GeoAI Cloud Analytics Platform = GeoAI雲端分析平台

Mosquitoes transmit diseases easily, and some are fatal. In view of this, the Science Unit of Lingnan University has developed a Geospatial artificial intelligence (GeoAI) system, which combines GeoAI technology, an internet of things platform, and geographic information to generate a Mosquito Risk Index and a Mosquito Risk Map for the general public with real-time information about mosquito infestations on a regional basis, and assist Hong Kong in predicting mosquito infestations and controlling mosquito-borne diseases with the use of big data analysis.

The GeoAI Cloud Analytics Platform, an GeoAI system developed by Lingnan University, generates the Mosquito Risk Index and Mosquito Risk Map by analysing the mosquito population and meteorological data provided by Lingnan University’s Intelligent Mosquito Killer Lamps system, which has been installed in 16 districts in Hong Kong, coupled with environmental data such as the location of the vegetation and water sources in the area, etc., as well as the mosquito trap indices from the Food and Environmental Hygiene Department (FEHD). Members of the public can visit Lingnan University's Mosquito Risk Platform (geoaimq.ln.edu.hk) to obtain the real-time and predicted mosquito situations in various districts, and avoid going to areas with serious mosquito problems.

蚊蟲容易傳播疾病，部份更可致命。有見及此，嶺南大學（嶺大）科學教研組研發一套地理空間人工智能（GeoAI）平台，結合GeoAI技術、物聯網平台及地理資訊，生成「蚊患風險指數」及「蚊患風險地圖」，向市民大眾報告地區性實時蚊患，以大數據分析協助本港預測蚊患及控制蚊媒疾病。

嶺大研發的地理空間人工智能系統「GeoAI雲端分析平台」，透過分析嶺大設置於本港16個地區的智能滅蚊燈系統所提供的蚊蟲數量和氣象數據，再加上環境數據（如該區的植物及水源位置等）及食物環境衞生署（食環署）的誘蚊器指數，生成了「蚊患風險指數」及「蚊患風險地圖」。市民可透過瀏覽嶺大的蚊患風險平台（geoaimq.ln.edu.hk），以取得各區實時及預測的蚊患情況，從而能避開蚊患嚴重的地區。