Rice blast recognition based on principal component analysis and neural network
Rice blast recognition based on principal component analysis and neural network is a scholarly work, published in 2018 in ''Computers and Electronics in Agriculture''. The main subjects of the publication include precision agriculture, artificial intelligence, remote sensing, artificial neural network, support vector machine, backpropagation, chemometrics, principal component analysis, kernel principal component analysis, pattern recognition, computer science, and probabilistic neural network. Secondly, stepwise regression analysis was used to analyze the correlation between the characteristic parameters.