OVERVIEW OF RECENT DEEP LEARNING METHODS APPLIED IN FRUIT COUNTING FOR YIELD ESTIMATION
DOI:
https://doi.org/10.24193/subbi.2020.2.04Keywords:
smart-agriculture, deep learning, yield estimation, transfer learning, intersection over union, F1-score.Abstract
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.
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