Received: 21-08-2013 / Accepted: 29-10-2013
Computer vision is an inter-discipline research field, which has many real life applications. One of the important tasks is to identify and classify objects from their digital images. Computer vision has been applied successfully in many fields of agriculture such as agricultural automation, precision agriculture, classification of agricultural products and identification (trees, weeds, fruits etc). This paper presents the application of the computer vision technique to leaf image classification by using Support Vector Machine (SVM). The experimental results with classification accuracy of 98% showed the success of using SVM to classify leaf images. This also showed that the approach can be employed for other practical applications effectively.