The technology design and implement a "intelligent agricultural IoT system" that integrates all kinds of environmental sensing data and real-time image of the agricultural plant production field. The following five sub-systems will be described separately: (1) Knowledge Management System for Agricultural Production – It establish agricultural expert knowledge ontology and production event rules to provide relevant production knowledge query through the data of the agricultural plant production field is compared by agricultural knowledge annotations and planted environmental events. (2) High Performance IoT System for QoS Transmission - According to the data service quality requirements for transmission scheduling control, and real-time assessment of network status dynamic adjustment to optimize the transmission. (3) Augmentative-Reality Interactive Video ManagementSystems for Intelligent Farm - It facilitate farmer field operations or to manage agricultural production through visualization by geographical perceptions and expanded realities. (4) An Intelligent Agriculture System for Estimating Agrometeorological and Mining Plant Diseases and Pests Features – It accurate estimation of the establishment of micro-climate information and weather around the estimated value of Taiwan through the Kriging interpolation method combined with real-time sensing and meteorological public database, combined with pest and disease image recognition technology, into the analysis and exploration of plant-related information and established Association rules. (5) Micro-Climate Automatic Control and Field Security – It provide open, customizable environmental sensing system to achieve crop growth environment, temperature, humidity, light and other environmental control, and developed a pedestrian tracking and identification method that can be applied to the greenhouse automatic monitoring and maintenance system based on computer vision technology.

1.結合環境數據與專家知識的知識管理系統。
2.可依據服務品質及網路狀況調整資料傳輸排程。
3.利用擴增實境技術可以視覺化的方式進行農業生產管理。
4.透過克利金內插法精確推估台灣各地微氣候資訊。
5.開放且客製化之環境感測系統與行人追蹤暨識別方法。

本技術將資通訊技術導入農業生產管理，以物聯網、雲端運算與知識管理等技術建置一智慧農業雲端生產管理平台，以腎藥蘭之戶外網室為實驗場域，佈建環境感測器與即時影像設備。首先建置一雲端管理平台，根據使用者所要求之服務品質及網路狀況進行感測資料傳輸排程調適控制，接著比對感測資料與作物生長記錄並結合專家知識後設計一知識管理系統，以提供作物生長知識查詢。另外，將感測資料與公開氣象庫結合，透過克利金內插法精確推估台灣各地微氣候資訊與氣象推估值。並透過地域感知與擴增實境提供互動功能，方便農戶現場操作或透過遠端以視覺化的方式進行農業生產管理。此外，透過PLC與Gateway建置一開放式與客製化之環境感測系統，以達到實驗場域之環境控制，最後，利用電腦視覺技術開發一行人追蹤暨識別方法，可自動辨別進出人員是否為可疑者。