Medicinal plants are essential to healthcare since ancient times and are integral to
develo** drugs and other medical treatments. More than 25% of medicines in developed …

Medicinal plants fulfil critical global health needs, but reliable identification poses barriers.
This systematic review analyses 30 studies on deep learning for automated medicinal plant …

Real-time plant species detection plays an important role in fields ranging from medicine to
biodiversity conservation. Images captured under unconstrained environments, scale …

Recent studies have focused on using big-data-based machine learning to address the
effects of climate change scenarios on the production and quality of medicinal plants …

Background Medicinal plants are crucial for traditional healers in preparing remedies and
also hold significant importance for the modern pharmaceutical industry, facilitating drug …

The challenge of bankruptcy prediction, critical for averting financial sector losses, is
amplified by the prevalence of imbalanced datasets, which often skew prediction models …

Ethiopia is renowned for its rich biodiversity, supporting a diverse variety of medicinal plants
with significant potential for therapeutic applications. In regions where modern healthcare …

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 …

This study proposes a novel approach for identi-fying plant leaves using a combination of
handcrafted visual leaf image features (shape, color, texture, and preliminary vein …

Driven by significant a dvancements in computer vision, image classification h as e ntered ar
evolutionary phase with improved accuracy and prospective applications. Nowadays …