Quantity of Flowers, and Get Rid of the Situation That the Price of Agricultural Products Is Prone to High Prices or Collapse in the Past, Such as the High Fluctuation of Demand for Flowers During the Chinese New Year. , Forecasting Is Very Difficult. Taipei Flower Hopes to Maintain the Price and Quantity of Flowers Through the Ai ​​Prediction Model and Steadily Benefit Farmers. This Time, the Accuracy of the "Perfume Lily Price and Volume Forecast" Is as High as 70%, Which Is Also Very Difficult. After That, It Is Not Ruled Out to Find Other Flower Species for Price and Volume Forecasting. I Hope That This Set of Ai Forecasts Can Be Imported into the Flower Company's Price and Volume
Forecast in the Future. Standard Procedure. with the "Dynamic Foot Pressure Image Recognition" of a Thin Leather Shoes, the Team Participating convert raster to vector in the Problem-Solving Can Make Full Use of the Technology of Computer Vision to Predict the Highest and Lowest Points of the Foot Shape. in the First-Place Model, the Average Distance Error Per Point Is Only 4 Pixels, Which Is a Very Good Result. After the Application Is Implemented in the Future, the Labeling Accuracy Will Be Greatly Improved, and It Will Give Higher Value to the Subsequent Data Application. Hong Shushen,
Deputy Head of the Industrial Technology Research Institute's Huge Capital Center, Emphasized That If an Enterprise Wants to Implement Ai Applications, the First Step Is to Collect Data, Because Ai Needs a Large Amount of Accurate Data to Learn and Achieve the Results of Analysis and Prediction; Secondly, It Requires Enterprise Management Only with High-Level Support Can It Be Promoted Smoothly from Top to Bottom, and the Success Rate Is High;