Identification based on color and texture of the soybean leaf nitrogen diagnostic model

This paper designed and established gathering diagnosis system model utilized the pattern recognition and the computer vision imagery processing technology. Carries on the nitrogen element to the soybean leaf blade to lack, the excessive non-destructive inspection principle and the flow, when the plant lacks the nitrogen, the leaf blade from the leaf margin to the apex etiolution, the etiolution geometrical shape is the V shape gradually. When plant´s nitrogen element excessive, it will cause the color and the texture change., carried on the sample cultivation, proposed the air zone enhancement and the air zone smooth method carried on the pretreatment to the image, the work is good for the requirements of further processed.