Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network

Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network have?

Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network has 45 citations in the OpenAlex counts ScholarIQ stores.

When was Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network published?

Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network has 2020 year in the ScholarIQ index.

What is the open-access status of Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network?

Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network has closed oa status in the ScholarIQ index.

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The DOI for Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network is on the source record.

What is the OpenAlex record for Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network?

The OpenAlex for Identification of tea foliar diseases and pest damage under practical field conditions using a convolutional neural network is on the source record.