AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS

MATHIVANAN M; GOKUL KRISHNA A; NAVEEN V; NITHYA M

AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS

October 2023

Vol-9, Issue-5

Paper ID: 21785

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

COMPUTER ENGINEERING

Keywords

Medicinal plants Deep learning Image recognition Botanical science Healthcare innovation Real-time identification.

Abstract

In the realm of botanical science and healthcare, the automated real-time identification of medicinal plants represents a groundbreaking development. This paper explores the innovative fusion of deep learning technologies to create a system capable of instantaneously identifying medicinal plants from images. The primary objective is to revolutionize the field of botany and herbal medicine by enabling quick, accurate, and accessible plant recognition. The proposed methodology includes the development of a deep learning model trained on a diverse dataset of plant images, empowering the system to make real-time identifications through image capture. By harnessing the power of deep learning, this paper pioneers a transformative approach to the identification of medicinal plants, offering a solution that bridges the gap between traditional botanical knowledge and cutting-edge technology

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Author Information

#	Name	Institute / Affiliation
1	MATHIVANAN M	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
2	GOKUL KRISHNA A	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
3	NAVEEN V	BANNARI AMMAN INSTITUTE OF TECHNOLOGY
4	NITHYA M	BANNARI AMMAN INSTITUTE OF TECHNOLOGY

How to Cite

Use the following formats to cite this article in your research.

APA Style

MATHIVANAN M, A, GOKUL KRISHNA, V, NAVEEN, & M, NITHYA (2023). AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS. International Journal of Advance Research and Innovative Ideas In Education, 9(5), 1739-1745.

MLA Style

MATHIVANAN M, et al. "AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, 2023, pp. 1739-1745.

IEEE Style

MATHIVANAN M, GOKUL KRISHNA A, NAVEEN V, and NITHYA M, "AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 5, pp. 1739-1745, 2023.

Vancouver Style

MATHIVANAN M, A GOKUL KRISHNA, V NAVEEN, M NITHYA. AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(5):1739-1745.

Harvard Style

MATHIVANAN M, A, GOKUL KRISHNA, V, NAVEEN, & M, NITHYA (2023) 'AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS', International Journal of Advance Research and Innovative Ideas In Education, 9(5), pp. 1739-1745.

Chicago Style

MATHIVANAN M, et al. "AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1739-1745.

Turabian Style

MATHIVANAN M, et al. "AUTOMATED REAL-TIME IDENTIFICATION OF MEDICINAL PLANTS SPECIES IN NATURAL ENVIRONMENT USING DEEP LEARNING MODELS." International Journal of Advance Research and Innovative Ideas In Education 9, no. 5 (2023): 1739-1745.