Medicinal plants have played an integral role in people’s lives especially with the growing interest in Ayurveda and Natural remedies which bring about little to no side effects. Since ancient times, people have always turned to medicinal plants for therapeutic and medicinal values along with their potential health benefits. Identification of these medicinal plants may bring about a safe and effective way of using these plants to harbor the desired effect. Using deep learning by leveraging the power of transfer learning with EfficientNetV2 architecture, we make this process efficient and accurate. Specifically, Convolutional Neural Networks (CNNs) are utilized to detect these medicinal plants accurately. Unlike traditional methods, which may be laborious and prone to errors, our approach harnesses the efficiency and accuracy of deep learning.

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AyurBotanica—Identification of Medicinal Plants using Deep Learning

  • K. Vijay,
  • K. S. J. Sneha,
  • A. Satyanaryana

摘要

Medicinal plants have played an integral role in people’s lives especially with the growing interest in Ayurveda and Natural remedies which bring about little to no side effects. Since ancient times, people have always turned to medicinal plants for therapeutic and medicinal values along with their potential health benefits. Identification of these medicinal plants may bring about a safe and effective way of using these plants to harbor the desired effect. Using deep learning by leveraging the power of transfer learning with EfficientNetV2 architecture, we make this process efficient and accurate. Specifically, Convolutional Neural Networks (CNNs) are utilized to detect these medicinal plants accurately. Unlike traditional methods, which may be laborious and prone to errors, our approach harnesses the efficiency and accuracy of deep learning.