Plant age identification system of outdoor hydroponic cultivation based on digital image processing

Plant age identification is needed by hydroponic farmer to adjust nutrient solution concentration. Hydroponic plants need different nutrient solution concentration according to their age. Farmers usually adjust it manually based on plants size. It causes plants can't get sufficient nutrition which will have impact on growth. This research aims to identify plants age based on digital image processing. Researh method using segmentation based on color similarity to HSV (Hue, Saturation, Value) method. This method will select plant area, convert to black and white format, calculate pixel number and plant age can be identified based on the standard age categories. The parameters used in this research is the truth age value of 100 image crop cultivation samples based on the number of pixel accounts on the system. Result shows that system has accuracy of 81% on plants age identification.