MangoSense: A time-series vision sensing dataset for mango tree segmentation and detection toward yield prediction
Abstract: Highlights•Time-series mango orchard image dataset collected across multiple orientations.•Semi-automatic annotation using YOLO and SAM significantly reduces manual effort.•SegFormer and YOLO identified as top models for flower and fruitlet feature extraction.•Wind direction shown to influence flower-to-fruit conversion and yield variation.•Ground-truth fruit counts included to enable future yield prediction model development.
External IDs:dblp:journals/cea/VenSA25
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