AIMC Topic: Melanthiaceae

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Extended application of deep learning combined with 2DCOS: Study on origin identification in the medicinal plant of Paris polyphylla var. yunnanensis.

Phytochemical analysis : PCA Jul 6, 2021
INTRODUCTION: Medicinal plants are very important to human health, and ensuring their quality and rapid evaluation are the current research concerns. Deep learning has a strong ability in recognition. This study extended it to the identification of m...
Deep Learning Plants, Medicinal Spectrum Analysis Melanthiaceae Liliaceae
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Study on the identification and evaluation of growth years for Paris polyphylla var. yunnanensis using deep learning combined with 2DCOS.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy May 30, 2021
Paris polyphylla var. yunnanensis, as perennial plants, its quality is closely related to growth period. Different harvest years determine the dry matter accumulation of its medicinal parts and the dynamic accumulation of active ingredients, as well ...
Deep Learning Plants, Medicinal Rhizome Melanthiaceae Liliaceae
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Traceability of wild Paris polyphylla Smith var. yunnanensis based on data fusion strategy of FT-MIR and UV-Vis combined with SVM and random forest.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Jul 24, 2018
Paris polyphylla Smith var. yunnanensis (Franch.) Hand.-Mazz (PPY) was a frequently used herbal medicine in pharmaceutical field and different provenances might affect the clinical efficacy. Tracing the geographical origin was an important portion fo...
Plant Extracts Support Vector Machine Spectroscopy, Fourier Transform Infrared Decision Trees Spectrophotometry, Ultraviolet Melanthiaceae
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