Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic

Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic have?

Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic has 107 citations in the OpenAlex counts ScholarIQ stores.

When was Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic published?

Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic has 2022 year in the ScholarIQ index.

What is the open-access status of Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic?

Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic has closed oa status in the ScholarIQ index.

What is the DOI of Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic?

The DOI for Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic is on the source record.

What is the OpenAlex record for Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic?

The OpenAlex for Automatic detection and severity analysis of grape black measles disease based on deep learning and fuzzy logic is on the source record.