Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model-Reference-Cited by-同舟云学术

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Fast and accurate detection of kiwifruit in orchard using improved YOLOv3-tiny model

Published:2020-09-13 Issue:3 Volume:22 Page:754-776
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Fu Longsheng^ORCID,Feng Yali,Wu Jingzhu,Liu Zhihao,Gao Fangfang,Majeed Yaqoob,Al-Mallahi Ahmad,Zhang Qin,Li Rui,Cui Yongjie

Funder

Key Research and Development Program in Shaanxi Province of China

Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology & Business University

International Scientific and Technological Cooperation Foundation of Northwest A&F University

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-020-09754-y.pdf

Reference59 articles.

1. Akcay, S., Kundegorski, M. E., Willcocks, C. G., & Breckon, T. P. (2018). Using deep convolutional neural network architectures for object classification and detection within x-ray baggage security imagery. IEEE Transactions on Information Forensics and Security, 13(9), 2203–2215. https://doi.org/10.1109/TIFS.2018.2812196.

2. Al-masni, M. A., Al-antari, M. A., Park, J. M., Gi, G., Kim, T. Y., Rivera, P., et al. (2018). Simultaneous detection and classification of breast masses indigital mammograms via a deep learning YOLO-based CAD system. Computer Methods and Programs in Biomedicine, 157, 85–94. https://doi.org/10.1016/j.cmpb.2018.01.017.

3. Bargoti, S., & Underwood, J. (2017). Image segmentation for fruit detection and yield estimation in apple orchards. Journal of Field Robotics, 34, 1039–1060. https://doi.org/10.1002/rob.21699.

4. Fu, L., Feng, Y., Elkamil, T., Liu, Z., Li, R., & Cui, Y. (2018a). Image recognition method of multi-cluster kiwifruit in field based on convolutional neural networks. Transactions of the Chinese Society of Agricultural Engineering, 34(2), 205–211. https://doi.org/10.11975/j.issn.1002-6819.2018.02.028 (in Chinese with English abstract).

5. Fu, L., Feng, Y., Majeed, Y., Zhang, X., Zhang, J., Karkee, M., et al. (2018b). Kiwifruit detection in field images using faster R-CNN with ZFNet. IFAC-PapersOnLine, 51(17), 45–50. https://doi.org/10.1016/j.ifacol.2018.08.059.

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