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Ayurvedic plant leaf identification will become increasingly important as more people resort to alternative and natural medicines. Machine learning-based Ayurvedic plant leaf identification is a novel technique that could completely change Ayurvedic medicine practices. Accurately identifying and categorising plant species can aid in improved disease control and treatment. To overcome these obstacles and guarantee the precision and dependability of the outcomes, more research and development in this area is necessary. Ayurveda has the potential to flourish and support individuals in leading…mehr

Produktbeschreibung
Ayurvedic plant leaf identification will become increasingly important as more people resort to alternative and natural medicines. Machine learning-based Ayurvedic plant leaf identification is a novel technique that could completely change Ayurvedic medicine practices. Accurately identifying and categorising plant species can aid in improved disease control and treatment. To overcome these obstacles and guarantee the precision and dependability of the outcomes, more research and development in this area is necessary. Ayurveda has the potential to flourish and support individuals in leading healthier, more balanced lives by combining ancient knowledge with modern technologies.
Autorenporträt
Dr. Kazi Kutubuddin Sayyad Liyakat has completed his B.E., M.E., and Ph.D. in E&TC Engineering and is nowadays working as a Professor & Head of Department, E&TC Engineering Department. He is Post-Doctoral Fellow working on IoT in Healthcare Applications. His area of Interest is IoT, IoRT, IoBT, AI, ML, and AIIoT.