Method and system for identifying saline-alkali resistant gene of plant

The invention relates to a method and a system for identifying saline-alkali resistant genes of plants, in particular to a method and a system for identifying saline-alkali resistant genes of plants based on machine learning, and aims to solve the problems that a saline-alkali resistant gene identification method depends on identification of homologous genes of plants, and the false positive rate and the false negative rate of identification results are very high; the method comprises the following steps: acquiring a plurality of plant protein sequences of which whether the plant protein sequences are saline-alkali resistant genes or not is known; acquiring feature vectors of the vegetable protein sequences; constructing a C4.5 algorithm model, training the C4.5 algorithm model by using the feature vector, and outputting whether a gene is a saline-alkali resistant gene or not to obtain a trained C4.5 algorithm model; s2 is executed on a to-be-recognized plant protein sequence to obtain a feature vector, the f