2012-01-012024-05-15https://scholars.lib.ntu.edu.tw/handle/123456789/662812摘要：因應貿易自由化的趨勢，未來無可避免地將會有更多作物疫病蟲害入侵並對臺灣農 業造成危害。藉由本計畫自動化監測系統的開發，將能落實發展國內農作物植物病 蟲害之監測與預警系統，強化重大疫病蟲害共同防治措施之發展目標。 本年度將主要將先開發兩大自動化系統之軟硬體設備，一為「自動化害蟲監測與警 示通報系統」，進行自動化害蟲棲群密度分析，主要監測對象為斜紋夜蛾。二為「 自動化檢疫害蟲預警系統」，進行外來檢疫害蟲入侵的自動化即時監測與通報。本 年度將針對自動化害蟲監測與警示通報系統與自動化檢疫害蟲預警系統之各項軟硬 體進行開發、改良與製作，預期將降低系統運作功耗並提升系統運作之穩定度。本 年度將於雲林的生菜產區與屏東的毛豆產區實際建置自動化害蟲監測與警示通報系 統，長期進行自動化斜紋夜盜蛾密度監測。此外，規劃將於非疫生產點或是重要蔬 果輸出產區建置「自動化檢疫害蟲預警系統」，透過自動化系統監測各產區是否遭 受檢疫害蟲危害。 此外，研究人員將評估植物疫情整合通報系統的運作方式，並針對未來長期監測所 需評估自動化監測設備運作、維護及校正方法。最後，將依據植物疫情整合通報系 統的運作方式，設計與開發決策支援系統，並針對使用者需求，設計決策支援系統 內各項資訊之查詢瀏覽方式。 <br> Abstract: Because the trend of trade globalization is getting more popular nowadays, the possibilities of quarantine pest invasion to Taiwan increase and it may cause huge agricultural damages unpredictably. In this project, the development of an automatic monitoring system will improve the performance of conventional systems currently used for monitoring insect pests. The proposed system is able to increase the efficiency of the common prevention practices in pest management. Our research team will develop the software and hardware for two automatic systems. The first one is called automatic monitoring and alerting system (AMAS) for army worm. This system will automatically monitor the number of male Spodoptera litura and analyze the population density based on the monitoring result. The second one is called automatic alerting system for quarantine pests (AASQP). This system will automatically monitor quarantine pests and notify management personnel of the pest information. We will continue to develop and modify the software and hardware for the AMAS for S. litura and AASQP this year. The modified systems will decrease the power consumption and increase the working stability. Two AMASs for S. litura will be deployed at lettuce-producing areas in YunLin county and soya beans-producing areas in PingTung county. The AMASs will monitor the pest population of S. litura continually in a long-term period.One the other hand, AASQPs will be deployed at some quarantine pest free sites or important fruits and vegetables producing areas. The AASQPs will monitor the invasion of quarantine pests in the mentioned areas. Moreover, this project will evaluate the management methods for the integrated pest status alerting system; the operating, maintenance, and adjustment methods for the monitoring systems will be also evaluated. Finally, a decision support system for the pest status prevention will be designed and developed, according to the management methods for the integrated pest status alerting system. In accordance with the requirements of the users, the monitoring and inquiring interfaces of the decision support system will be also developed.自動化監測決策支援系統族群動態分析預警系統害蟲監測automation monitoringdecision supporting systempopulation dynamics analysisalerting systempest monitoring