RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism is a paper indexed in ScholarIQ from OpenAlex.
How many citations does RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism have?
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism has 188 citations in the OpenAlex counts ScholarIQ stores.
When was RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism published?
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism has 2021 year in the ScholarIQ index.
What is the open-access status of RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism?
RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism has closed oa status in the ScholarIQ index.
What is the DOI of RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism?
The DOI for RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism is on the source record.
What is the OpenAlex record for RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism?
The OpenAlex for RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism is on the source record.