Patent ID: 11925133
Assignee: nan
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 0:
1. An apparatus, comprising:
an image sensor;
an electronic display screen;
a processor; and
a memory storing computer program code executable by the processor to perform operations, the operations comprising:
receiving an image of a corn leaf taken by the image sensor;
processing the image of the corn leaf using multiple machine learning models, each of the multiple machine learning models determining one or more likelihoods that the corn leaf has a plurality of diseases, the multiple machine learning models comprising at least one convolutional neural network selected from the group comprising of:
a mobile convolutional neural network using depth wise separable convolutions applying a single filter to each input channel and performing a one-by-one pointwise convolution to combine the results across all of the input channels;
a residual convolutional neural network with multiple stacked nonlinear layers and an identity mapping; and
a deep convolutional neural network comprising a plurality of fully connected layers and a plurality of convolutional layers each with a three-by-three receptive field with a one pixel stride;

determining whether the corn leaf has any of the plurality of diseases based on the one or more likelihoods; and
displaying, in response to determining that the corn leaf has one or more of the plurality of diseases, the one or more of the plurality of diseases to a user on the electronic display screen.