The remote image AI analysis tech on cloud platform using Support Vector RegressionDNN neural network model for harvesting prediction (R2=0.98, MSE1.5)not has been introduced to Papua New Guinea in cooperation with TaiwanICDF, also authorized the " Large-scale crop UAV image of AI analysis" tech to the advanced industry, accumulatively exceeding 1 million NTD,currently in the patent application. The tech combined with geographic information systems is retained to support cross-border monitoring under the trend of grain export restrictionscan provide the best management advice for similar environmentsspecies in neighboring countries to achieve the goal of sustainable precision agricultural production.

In order to improve grain productivity, this technology combines environmental, GISAI optimal harvest timing assessment technology. The technology has been published in SCI journals (IF=4.05),has been introduced to agricultural developing countries such as PNG in cooperation with TaiwanICDF,has applied for invention patents. The visual interface of the cloud platform is easy to use. It assists grain production monitoring through GISremote methods,provides international harvesting assistance suggestions for a variety of planting typesvarieties.

本團隊發展基於AI分析技術之遠端監測平台，將重要農業資訊量化。平台結合AI最適採收分析技術，提供跨區域栽培者提升收入並降低農耕管理成本之管理模式。本技術能提升臺灣單一期作水稻3.4億潛在淨產值，輔助農企業管理決策，以達到效益最大化之永續目標。