This paper describes a fruit counting pipeline based
 on deep learning that accurately counts fruit in unstructured
 environments.Finally, a linear regression model maps
 that fruit count estimate to a final fruit count.A
 blob detector based on a fully convolutional network extracts
 candidate regions in the images.