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A vision-based pruning algorithm for cherry tree structure elements segmentation and exact pruning points determination

delete2025-07-09
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OA
AI
A
Axios Kefalas
Τ
Τheofanis Kalampokas
Ε
Εleni Vrochidou
G
George A. Papakostas
DOI：10.1016/j.compag.2025.110735delete
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Abstract

Abstract

En 中文
• A novel vision-based algorithm for pruning dormant cherry trees. • Methodology based on strict pruning rules for the Central Leader Training system. • Easily adaptable methodology to different tree types by adjusting the pruning rules. • Dormant cherry tree pruning can be automated with average accuracy of 93.33 %.
Keywords:
Cherry pruning
Deep learning
Machine vision
Pruning point identification
Agricultural automation
Precision agriculture
Digital transformation

Journal

Computers and Electronics in Agriculture cover
Computers and Electronics in Agriculture
IF:
8.9
Papers:
9.9K
Citations:
4.8W

Organization

No organization information available