A method and system for intelligent disease identification based on CNN and transfer learning
A technology of intelligent recognition and transfer learning, applied in the field of intelligent recognition, can solve problems such as occupying large operating memory and computing time, increasing model complexity and development costs, and poor computing performance, and achieves low image quality requirements, fast computing speed, Good universal effect
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[0054] In this embodiment, an intelligent disease identification system based on CNN and transfer learning is an algorithm model combining convolutional neural network and transfer learning to realize image intelligent diagnosis of common plant diseases. The plant in the present embodiment is example with corn, and this system is with corn common 10 classes (big spot, small spot, round spot, gray spot, stem rot, common rust, silk smut, ear rot disease, Curvularia leaf spot, sheath blight) diseases as the research object, according to the identification results, this system can accurately identify 10 common corn diseases, the correct rate can reach more than 90%, which provides an effective way for the prevention and control of corn diseases technical support.
[0055] See figure 1 , figure 1 It is a flowchart of the architecture of the identification system in this embodiment, which is mainly divided into three layers:
[0056] Service layer: It is used to display the resul...
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