The Detection System for Greenhouse Tomato Disease Degree Based on Android Platform

A detecting way based on Android platform was proposed in order to detect greenhouse tomato disease degree in real time. This way employed the camera in mobile phone to acquire tomato disease leaf image in the greenhouse. Firstly, the detection system was built by the Eclipse based on the Android development environment. The iterative threshold segmentation algorithm was used to separate the tomato disease leaf area from background. And the fuzzy C-means cluster algorithm was adopted to extract the disease spots. After analyzed the impact of different fuzzy weighted index m value, the value of m was selected 2 for the disease spots segmentation. After that the tomato disease degree was determined based on the relevant standards and the total disease index of greenhouse was got based on disease index calculation standards. Finally, the calculating data could upload to the network server and was used by cloud management to achieve synchronous computer terminal query. The experimental results show that the detecting way could non-destructed measure the disease index of tomato leaf diseases with non-destructive and exact in greenhouse.