A Review on Automatic Plant Species Recognition System by Leaf Image Using Machine Learning in Indian Ecological System

 India is the land of agriculture with many varieties of plant species. These species have different uses in the medical, food, and harvesting industries. Despite having such a large collection of plants and agricultural assets, most of the Indian population is not aware of the goodness and properties of these precious plants except the usual ones. In this chapter, discussion and possibilities in this area are given and explored for the awareness of Indian people regarding the Indian plants. In this area, artificial intelligence and machine learning will likely develop an automated detecting machine that can classify and describe the plants by their images of leaves, bark, flowers, and stems. Looking forward in this direction, this chapter discusses an AI and ML based technique to recognize vegetation by the image of its leaves. In this approach, SIFT and ORB-based technique removes leaf image features and then tests the data set to match with a trained data set. The system is trained with 32 plant leaves. Henceforth, this system can recognize these plants by the image of their leaves. The uniqueness of this system is its data set. In the data set, the image of the leaf is prepared so that both sides of a leaf can be used to recognize the plant. This increase distinguishes the image irrespective of its color and shape. The system is still in an evolving phase that has the target of including all rare and useful plant information in this dataset. This system is very useful to preserve the information of all users, rare plants and those plants that are about to be extinct.

Keywords: Agriculture, Image Feature extraction, KNN Classifier, KNN/BF Matcher, Machine learning, ORB, Plants, SIFT.