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Publication: IIP Proceedings Year: 2022, Month: November Page No: 176-181, ISSN/ISBN: 978-93-95632-69-0, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20236E112DE0E1E853C.pdf
AYURVEDIC LEAF DETECTION USING RASPBERRY PI
Area/Stream: IOT, Authors: Shilpa H, Anusha M, Nithyashree H T, Vidyashree U, Annaiah H Keywords: Raspberry pi; CNN; leaf detection; ayurvedic Book Name /series: Futuristic Trends in IOT, Volume 2, Book 15, Part 4, Chapter 2Publication: IIP Proceedings Year: 2022, Month: November Page No: 176-181, ISSN/ISBN: 978-93-95632-69-0, DOI/Link: https://www.rsquarel.org/assets/docupload/rsl20236E112DE0E1E853C.pdf
Abstract:
There are numerous ways for classifying herbal plants based on leaf authenticity now available. Leaf authentication is essentially a visual comparison of photos captured by a camera with a reference visual image. The goal of this paper is to use artificial intelligence, namely the convolutional neural network (CNN), to recognize ayurvedic leaves using the Raspberry Pi. CNN has the advantage of not requiring feature extraction because it has an automated feature extraction technique built in. The leaves of four distinct ayurvedic plants are separated into two thirds training data and one-third testing data in this paper. The remaining data not involved in training and testing of the system will be used to validate the outcomes of the CNN-based identification system.
Cite this: Shilpa H, Anusha M, Nithyashree H T, Vidyashree U, Annaiah H,"AYURVEDIC LEAF DETECTION USING RASPBERRY PI", Futuristic Trends in IOT, Volume 2, Book 15, Part 4, Chapter 2, November, 2022, 176-181, 978-93-95632-69-0, https://www.rsquarel.org/assets/docupload/rsl20236E112DE0E1E853C.pdf
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