Abstract: The yield and quality of facility vegetables are seriously affected by diseases. Traditional control measures can not well meet the requirements of food safety and friendly environment from society whereas facility vegetable diseases early warning, which is a green and effective diseases control mode, can give consideration to both vegetable production and requirements of society. In this paper, decision tree C4.5 algorithm is applied to early warning of vegetable diseases and based on which static early warning model of facility vegetable diseases is constructed. For testing the feasibility and applicability of the model, cucumber scab is taken for example and the model constructed is analysed and evaluated. Result shows that using decision tree C4.5 algorithm is able to realize early warning of cucumber scab. The model of high accuracy and less time can be effectively applied to the actual production.

Key words: facility vegetable diseases, early warning, decision tree, cucumber scab, analysis and evaluation