Corn leaf disease spot recognition comparative study of Bayesian classification and fuzzy pattern recognition

摘要

Crop diseases occurrence have a great impact on Agricultural Production. Using the technology based on machine recognition to identify crop diseases automatically has important significance on agricultural production. The principles of the Bayesian Classification and the Fuzzy Pattern Recognition are introduced in this paper. Classification on 5 kinds of corn leaf diseases spot respectively are implemented based these two methods. The results show that the average recognition rate of Fuzzy Pattern Recognition is higher than Bayesian Classification's on corn leaf disease spot. Average recognition rate of the 5 kinds of corn leaf disease spot is more than 93%.