Knowledge of medicinal plant species is necessary to preserve medicinal plants and
safeguard biodiversity. The classification and identification of these plants by botanist …

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 …

Herbal leaf classification is an important task in botany and pharmacology with the
increasing demand for natural remedies, accurate identification and classification of herbal …

Skin health is a critical concern for humans, especially in geographical areas where
environmental conditions and lifestyle factors adversely affect their condition, leading to a …

Ayurvedic leaf is a key source of medicinal leaf which is used from the ancient period time
and is known for its rich medicinal values and effectiveness. So the identification of the leaf …

The Indian medical practise of Ayurveda has gained international renown. Herbal
preparations are the basis of Ayurveda medicine. The pharmaceutical industry is beginning …

Agriculture is playing prominent role in day to day life of every individual. Food is the basic
need of every living organism in the world. Agriculture builds and gives life to biotic …

Identification of medicinal plants is a difficult undertaking. It needs an expert's presence to
recognize them. The goal of this study is to enhance existing classification and recognition …

Medicinal plant identification has shown great benefit from deep learning, especially when
CNNs are employed. CNNs are ideally suited for this task since they can extract complex …

This article presents an analysis of the application of machine learning algorithms to predict
energy demand based on temperature and humidity data. Extensive research has been …