Herbsnap: Advanced Classification of Bhringaraja and Honegone Herbal Species

    September 2024
    Mamatha Balipa, Poornima Panduranga Kundapur, Adarsh Kumar, Anusha
    Studysummary This study used machine learning models, such as Convolutional Neural Networks (CNN), to accurately differentiate False Daisy from similar plants like Smooth Joyweed.
    Our plain-language summary. Not medical advice or a treatment recommendation. Consult a qualified healthcare professional before changing treatment. Full disclaimer
    The document discusses the use of machine learning models, specifically Convolutional Neural Networks (CNN) and Support Vector Machines (SVM), to accurately differentiate between False Daisy (Eclipta prostrata) and Smooth Joy Weed, which are visually similar. False Daisy is valued in traditional medicine for its hair growth, liver function, pain relief, and antibacterial properties. The study highlights the effectiveness of these models in identifying complex patterns within images to improve the classification of these herbal species.
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