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A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification

PaperCitations, authors & open-access status

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification is a paper indexed in ScholarIQ from OpenAlex.

How many citations does A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification have?

ScholarIQcitation count

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification has 3 citations in the OpenAlex counts ScholarIQ stores.

When was A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification published?

ScholarIQyear

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification has 2026 year in the ScholarIQ index.

What is the open-access status of A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification?

ScholarIQoa status

A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification has gold oa status in the ScholarIQ index.

What is the DOI of A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification?

ScholarIQdoi

The DOI for A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification is on the source record.

What is the PMID of A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification?

ScholarIQpmid

The PMID for A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification is on the source record.

What is the OpenAlex record for A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification?

ScholarIQopenalex

The OpenAlex for A hybrid deep learning and fuzzy logic framework for robust tomato disease detection and classification is on the source record.

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