Study on growth prediction of Haematococcus pluvialis based on ARIMA model

Abstract

The life cycle of Haematococcus pluvialis is more complicated, and cultivation requires many suitable conditions, so it is difficult to predict the cultivation effect. Therefore, in order to explore the short-term growth status of Haematococcus pluvialis cells in the proliferation stage, 99 groups of sample data with the average radius of algae cells are selected as the research object, and the stability test and white noise test of the sample data sequence are performed. According to the stability of the data series, the model parameters were determined, and the ARIMA model was established to predict the time series. In order to prove the applicability and accuracy of the model, the real value and the predicted value of the algae cell radius were compared. Haematococcus cell radius error is within 10%, It shows that the model can bring reference research value for the growth prediction of algae cells in the short-term.