An Automatic Nitrogen Estimation Method in Sugarcane Leaves Using Image Processing Techniques

Abstract

In this study, we developed an automatic nitrogen estimation method in a plant based on leaf color. In this work, we focus on sugarcane. Here, sugarcane leaf images are captured by a portable camera and then relationships between nitrogen content and leaf colors in red (R), green (G), blue (B) and near infrared (IR) are examined. We found that of the terns R, G, B, G/B, G/R, R/B and ((IR-R)/(IR+R)) had the significant relationship with nitrogen concentration in the sugarcane leaves.