TY - JOUR AU - Mureșan, H.B. AU - Călin, A.D. AU - Coroiu, A.M. PY - 2020 TI - Overview of Recent Deep Learning Methods Applied in Fruit Counting for Yield Estimation JF - Studia Universitatis Babeș-Bolyai Informatica; Vol 65 No 2 (2020) DO - 10.24193/subbi.2020.2.04 KW - N2 - This paper is an overview of the latest advancements of image recognition for fruit counting and yield estimation. Considering this domain is developing rapidly, we have considered the cutting-edge literature in the field, for the last 5 years, focused on the task of yield estimation by detecting and counting fruit in the tree canopy. This is a much more complex task than the classification of fruit post-harvesting, which has been more widely reviewed. Moreover, we identify the major challenges and propose the next steps for advancing this research field. UR - https://www.cs.ubbcluj.ro/~studia-i/journal/journal/article/view/58