This　paper　attempts　to　apply　neural　networks　to　classify　maize　disease　images.　The　classification　model　is　based　on　thousands　of　images　of　actual　maize　diseased　leaves,　which　are　relatively　belonging　to　maize　leaf　blight　leaves,　corn　rusty　leaves,　corn　gray　spot　disease　leaves,　and　corn　healthy　leaves.　Classification　neural　networks　are　a　popular　machine　learning　method　that　will　serve　as　an　adjunct　to　help　diagnose　whether　corn　leaves　are　diseased.　This　article　analyzes　and　contains　details　of　the　algorithms　we　use.　This　article　demonstrates　our　proposed　VGG-16-based　neural　network　model.　The　average　recognition　rate　of　the　final　model　is　94.64%.　©　2022　IEEE.