam, plays a crucial role in the agricultural economy. Traditional cattle farming methods in this region are labor-intensive and increasingly inadequate in meeting modern demands for efficiency, productivity, and traceability. This paper presents the design and implementation of an enhanced Walk-over-Weighing (WoW) system integrated with Artificial Intelligence (AI) recognition and advanced Internet of Things (IoT) technologies to address these challenges. The redesigned system features an AI-driven recognition system for accurate cattle identification and automated data col-lection, improving ease of use and reliability. Enhanced IoT infrastructure ensures continuous operation even in remote areas, while real-time analytics and integrated health monitoring provide actionable in-sights for effective cattle management. User satisfaction assessments indicate high acceptance and perceived benefits among stakeholders, including significant labor and cost savings, optimized cattle growth, and improved health management. This innovative approach aims to transform traditional cattle farming practices in the Lancang-Mekong region, promoting sustainable and profitable agricultural operations.

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Designing of Beef Cattle Recognition and Detection System to Improve Walk-over-Weighing System (WoW) for Beef Cattle in the Lancang-Mekong Region

  • 会议论文

  • 发表日期：

    2025年

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  • Santichai Wicha,
  • Naruedol Duangban,
  • Abdullah,
  • Rafia Mumtaz,
  • Pradorn Sureephong

摘要

The beef cattle industry in the Lancang-Mekong region, encompassing Cambodia, China, Laos, Myanmar, Thailand, and Vietnam, plays a crucial role in the agricultural economy. Traditional cattle farming methods in this region are labor-intensive and increasingly inadequate in meeting modern demands for efficiency, productivity, and traceability. This paper presents the design and implementation of an enhanced Walk-over-Weighing (WoW) system integrated with Artificial Intelligence (AI) recognition and advanced Internet of Things (IoT) technologies to address these challenges. The redesigned system features an AI-driven recognition system for accurate cattle identification and automated data col-lection, improving ease of use and reliability. Enhanced IoT infrastructure ensures continuous operation even in remote areas, while real-time analytics and integrated health monitoring provide actionable in-sights for effective cattle management. User satisfaction assessments indicate high acceptance and perceived benefits among stakeholders, including significant labor and cost savings, optimized cattle growth, and improved health management. This innovative approach aims to transform traditional cattle farming practices in the Lancang-Mekong region, promoting sustainable and profitable agricultural operations.