Soil Temperature Prediction Using Convolutional Neural Network Based on Ensemble Empirical Mode Decomposition
Soil temperature plays an important role in agriculture, industry and other fields.Accurate soil temperature prediction can help improve productivity and avoid risks in many fields.At present, many machine learning methods have been applied to soil temperature prediction such as support vector regression (SVR), artificial neural network (ANN), long