Plant Classification based on Leaves using Artificial Neural Network

Manual methods to examine leaf for plant classification can be tedious, therefore, automation is desired. Existing try distinctive approaches accomplish this task. Nowadays, Convolution Neural Networks (CNN) are widely used such application which achieves higher accuracy. However, CNN's computationally expensive and require extensive dataset training. Other existing far less resource but they also have their shortcomings example, some features cannot processed accurately with automation, necessary differentiators left out. To overcome this, we proposed a simple Artificial Network (ANN) automatic of plants based on features. Experimental results show that the algorithm able achieve an accuracy 96% by incorporating only single hidden layer ANN. Hence, our approach efficient compared CNN methods.