The project "Identification of Medicinal Plants using CNN" leverages deep learning techniques to automate the classification of medicinal plants based on their leaf images. This endeavor holds immense ...

This project uses Convolutional Neural Networks (CNNs) to identify medicinal plants from images. By training on a dataset of plant images, the model achieves high accuracy in plant classification, ...

Kew’s Small Molecule Analysis Laboratory, for example, profiles small molecules produced by plants and fungi to help identify chemical structures that might be useful for drug development.

A long-lost tree species has new life after scientists planted a 1,000-year-old seed found in a cave in the Judean Desert in ...

Morphine, extracted/isolated from the opium poppy, was the first plant-derived natural product, which was first reported in 1806 and marked as the beginning of plant metabolites research. In the ...

But the scientists conducting the new research weren’t able to identify the type of tree ... the source of the biblical “tsori,” a medicinal plant extract associated with the historical ...

Medicinal Plants,Model Inference,Monkeypox Virus,Moringa Oleifera,Multilayer Perceptron,Object Detection Model,Oleander,Parameter Selection,Phase Of Work,Plant Identification,Precise ...

An estimated 80 per cent of the Peruvian population depend on medicinal plants for their healthcare. However, the botanical identification and scientific evaluation of plants in use by healers is ...

Color Features,Confusion Matrix,Convolutional Neural Network,Convolutional Neural Network Model,Corner Cases,Data Augmentation,Deep Learning,Deep Learning Approaches,Deep Learning Techniques,Digital ...

These medicinal plants include novel compounds based on a computational technique that can be used to treat insomnia. Researchers had identified two natural compounds from Ocimum tenuiflorum and ...