An artificial neural network approach to identify fungal diseases of cucumber (Cucumis sativus L.) plants using digital image processing

摘要: Nowadays, artificial intelligence solutions such as digital image processing and neural networks (ANN) have become important applicable techniques in phytomonitoring plant health detection systems. In this research, an autonomous device was designed developed for detecting two types of fungi (Pseudoperonospora cubensis, Sphaerotheca fuliginea) that infect the cucumber (Cucumis sativus L.) leaves. This able to recognise fungal diseases plants by their symptoms on leaves (downy mildew powdery mildew). For inoculated with different spores fungi, it possible estimate amount hour post inoculation (HPI) extracting leaves’ parameters. Device included a dark chamber, CCD camera, thermal light dependent resistor lightening module personal computer. The proposed programme precise disease based algorithm ANN. Three textural features a...