medicine plant identification using deep learning model

Project Code :TEMBMA3708

Objective

The main objectives of this project are to identify various medicinal plants using a deep learning model based on leaf and plant image classification. It utilizes features like leaf shape, texture, and color to accurately distinguish between plant species. This system aids in preserving traditional knowledge, supporting herbal research, and enabling quick field-level plant recognition.

Abstract

This project presents a medicinal plant identification system using Raspberry Pi, USB web camera, LCD display, and a CNN-based deep learning model. The web camera captures images of plant leaves, and the CNN model processes the images to accurately identify medicinal plants based on their visual features. The identified plant name is displayed on the LCD screen for easy user interaction. The proposed system provides a low-cost, portable, and real-time solution for medicinal plant recognition, reducing dependency on expert knowledge and supporting smart botanical applications.

Keywords: Raspberry Pi, CNN, Medicinal Plant Identification, Deep Learning, Image Classification, USB Web Camera, LCD Display, Plant Recognition, Smart Agriculture, Botanical Monitoring, Leaf Image Analysis, Real-Time Detection.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.