[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2418":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":18,"tags":20,"view_count":15,"doi":26,"paper":27,"created_at":48},2418,"Artificial Intelligence-Driven Anti-Poaching Surveillance Systems: A Review of Advances, Challenges, and Future Directions","https:\u002F\u002Fdoi.org\u002F10.14445\u002F23488549\u002Fijece-v13i8p103","The UN Environment Programme reports an average 69% decline in wildlife population since 1970, with around 4000 species illegally poached, trafficked, and traded globally. The World Wildlife Crime Report shows a significant population revival for certain species, but overall protection remains inadequate. The 5-step approach to understanding wildlife decline can improve methods. Emerging smart technologies, such as computer vision, IoT systems, and AI, can help manage wildlife populations and prevent poaching. Drones, bio-loggers, camera traps, and GPS collars provide real-time data for wildlife monitoring and tracking. Unmanned Aerial Vehicles (UAVs) have also shown promise in wildlife welfare. This article aims to analyze the decline of wildlife populations, study smart technologies for anti-poaching efforts, and evaluate emerging technology-driven solutions to traditional wildlife welfare challenges. Human-induced factors like hunting, poaching, pollution, and habitat loss have compromised biodiversity. Poaching has led to population reduction and ecological imbalance. Traditional conservation practices have failed to revive wildlife populations. Integrating smart technologies, IoT, AI, and predictive analysis can help prevent poaching and promote ecological balance.","联合国环境规划署报告称，自1970年以来，野生动物种群平均减少了69%，全球约有4000个物种遭到非法偷猎、贩运和交易。《世界野生动物犯罪报告》显示，某些物种种群显著恢复，但总体保护仍然不足。理解野生动物减少的5步方法可以改进相关措施。新兴智能技术，如计算机视觉、物联网系统和人工智能，有助于管理野生动物种群并防止偷猎。无人机、生物记录器、相机陷阱和GPS项圈为野生动物监测和追踪提供实时数据。无人驾驶飞行器（UAVs）在野生动物福利方面也展现出前景。本文旨在分析野生动物种群的减少，研究反偷猎的智能技术，并评估新兴技术驱动的解决方案以应对传统野生动物福利挑战。狩猎、偷猎、污染和栖息地丧失等人为因素破坏了生物多样性。偷猎导致种群减少和生态失衡。传统保护实践未能恢复野生动物种群。整合智能技术、物联网、人工智能和预测分析有助于防止偷猎并促进生态平衡。",null,"International Journal of Electronics and Communication Engineering","2026-09-11T00:00:00Z","论文",10,false,0,{"impact":15,"substance":15,"depth":15,"authority":15,"freshness":15,"relevant":15,"comment":17},"主题为野生动物反盗猎智能监测，属生态保护领域，与三农、农业信息化、智慧农业无直接关联，不建议进入每日精选。",[19],{"name":10,"url":6},[21,22,23,24,25],"计算机视觉","物联网","无人机遥感","野生动物保护","反盗猎监测","10.14445\u002F23488549\u002Fijece-v13i8p103",{"doi":26,"openalex_id":28,"authors":29,"venue":10,"cited_by_count":15,"oa_url":40,"card":41,"direction":45,"ingested_from":47},"W7212319763",[30,32,34,36,38],{"name":31,"orcid":9},"Rohit Samkaria",{"name":33,"orcid":9},"Rajesh Singh",{"name":35,"orcid":9},"Anita Gehlot",{"name":37,"orcid":9},"Charvi Joshi",{"name":39,"orcid":9},"Rahul Mahala","https:\u002F\u002Fwww.internationaljournalssrg.org\u002F..\u002FIJECE\u002F2026\u002FVolume13-Issue8\u002FIJECE-V13I8P103.pdf",{"tldr":42,"method":43,"finding":44,"direction":45,"opportunity":46},"综述AI、物联网与无人机等智能技术在反盗猎监测中的进展、挑战与未来方向。","综述计算机视觉、IoT、无人机、相机陷阱、GPS项圈等实时监测技术。","传统保护措施失效，AI与IoT融合可有效预防盗猎并促进生态平衡。","智慧农业 \u002F 农业物联网","可探索AI预测模型与多源传感数据融合在反盗猎实时预警中的落地验证。","openalex","2026-09-14T23:30:12.295479Z"]