ScholarIQanswers from OpenAlex

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild

PaperCitations, authors & open-access status

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild have?

ScholarIQcitation count

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild has 558 citations in the OpenAlex counts ScholarIQ stores.

When was Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild published?

ScholarIQyear

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild has 2018 year in the ScholarIQ index.

What is the open-access status of Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild?

ScholarIQoa status

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild has closed oa status in the ScholarIQ index.

What is the DOI of Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild?

ScholarIQdoi

The DOI for Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild is on the source record.

What is the OpenAlex record for Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild?

ScholarIQopenalex

The OpenAlex for Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild is on the source record.

Related on ScholarIQ

470M+ articles · 14-day free trial