Insights of Herbal Medicine(IHM)

School of Natural Resource Management and Environmental Sciences, College of Agriculture and Environmental Sciences, Haramaya University, Ethiopia

Publications

• Research Article   
  Identification of Selected Ethiopian Traditional Medicinal Plants Using Digital Image Processing and Deep Learning Techniques
  Author(s): Habtamu Alebel*, Million Meshesha, Wabi Jifara and Girma Asefa
  
  Ethiopia is rich in biodiversity, and its vast landscape offers a variety of medicinal plants with significant cultural and therapeutic importance. The study is conducted to identify medicinal plants using image processing and deep learning techniques. This study explores both pre-trained models (such as VGG-16 and ResNet-50) and CNN sequential for creating models from scratch. Experimental results show that the Medicinal Plant Identification (MPI) model constructed from scratch performs better with test accuracy of 99.90% and an F-score of 99.00% performance as compared to pre-trained models such as VGG-16 and ResNet-50. The proposed model achieves high accuracy in image classification by utilizing multiple convolutional layers that capture fine- grained patterns in images... Read More»
  

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