Earticle

초록

영어

The intensifying conflict in Myanmar has led to increasing displacement into Thailand, placing greater pressure on forest resources along the border. Community forests, although part of Thailand’s national reserve system, are managed by local communities and play a crucial role in conservation. This study aimed to evaluate the application of Internet of Things (IoT) technology for forest monitoring in four community forests and one national reserve forest in Mae Hong Son Province, along the Thailand-Myanmar border. Three Spartan 4G camera traps were installed at each site to capture images and videos of moving objects, with real-time data transmission to a server and mobile application. Data were collected continuously over three months and analyzed using descriptive statistics. The cameras achieved a 100% operational rate, and 35% of the 5,168 images captured showed detectable objects. Salawin National Reserved Forest recorded the highest number of human detections (1,002 events) and weapon sightings (53 cases), compared to Pratoomuang Community Forest (354 human detections, 50 weapon sightings). Non-timber forest product (NTFP) collection activities, such as harvesting bamboo and vegetables, were detected 79 times in Salawin and 35 times in Thungpam Community Forest. Agricultural equipment, including spades and brush cutters, was rarely detected. A negative relationship between weapon detections and wildlife presence was observed, with larger forests like Salawin more heavily accessed than smaller, village-managed community forests. The findings demonstrate that IoT-based camera traps are effective for real-time monitoring and can enhance forest protection strategies in conflict-affected border regions.

키워드

저자

• Chakrit Na Takuathung [ Department of Forest Engineering, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ] Corresponding Author
• Yongyut Trisurat [ Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]
• Jenjira Fungjanthuek [ Department of Forest Biology, Faculty of Forestry, Kasetsart University, Bangkok, Thailand ]
• Sitthichai Jinamoy [ Thailand Hornbill Research Foundation, Bangkok, Thailand ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  한국산림공학회 학술대회

• 간기

  연간

• 수록기간

  2023~2025

• 십진분류

  KDC 526 DDC 634