PLANT-IDENTIFICATION FROM LEAVES USING QUASI-SENSOR FUSION

The method described here identifies plants by using a machine vision technique. This method achieves effective image detection independent of surrounding conditions, dimensionless image detection in each growt h stage, and determination of the critical factor for discriminating i ndividual plants. These are the fundamental factors for successful aut omatic thinning, cropping, weeding, and harvesting using intelligent a gricultural robots. Color, aspect ratio, size, radius permutation in l eaf profiles, complexity, and curvature are used to classify each plan t. Effective discrimination is obtained by using a quasi-sensor fusion combined with a total occurrence range for decision making.