2017
Counting Apples and Oranges With Deep Learning: A Data-Driven Approach
RA-L 2017
This paper describes a fruit counting pipeline based on deep learning that accurately counts fruit in unstructured environments. Obtaining reliable fruit counts is challenging because of variations in appearance due to illumination changes and occlusions from foliage and neighboring fruits. We propo