计算机科学 ›› 2012, Vol. 39 ›› Issue (10): 300-302.

• 图形图像 • 上一篇    下一篇

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

曹丽英,张晓贤,伞晓辉,陈桂芬   

  1. (吉林农业大学信息技术学院 长春130118) (长春工程学院软件学院 长春130012) (安徽农业大学 合肥230036)
  • 出版日期:2018-11-16 发布日期:2018-11-16

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

  • Online:2018-11-16 Published:2018-11-16

摘要: 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PP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。

关键词: 玉米病害,图像处理技术,数学形态学,神经网络算法

Abstract: 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.

Key words: Maize disease, Image processing technique, Mathematical morphology, Neural network algorithm

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!