Automatic identification method and device for forestry diseases and insect pests

The embodiment of the invention discloses a forestry pest automatic identification method and device, and the method comprises the steps: obtaining a target image which comprises the image information of at least one to-be-identified pest; inputting the target image into a pre-trained identification model to obtain a pest and disease identification result, wherein the recognition model is obtained through training by using pest sample data based on a pre-constructed deep learning network, and the pest sample data comprises image samples and category labels corresponding to the image samples. The technical problems that in the prior art, the pest and disease identification cost is high, and the accuracy of the identification result is poor are solved. 本发明实施例公开了一种林业病虫害自动识别方法及装置,所述方法包括：获取目标图像，所述目标图像中包含至少一种待识别病虫害的图像信息；将所述目标图像输入预先训练的识别模型中，以得到病虫害识别结果；其中，所述识别模型是基于预先构建的深度学习网络利用病虫害样本数据进行训练得到的，所述病虫害样本数据包括图像样本和与所述图像样本对应的类别标签。解决了现有技术中病虫害识别成本较高，识别结果的准确性较差的技术问题。