Medicinal plants are gaining attention in the pharmaceutical industry due to having less
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …

Plants are fundamentally important to life. Key research areas in plant science include plant
species identification, weed classification using hyper spectral images, monitoring plant …

The work aims to develop an automatic recognition model to classify medicinal plants using
machine learning techniques to enrich the traditional medical system of India. Though many …

The work aim to develop an automatic recognition model using IoT and machine learning
(ML) techniques for the classification of therapeutic plants to enrich the traditional medicinal …

Classifying plant species has taken much attention in the research area to help people
recognizing plants easily. In recent years, the convolutional neural networks (CNN) have …

The identification of plant species is fundamental for effective study and management of
biodiversity. For automated plant species classification, a combination of leaf features like …

To facilitate the recognition and classification of medicinal plants that are commonly used by
Mauritians, a mobile application which can recognise seventy different medicinal plants has …

Over the years, scientists have discovered bioactive chemicals in many of the plants that
have been traditionally utilized as medicinal medicines. However, identifying plant species …

Identification of medicinal plants correctly is crucial in Ayurvedic medicine. By their visual
characteristics and scent, plants are recognized by human experts. Negative effects could …

The aim of this paper is to investigate the effects of combining various sampling and
ensemble classifiers on the prediction performance in addressing the multiclass imbalance …