{
 "id": "Project-AgML/blueberry_maturity_detection",
 "owner": "Project-AgML",
 "name": "blueberry_maturity_detection",
 "downloads": 192,
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 "last_modified": "2026-09-03T20:51:30.000Z",
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 "tasks": [
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 "citation": "@article{deng2024detection,\n  title={Detection, counting, and maturity assessment of blueberries in canopy images using YOLOv8 and YOLOv9},\n  author={Deng, Boyang and Lu, Yuzhen and Li, Zhaojian},\n  journal={Smart Agricultural Technology},\n  volume={9},\n  pages={100620},\n  year={2024},\n  publisher={Elsevier}\n}",
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