Multi-class detection of kiwifruit flower and its distribution identification in orchard based on YOLOv5l and Euclidean distance

•Selecting suitable flower for pollination based on flowers detection and distribution.•Kiwifruit flowers were labeled into 10 classes based on flower phenology.•Flower cluster and branch junction were applied for obtaining flower distribution.•YOLOv5l reached mAP of 91.60 % on multi-class objects detection in 15.50 ms per image.•The method reached total MA of 93.30 % with processing speed of 112.46 ms per image.