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Yield and maturity estimation of apples in orchards before harvest is essential for labor resource management. Current yield and maturity estimation are usually manually conducted, which is neither accurate nor efficient. In this paper, a 3-step deep learning–based approach for yield estimation and maturity classification is presented to address these issues. The proposed framework included an optimized detection network to count the visible fruits from both sides of a tree, a classificationdoi:10.15586/qas.v14i2.1008 fatcat:wzjx3yqhjzff3nwworwlw2s354