Machine Learning Based Ayurvedic Plant Leaf Identification

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Details

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.

Autorentext

O Dr. Kazi Kutubuddin Sayyad Liyakat completou a sua licenciatura, mestrado e doutoramento em Engenharia E&TC e trabalha atualmente como Professor e Chefe de Departamento, Departamento de Engenharia E&TC. Ele é bolsista de pós-doutorado trabalhando em IoT em aplicativos de saúde. A sua área de interesse é IoT, IoRT, IoBT, AI, ML e AIIoT.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786208421014
    • Genre Electrical Engineering
    • Sprache Englisch
    • Anzahl Seiten 68
    • Herausgeber LAP LAMBERT Academic Publishing
    • Größe H220mm x B150mm x T5mm
    • Jahr 2025
    • EAN 9786208421014
    • Format Kartonierter Einband
    • ISBN 6208421012
    • Veröffentlichung 03.01.2025
    • Titel Machine Learning Based Ayurvedic Plant Leaf Identification
    • Autor Kutubuddin Sayyad Liyakat Kazi
    • Untertitel DE
    • Gewicht 119g

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