Leaf diseases in cucumber must be identified early and accurately as it reduces the yield. Disease detection in plants is the important field of Artificial Intelligent in agriculture. This causes a periodic outbreak of plant diseases which leads to crop death. Automatic plant disease detection may be benefits in monitoring large scale cultivation of crops, and detects the disease symptoms at early stage itself. Here to detect the disease present in the cucumber the tensor flow technique is used and then artificial neural network is used to classify these diseases. The common disease like cucumber mosaic virus, leaf miner, bacterial leaf spot, and leaf blight are examined with disease detection accuracy of 98.66%. This image processing techniques and algorithm are designed using python language to segment the diseases and categories them whether infected or healthy with the help of Pycharm software.