Deep learning for medicinal plant species classification and recognition: a systematic review
AK Mulugeta, DP Sharma, AH Mesfin - Frontiers in Plant Science, 2024 - frontiersin.org
Knowledge of medicinal plant species is necessary to preserve medicinal plants and
safeguard biodiversity. The classification and identification of these plants by botanist …
safeguard biodiversity. The classification and identification of these plants by botanist …
A Systematic Review of Medicinal Plant Identification Using Deep Learning
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 …
This systematic review analyses 30 studies on deep learning for automated medicinal plant …
Two-dimensional code enables visibly mapping herbal medicine chemome: an application in Ganoderma lucidum
Q Wang, W Liu, B Peng, X Gong, J Shi, K Zhang, B Li… - Chinese Medicine, 2023 - Springer
Background Chemical profile provides the pronounced evidence for herbal medicine (HM)
authentication; however, the chemome is extremely sophisticated. Fortunately, two …
authentication; however, the chemome is extremely sophisticated. Fortunately, two …
Deep Learning untuk Identifikasi Daun Tanaman Obat Menggunakan Transfer Learning MobileNetV2
RJH Butar-Butar, NL Marpaung - Jurnal Informatika …, 2023 - ejournal.poltekharber.ac.id
Medicinal plants are plants used as alternative medicines for healing or preventing various
diseases due to their active substances. The utilization of medicinal plants in Indonesia has …
diseases due to their active substances. The utilization of medicinal plants in Indonesia has …
[HTML][HTML] A deep learning method for differentiating safflower germplasm using optimal leaf structure features
H ThienVan, PT Khuat, T Van, TT Tuan… - Ecological Informatics, 2025 - Elsevier
Medicinal plants, such as safflower (Carthamustinctorius), are essential in both conventional
and modern healthcare. This study evaluatesthe reliability of leaf image classification for …
and modern healthcare. This study evaluatesthe reliability of leaf image classification for …
Gabor filter-based statistical features for ADHD detection
Attention deficit/hyperactivity disorder (ADHD) is a neuropsychological disorder that occurs
in children and is characterized by inattention, impulsivity, and hyperactivity. Early and …
in children and is characterized by inattention, impulsivity, and hyperactivity. Early and …
Multi-Attribute Deep CNN-Based Approach for Detecting Medicinal Plants and their Use for Skin Diseases
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 …
environmental conditions and lifestyle factors adversely affect their condition, leading to a …
Query-based information retrieval system adopting whale manhattan optimization-based deep belief neural network
D Dahiya - Multimedia Tools and Applications, 2024 - Springer
Abstract The Information Retrieval system aims to discover relevant documents and display
them as query responses. However, the ever-changing nature of user queries poses a …
them as query responses. However, the ever-changing nature of user queries poses a …
AI-Driven Pattern Recognition in Medicinal Plants: A Comprehensive Review and Comparative Analysis.
The pharmaceutical industry increasingly values medicinal plants due to their perceived
safety and cost-effectiveness compared to modern drugs. Throughout the extensive history …
safety and cost-effectiveness compared to modern drugs. Throughout the extensive history …
A novel approach using hybrid deep features for citrus disease detection and classification based on NCA and Bayesian optimised random forest classifier
S Gondal, S Agrawal - International Journal of Services …, 2024 - inderscienceonline.com
In this paper, deep features are retrieved from the citrus disease image gallery dataset using
the AlexNet convolutional neural network. After data augmentation, the image dataset is sent …
the AlexNet convolutional neural network. After data augmentation, the image dataset is sent …