Pond mariculture water temperature prediction method based on machine learning

The invention discloses a machine learning-based pond mariculture water temperature prediction method. The method comprises the following steps of S1, creating a pond mariculture water temperature prediction model; S2, adjusting parameters to optimize the prediction model; s3, performing evaluation and determination on the optimized prediction model; and S4, inputting forecast data of meteorological factors into the determined prediction model, and carrying out pond mariculture water temperature forecast. According to the method, the pond seawater aquaculture water temperature can be predicted through the established prediction model, so that the pond seawater aquaculture production management is effectively guided, and the economic benefit is improved. 本发明公开了一种基于机器学习的池塘海水养殖水温的预测方法，包括以下步骤：S1、创建池塘海水养殖水温预测模型：S2、调整参数对所述预测模型进行优化；S3、对优化后的所述预测模型进行评估确定；S4、在确定的所述预测模型中输入气象因子的预报数据，进行池塘海水养殖水温预报。本发明能够通过创建的预测模型对池塘海水养殖水温进行预测，从而有效指导池塘海水水产养殖生产管理，提高经济效益。