Page 57 - 2025S

50 UEC Int’l Mini-Conference No.54

Figure 1: The overall process used in this study to identify medicinal plant species using leaf images.

are beneficial for specific diseases [23]. Conse- identification.
quently, in critical situations, individuals are un- To bridge this research gap, this study aims to
able to obtain appropriate treatment from envi- evaluate the performance of five advanced deep
ronmental medicinal plants and must rely solely learning algorithms (DenseNet201, VGG16, Mo-
on hospitals, pharmacies, and medical special- bileNetV2, ResNet50, and Xception) using real-
ists. To overcome this challenge, we developed field images of medicinal plants. Among these
a real-time application that helps users recog- techniques, DenseNet201 achieved the highest
nize the correct medicinal herbs and learn about accuracy of 99.00%. The main goal of this study
the plant’s benefits. Image recognition technol- is to reduce reliance on human vision for identi-
ogy has become more sophisticated and is uti- fying medicinal plants by developing automated
lized in various kinds of industries, for exam- system. The major contributions of this
ple, face identification, object detection, med- paper are:
ical imaging, etc., as computer vision technol- • The study introduces a real-time, au-
ogy has advanced and gained popularity [7], [27]. tomated system using DL, (specifically
People will be able to identify and utilize ther- CNNs) that enables non-experts to identify
apeutic herbs in any serious situation. This ap- Bangladeshimedicinal plants through leaf
plication can assist in providing initial first aid images.
treatment and will significantly benefit society.
Since medicines are essential for curing differ- • MPIcam eliminates the reliance on expert
ent types of diseases and maintaining a healthy knowledge or human observation for identi-
lifestyle [30], it is crucial for people seeking im- fying herbal plants, thereby enhancing ac-
portant herbs to ensure their accurateObjective cessibility to herbal medicine in remote or
emergency situations.