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Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification

PaperCitations, authors & open-access status

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification have?

ScholarIQcitation count

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification has 66 citations in the OpenAlex counts ScholarIQ stores.

When was Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification published?

ScholarIQyear

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification has 2022 year in the ScholarIQ index.

What is the open-access status of Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification?

ScholarIQoa status

Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification has gold oa status in the ScholarIQ index.

What is the DOI of Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification?

ScholarIQdoi

The DOI for Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification is on the source record.

What is the OpenAlex record for Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification?

ScholarIQopenalex

The OpenAlex for Custom CornerNet: a drone-based improved deep learning technique for large-scale multiclass pest localization and classification is on the source record.

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