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.
