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Deep learning-driven intelligent weed mapping system: Optimizing site-specific weed management

delete2025-05-22
delete0
PRE
AI
C
Chuan Wang
Z
Zhihong Chen
何
何洁月 (J. He)
P
Pengbiao Hou
Y
Yongheng Wang
Z
Zhongzheng Xu
Z
Zhiming Guo
DOI：10.1016/j.cropro.2025.107284delete
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Abstract

Abstract

En 中文
• Designed an end-to-end Intelligent Weed Mapping System. • A targeted algorithm to solve the sample imbalance problem is proposed. • Multi-modal integrated weed map design. • We study the impact of resolution on the performance of object detection. • An effective solution for site-specific weed control.

Journal

Crop Protection cover
Crop Protection
IF:
2.5
Papers:
600
Citations:
1.4W

Organization

No organization information available