Establishment of warning system of greenhouse rose diseases based on visual C++

Though the use of mixed programming of Visual C++ language and Matlab software, it realizes the optimization of the warning system of BP neural network model that is based on genetic algorithm. This system can not only quickly query into the diseases incidence about rose powdery mildew, downy mildew, gray mold, it also can predict index of the disease inflection rate of greenhouse rose diseases. It provides convenient operation for the user, and the system has features like good openness, independence etc. It provides technical support and solutions for early warning and forecast of greenhouse rose diseases.