Publications by authors named "Mulugeta Adibaru Kiflie"
Article Synopsis
- * The research developed a deep learning model using transfer learning techniques and tested it on a dataset of 1,853 leaf images across 35 plant species, achieving impressive classification results.
- * Fine-tuning the models, particularly VGG19, significantly improved accuracy, with VGG19 reaching 94%, and an overall conclusion that fine-tuning is a highly effective strategy for enhancing deep learning performance in plant identification.
Knowledge of medicinal plant species is necessary to preserve medicinal plants and safeguard biodiversity. The classification and identification of these plants by botanist experts are complex and time-consuming activities. This systematic review's main objective is to systematically assess the prior research efforts on the applications and usage of deep learning approaches in classifying and recognizing medicinal plant species.
View Article and Find Full Text PDF