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RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios

PaperCitations, authors & open-access status

RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios is a paper indexed in PICO Portal from OpenAlex.

How many citations does RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios have?

PICO Portalcitation count

RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios has 9 citations in the OpenAlex counts PICO Portal stores.

When was RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios published?

PICO Portalyear

RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios has 2025 year in the PICO Portal index.

What is the open-access status of RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios?

PICO Portaloa status

RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios has closed oa status in the PICO Portal index.

What is the DOI of RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios?

PICO Portaldoi

The DOI for RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios is on the source record.

What is the OpenAlex record for RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios?

PICO Portalopenalex

The OpenAlex for RLCFE-Net: A reparameterization large convolutional kernel feature extraction network for weed detection in multiple scenarios is on the source record.

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