Abstract: In order to improve the accuracy and efficiency of diagnosis for cucumber disease in greenhouse, the hyperspectral imaging technology was proposed. The cucumber disease of downy mildew and powdery mildew were adopted as the experimental object. The cucumber disease hyperspectral images data were acquired by a hyperspectral imaging system. The feature wavelength images were selected via analysis between 450 nm and 900 nm wavelength hyperspectral imaging. Then these images were filtered to eliminate noise. And texture features were extracted based on chromaticity monuments of cucumber disease in leaf. Finally, the SVM was used to diagnose cucumber disease. The experimental results show that the accuracy of diagnosing cucumber disease of downy mildew and powdery mildew with hyperspectral imaging technology was 100%. So, the hyperspectral imaging technology can be used to diagnose cucumber disease, which has better features of accuracy and efficiency.