PLANT IDENTIFICATION USING MACHINE LEARNING

PLANT IDENTIFICATION USING MACHINE LEARNING

Harisha K S1,Pavitra M H2, Spandana S R3, Shruthi B S4,Archana B S5

1 Assistant Professor, Department of Electronics and communication engineering1

2,3,4,5 B.E. Students, Department of Electronics and Communication Engineering

Government Engineering College Haveri,

Visvesvaraya technological university, Belagavi

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Abstract - The preservation of therapeutic plants is crucial as it will help a broad variety of sectors, including medicine, botanic research, and plant taxonomy studies, among others. Existing technologies cannot imitate the range of therapeutic plant species present in India. The suggested technique facilitates the classification of medicinal plants by exploiting textural aspects crucial in leaf recognition and identification. The three key phases of the proposed technique are picture enhancement, feature extraction, and classification. The photographs of the leaves are shot using cellphones and then processed using digital image processing algorithms to extract the features that may be compared between them. Finally, the CNN classifier is employed to develop an automated classifier.

Key Words:  Plant identification, CNN algorithm, Image processing.