基于图像处理技术和BP神经网络算法的玉米病害诊断方法的研究

为了快速诊断识别玉米病害,及时采取防治措施,提高玉米病害的诊断水平,将图像处理技术和BP神经网络算法引入到玉米病害识别和诊断中。实验测试表明,利用图像处理技术的病害识别模型对采集的病害样本进行处理识别所得到的分析结论与实际应用领域的真实结论相符,满足农业生产的实际应用。该项技术为保证玉米产量和玉米品质提供了一种有效的方法。

Research on Maize Disease Diagnosis Method Based on Image Processing Technique and BP Neural Network Algorithm

To diagnose and identify maize diseases quickly, take preventive measures timely and improve the diagnostic level of maize diseases,this article introduced the image processing technictue and the I3P neural network algorithm into the identification and diagnosis of maize diseases. Experiments show that conclusions of analysis which are gained by using the disease recognition model of the image processing technique to identify the disease samples collected match real conclusions of the practical application field and meet the the practical application of the agricultural production. The technology provides an effective method for ensuring the yield and quality of maize.