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Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek)

• Authors : Yiyi Xiong; Lucas Mauro Rogerio Chiau; Kylie Wenham

Subjects: Agricultural; veterinary and food sciences; Agriculture

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Utilisation of unmanned aerial vehicle imagery to assess growth parameters in mungbean (Vigna radiata (L.) Wilczek)

• Authors : Yiyi Xiong; Lucas Mauro Rogerio Chiau; Kylie Wenham

Subjects: Agricultural; veterinary and food sciences; Agriculture

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FCLGYOLO: Feature Constraint and Local Guided Global Feature for Fire Detection in Unmanned Aerial Vehicle Imagery

• Authors : Ren, Dong; Zhang, Yang; Wang, Lu ...

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; volume 17, page 5864-5875 ; ISSN 1939-1404 2151-1535

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Deep Learning-Based Object Detection in Maritime Unmanned Aerial Vehicle Imagery: Review and Experimental Comparisons

• Authors : Zhao, Chenjie; Liu, Ryan Wen; Qu, Jingxiang

Subjects: Computer Science - Computer Vision and Pattern Recognition; Computer Science - Artificial Intelligence

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YOLO-UAV: Object Detection Method of Unmanned Aerial Vehicle Imagery Based on Efficient Multi-Scale Feature Fusion

• Authors : Ma, Chengji; Fu, Yanyun; Wang, Deyong ...

• Source: IEEE Access ; volume 11, page 126857-126878 ; ISSN 2169-3536

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Multiscale Fusion Network for Rural Newly Constructed Building Detection in Unmanned Aerial Vehicle Imagery

• Authors : Zheng, Cheng; Peng, Baochai; Chen, Bangqing ...

• Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ; volume 15, page 9160-9173 ; ISSN 1939-1404 2151-1535

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Detecting Intra-Field Variation in Rice Yield With Unmanned Aerial Vehicle Imagery and Deep Learning

• Authors : Bellis, Emily S.; Hashem, Ahmed A.; Causey, Jason L.

Subjects: Plant Science

• Source: Frontiers in Plant Science ; volume 13 ; ISSN 1664-462X

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Automatic instance segmentation of orchard canopy in unmanned aerial vehicle imagery using deep learning

• Authors : Zhang, Weirong; Chen, Xuegeng; Qi, Jiangtao ...

Subjects: Plant Science

• Source: Frontiers in Plant Science ; volume 13 ; ISSN 1664-462X

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Comparison of Sentinel-1, Sentinel-2, Landsat 8 and Unmanned aerial vehicle imagery in estimating stand metrics with different modeling techniques in pure Scots pine stands ...

• Authors : AKSOY, Hasan

Subjects: Geographic Information System; Forest Inventory

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Comparison of Sentinel-1, Sentinel-2, Landsat 8 and Unmanned aerial vehicle imagery in estimating stand metrics with different modeling techniques in pure Scots pine stands ...

• Authors : AKSOY, Hasan

Subjects: Geographic Information System; Forest Inventory

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