Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases

Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases is a paper indexed in PICO Portal from OpenAlex.

How many citations does Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases have?

Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases has 44 citations in the OpenAlex counts PICO Portal stores.

When was Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases published?

Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases has 2023 year in the PICO Portal index.

What is the open-access status of Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases?

Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases has closed oa status in the PICO Portal index.

What is the DOI of Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases?

The DOI for Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases is on the source record.

What is the OpenAlex record for Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases?

The OpenAlex for Hybrid CNN & Random Forest Approach for Accurate Identification of Tomato Plant Diseases is on the source record.