Medical, Aromatic, and Narcotic Plants Classification using an Artificial Neural Network

Medical, Aromatic, and Narcotic plants are a natural treasure that grows in the desert without human being interference. They can be used pharmaceutical industries (medicines), medical usage (medical anesthetic), perfumes industries, cooking. Thus, they very useful, available, utilized for sake of beings. On other hand, some these harmful to our bodies must strictly prohibited. So, it is necessary design implement an image processing system detect plants. This applied by Ministry Agriculture Armed Force. After surveying deserts taking photos small camera attached drone, can  inserted into type captured plant take action. In this paper, automatic computer vision proposed identify six types First, nine-class collected database prepared. Second, artificial neural network-based framework, which uses color, DWT, ratio between major minor axes plants, Tamura statistical texture features, employed classify Outcomes results suggested have competed with several techniques such as SVM, Naive Bayes, KNN, decision tree, discriminant analysis classifiers. Results reveal has highest overall recognition rate, 94.3%, among techniques.