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基于改进 YOLOv7 的无人机航拍视频西瓜计数方法.

• Authors : 殷慧军¹ ; 王宝丽^1,2; 景运革²

• Source: Transactions of the Chinese Society of Agricultural Engineering. Oct2024, Vol. 40 Issue 19, p124-134. 11p.

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FE-YOLO: An Efficient Deep Learning Model Based on Feature-Enhanced YOLOv7 for Microalgae Identification and Detection.

• Authors : Ding, Gege¹ (AUTHOR) ; Shi, Yuhang² (AUTHOR) ; Liu, Zhenquan² (AUTHOR)

• Source: Biomimetics (2313-7673). Jan2025, Vol. 10 Issue 1, p62. 16p.

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Research on Deep Learning Detection Model for Pedestrian Objects in Complex Scenes Based on Improved YOLOv7.

• Authors : Hu, Jun¹ (AUTHOR) ; Zhou, Yongqi¹ (AUTHOR); Wang, Hao¹ (AUTHOR)

• Source: Sensors (14248220). Nov2024, Vol. 24 Issue 21, p6922. 26p.

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Improved Architecture and Training Strategies of YOLOv7 for Remote Sensing Image Object Detection.

• Authors : Zhao, Dewei¹ (AUTHOR); Shao, Faming¹ (AUTHOR); Liu, Qiang¹ (AUTHOR)

• Source: Remote Sensing. Sep2024, Vol. 16 Issue 17, p3321. 32p.

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Improvement of YOLOv7 model for intelligent recognition of mining surface cracks

• Authors : Yu SU; Fuquan TANG; Jingxiang LI

Subjects: uav imagery; mining-induced cracks; feature extraction

• Source: Meikuang Anquan, Vol 55, Iss 4, Pp 169-176 (2024)

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Precision Agriculture Through Deep Learning: Tomato Plant Multiple Diseases Recognition With CNN and Improved YOLOv7

• Authors : Muhammad Umar; Saud Altaf; Shafiq Ahmad

Subjects: Tomato leaf diseases detection; YOLOv7; image classification

• Source: IEEE Access, Vol 12, Pp 49167-49183 (2024)

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Research on lightweight pavement disease detection model based on YOLOv7.

• Authors : Wang, Chishe^1,2 (AUTHOR); Li, Jun¹ (AUTHOR) ; Wang, Jie² (AUTHOR)

• Source: Journal of Intelligent & Fuzzy Systems. 2024, Vol. 46 Issue 4, p10573-10589. 17p.

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YOLOv7-SN: Underwater Target Detection Algorithm Based on Improved YOLOv7.

• Authors : Zhao, Ming¹ (AUTHOR) ; Zhou, Huibo¹ (AUTHOR) ; Li, Xue¹ (AUTHOR)

• Source: Symmetry (20738994). May2024, Vol. 16 Issue 5, p514. 17p.

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基于改进 YOLOv7 的黄瓜叶片病虫害检测与识别.

• Authors : 刘诗怡¹ ; 胡滨¹ ; 赵春¹

• Source: Transactions of the Chinese Society of Agricultural Engineering. Aug2023, Vol. 39 Issue 15, p164-172. 9p.

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基于改进 YOLOv7 的疏果期苹果目标检测方法.

• Authors : 龙　燕^1,2,3 ; 杨智优^1,2,3; 何梦菲^1,2,3

• Source: Transactions of the Chinese Society of Agricultural Engineering. 2023, Vol. 39 Issue 14, p191-199. 9p.

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