This year’s plan will use 9 batches of cabbage seedling survey data collected since 107. Each batch has at least 2,500 data. Through the accumulation of more than 10,000 physiological parameter data and corresponding environmental data collection, analysis and construction, the modle is completed, and it can predict a more accurate shipment date, reaching a prediction accuracy rate of 77%. If it is predicted to be within 3 days before and after the shipment date range, it can exceed 90%. Currently, the developed data will be added to the 「vegetable seedling intelligent production management system」 through module integration.The module is expected to be developed by the end of 110.

▲Fig. 1. The application carrier of vegetable seedling intelligent production management system.

▲Fig. 2. Collection of physiological parameters of cabbage seedlings.

◆Establishment of physiological parameters and production operation mode for vegetable nursery

This year, we will establish the physiological parameters of the annual seedling growth of chinese cabbage (No.4 Baobai) and sweet pepper (Mingxing). The physiological parameter including plant high, stem diameter, leaf number, fresh weight, and root growth etc were recorded. Complete the environmental and seedling physiological parameters were conduct data analysis for the verification of the seedling growth prediction model, and predict the appropriate seedling and shipping dates.

▲Fig. 3. Implement the annual test of seedling nursery for main vegetables and establish a seedling growth prediction model to access appropriate seedling sowing and shipping dates.