Research on the Diagnosis of Soybean Diseases Based on Naive Bayes Algorithm
Lei Shi · Anhui nongye kexue · 2009
The basic theory of Naive Bayes algorithm was firstly introduced.Taking the soybean dataset in UCI database as an example,the applications of Naive Bayes algorithm in soybean disease diagnosis were studied.The research results indicated the prediction accuracy of Naive Bayes algorithm was better than that of decision tree C4.5 algorithm and nearest neighbor INN algorithm.