Using unmanned aerial vehicle acquired RGB images and Density-Cluster-Count model for tree-level apple flower quantification-Reference-Cited by-同舟云学术

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Using unmanned aerial vehicle acquired RGB images and Density-Cluster-Count model for tree-level apple flower quantification

Published:2024-11 Issue: Volume:226 Page:109389
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Shang Yuying,Geng Mingyang,Fang Hongyuan,Cai Min,Wang Jiachen,Song Huaibo^ORCID

Publisher

Elsevier BV

Reference40 articles.

1. Yield prediction in apple orchards based on image processing;Aggelopoulou;Precis. Agric.,2011

2. Automatic blossom detection in apple trees using deep learning;Bhattarai;IFAC PapersOnLine.,2020

3. A weakly-supervised approach for flower/fruit counting in apple orchards;Bhattarai;Comput. Ind.,2022

4. Early almond yield forecasting by bloom mapping using aerial imagery and deep learning;Chakraborty;Comput. Electron. Agric.,2023

5. Apple inflorescence recognition of phenology stage in complex background based on improved YOLOv7;Chen;Comput. Electron. Agric.,2023

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