Abstract: In order to solve the problem that drought stress and salt stress are difficult to distinguish in the early stage when plants are under stress,a method was proposed to identify drought stress and salt stress based on light-induced plant electrical signals.The illumination/darkness cycle stimulation was used to obtain the surface potentials of wheat seedlings under normal conditions,as well as under isotonic drought and salt stress.One-versus-one support vector machine（OVOSVM） was used to classify the obtained plant electrical signals.The results of 3-fold cross validation showed that the two-class classification of wheat seedling leaf surface potential under normal and drought stress had an accuracy of 100%,and the two-class classification of leaf surface potential under normal and salt stress had an accuracy of 94.44%.The accuracy of three-class classifications reached 96.30%.Under the conditions of isosmotic drought stress and salt stress,the classification accuracy of wheat seedling leaf surface potential was 100%.The results showed that plant electrical signals can be used as a method to identify adversity stress,and can accurately identify early drought stress and salt stress under isotonic conditions.