Multi-class detection of kiwifruit flower and its distribution identification in orchard based on YOLOv5l and Euclidean distance

Author:

Li Guo,Fu Longsheng,Gao Changqing,Fang Wentai,Zhao Guanao,Shi Fuxi,Dhupia Jaspreet,Zhao Kegang,Li Rui,Cui Yongjie

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference34 articles.

1. Bochkovskiy, A., Wang, C., Liao, H.M., 2020. YOLOv4: Optimal speed and accuracy of object detection. arXiv Prepr. arXiv: 2004.10934.

2. Effects of different bud loading levels on the yield, leaf and fruit characteristics of Hayward kiwifruit;Cangi;Hortic. Sci.,2018

3. Pollination as a key management tool in crop production: Kiwifruit orchards as a study case;Castro;Sci. Hortic.,2021

4. Apple flower detection using deep convolutional networks;Dias;Comput. Ind.,2018

5. Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model;Fu;Precis. Agric.,2021

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