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RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism

PaperCitations, authors & open-access status

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 PICO Portal 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?

PICO Portalcitation count

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 PICO Portal stores.

When was RIC-Net: A plant disease classification model based on the fusion of Inception and residual structure and embedded attention mechanism published?

PICO Portalyear

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 PICO Portal 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?

PICO Portaloa status

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 PICO Portal 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?

PICO Portaldoi

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?

PICO Portalopenalex

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.

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