APW: An ensemble model for efficient wheat spike counting in unmanned aerial vehicle images-Reference-Cited by-同舟云学术

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APW: An ensemble model for efficient wheat spike counting in unmanned aerial vehicle images

Published:2024-09 Issue: Volume:224 Page:109204
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Yao Zhaosheng^ORCID,Zhang Dingshun,Tian Ting,Zain Muhammad,Zhang Weijun,Yang Tianle,Song Xiaoxin,Zhu Shaolong,Liu Tao,Ma Haijiao,Sun Chengming

Publisher

Elsevier BV

Reference34 articles.

1. Use of unmanned aerial vehicle imagery and a hybrid algorithm combining a watershed algorithm and adaptive threshold segmentation to extract wheat lodging;Cao;Phys. Chem. Earth, Parts A/B/C,2021

2. In-field Triticum aestivum ear counting using colour-texture image analysis;Cointault;N. Z. J. Crop Hortic. Sci.,2008

3. FAO Statistics, Food and Agriculture Organization of the United Nations,2023

4. MSDD-YOLOX: An enhanced YOLOX for real-time surface defect detection of oranges by type;Feng;Eur. J. Agron.,2023

5. Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images;Fernandez-Gallego;Plant Methods,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Real-Time Detection and Counting of Wheat Spikes Based on Improved YOLOv10;Agronomy;2024-08-28

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