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 …

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 …

Ardabil is well-known for offering the ideal environment for a good, cheap medicinal herb.
Various plant parts are used as essential components in producing natural medicines …

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 …

Plants are one of the most important elements since they provide oxygen, which is
necessary for human survival. Plant recognition applications have been widely developed …

Leaf identification is a challenging research. So far, many approaches have been proposed.
In this paper, an approach that combines Fourier descriptors with other shape features was …

This paper present an automated medicinal plant leaf identification system. The Colour
Texture analysis of the leaves is done using the statistical, the Grey Tone Spatial …

Selection of leaf features that are appropriate for identification is very important. Local Binary
Patterns (LBP) is one of texture feature that is efficiency and robustness for plant …

Plant species identification is a digitally challenging object for a better classification such as
in taxonomy resources problem. Feature selection as a preprocessing technique in data …

Abstract tertentu. Identifikasi dapat dilakukan dengan bantuan herbarium/ahli botani atau
text book mengenai taksonomi/dendrologi, namun cara tersebut tidak efisien. Oleh karena …