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

Author

Wang, Shu-jie ; Niu, Hai-wei ; Liu, Li-li ; Yuan, Li-na ; Sui, Yuan-yuan ; Yang, Yue

Author_Institution

Sch. of Biol. & Agric. Eng., Jilin Univ., Changchun, China

fYear

2011

fDate

26-28 July 2011

Firstpage

2454

Lastpage

2457

Abstract

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.

Keywords

C++ language; backpropagation; biology computing; botany; mathematics computing; neural nets; visual languages; BP neural network model; Matlab software; Visual C++; disease inflection rate; downy mildew; genetic algorithm; gray mold; greenhouse rose diseases; rose powdery mildew; warning system; Alarm systems; Diseases; Genetic algorithms; Mathematical model; Predictive models; Training; Visualization; BP neural network; Visual C++; genetic algorithm; warning system;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Technology (ICMT), 2011 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-61284-771-9

Type

conf

DOI

10.1109/ICMT.2011.6002380

Filename

6002380