{"ID":2856948,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.09948","arxiv_id":"2510.09948","title":"A Multi-Strategy Framework for Enhancing Shatian Pomelo Detection in Real-World Orchards","abstract":"Shatian pomelo detection in orchards is essential for yield estimation and lean production, but models tuned to ideal datasets often degrade in practice due to device-dependent tone shifts, illumination changes, large scale variation, and frequent occlusion. We introduce STP-AgriData, a multi-scenario dataset combining real-orchard imagery with curated web images, and apply contrast/brightness augmentations to emulate unstable lighting. To better address scale and occlusion, we propose REAS-Det, featuring Global-Selective Visibility Convolution (GSV-Conv) that expands the visible feature space under global semantic guidance while retaining efficient spatial aggregation, plus C3RFEM, MultiSEAM, and Soft-NMS for refined separation and localization. On STP-AgriData, REAS-Det achieves 86.5% precision, 77.2% recall, 84.3% mAP@0.50, and 53.6% mAP@0.50:0.95, outperforming recent detectors and improving robustness in real orchard environments. The source code is available at: https://github.com/Genk641/REAS-Det.","short_abstract":"Shatian pomelo detection in orchards is essential for yield estimation and lean production, but models tuned to ideal datasets often degrade in practice due to device-dependent tone shifts, illumination changes, large scale variation, and frequent occlusion. We introduce STP-AgriData, a multi-scenario dataset combining...","url_abs":"https://arxiv.org/abs/2510.09948","url_pdf":"https://arxiv.org/pdf/2510.09948v2","authors":"[\"Pan Wang\",\"Yihao Hu\",\"Xiaodong Bai\",\"Jingchu Yang\",\"Leyi Zhou\",\"Aiping Yang\",\"Xiangxiang Li\",\"Meiping Ding\",\"Jianguo Yao\"]","published":"2025-10-11T01:30:48Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":608395,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2856948,"paper_url":"https://arxiv.org/abs/2510.09948","paper_title":"A Multi-Strategy Framework for Enhancing Shatian Pomelo Detection in Real-World Orchards","repo_url":"https://github.com/Genk641/REAS-Det","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}