Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision

Succulent-YOLO: Smart UAV-Assisted Succulent Farmland Monitoring with CLIP-Based YOLOv10 and Mamba Computer Vision

Recent advances in unmanned aerial vehicle (UAV) technology combined with deep learning techniques have greatly improved agricultural monitoring. However, accurately processing images at low resolutions remains challenging for precision cultivation of succulents. To address this issue, this study pr...

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Bibliographic Details
Main Authors: Hui Li, Fan Zhao, Feng Xue, Jiaqi Wang, Yongying Liu, Yijia Chen, Qingyang Wu, Jianghan Tao, Guocheng Zhang, Dianhan Xi, Jundong Chen, Hill Hiroki Kobayashi
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Remote Sensing
Subjects:
MambaIR
YOLOv10
unmanned aerial vehicle
succulent
super-resolution reconstruction
precision agriculture
Online Access:https://www.mdpi.com/2072-4292/17/13/2219
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https://www.mdpi.com/2072-4292/17/13/2219

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