APPLICATION OF SUPPORT VECTOR REGRESSION IN MODELING AND DATA PROCESSING OF RICE LEAVES

By applying support vector regression, the modeling data of rice leaves collected in our study were grouped into sample training set and test set, and three machine learning prediction models on rice growing environment against leaf blade length, width and SPAD value were constructed.

Authors: Yi Wenlong, I. V. Gerasimov, S. A. Kuzmin

Direction: Informatics and Computer Technologies

Keywords: Rice leaf, physiological ecology, machine learning, support vector machine

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