Plant disease recognition model construction method and device and model construction system

The invention provides a plant disease recognition model construction method and device and a model construction system. The method comprises the following steps: creating a hybrid model based on deep learning based on a ResNet18 network model and a DeepLabV3 + network model; the ResNet18 network model, the first DeepLabV3 + network model and the second DeepLabV3 + network model in the hybrid model are trained through the training data set; and testing the ResNet18 network model, the first DeepLabV3 + network model and the second DeepLabV3 + network model in the trained hybrid model through a test data set corresponding to the training data set to obtain a plant disease identification model. Therefore, the accuracy of the constructed model for identifying the plant diseases can be improved. 本申请提供一种植物病害识别模型构建方法、装置及模型构建系统。方法包括：基于ResNet18网络模型和DeepLabV3+网络模型，创建基于深度学习的混合模型；通过训练数据集，对混合模型中的ResNet18网络模型、第一DeepLabV3+网络模型和第二DeepLabV3+网络模型进行训练；通过与训练数据集对应的测试数据集，对训练后的混合模型中ResNet18网络模型、第一DeepLabV3+网络模型和第二DeepLabV3+网络模型进行测试