Soybean leaves nitrogen elements information collected preprocessing based on model identification

Abstract

This paper research the use of computer visual and image information collected preprocessing based on pattern recognition of soybean Nitrogen element detect. When Nitrogen elements of the soybean plant changes, color and texture will be characteristic. By nurturing and collecting samples, This work analyzed the characteristics determine preprocessing, established a preprocessing system model. The work will be a preliminary diagnosis of soybean nitrogen deficiency, and the basis for further model identification.