A NOVEL APPROACH FOR CLASSIFICATION OF PLANT SPECIES USING CONVOLUTION NEURAL NETWORK

Abstract

Farmers and botanists need application to classify the plant species. In the forest areas large plant species are available. There is lots of plant species used for medical application. Then we understand the biodiversity of plant species. Our objective is to identify the vascular plant species from the long tailed collection. That vascular land plants contain lycophytes, ferns, gymnosperms and flowering
plants. Image analysis helps to classify the plant species. Plant species classification is implemented with the help of deep convolutional neural networks. There are lots of plant species parameters available. Family, Species and genus is used for the plant classification model. The accuracy achieved from this model is94.8%