Funder
Shanxi Agricultural University Science and Technology Innovation Fund Project
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Reference33 articles.
1. Afonso, M., Fonteijn, H., Fiorentin, S. F., Lensink, D., Mooij, M., Faber, N., Polder, G., & Wehrens, R. (2020). Tomato fruit detection and counting in greenhouses using deep learning. Frontiers in Plant Science, 11, 571299. https://doi.org/10.3389/fpls.2020.571299
2. Bac, C. W., Van Henten, E. J., Hemming, J., & Edan, Y. (2014). Harvesting robots for high-value crops: State-of-the-art review and challenges ahead. Journal of Field Robotics, 31, 888–911. https://doi.org/10.1002/rob.21525
3. Barth, R. (2018). Vision principles for harvest robotics: Sowing artificial intelligence in agriculture. Ph.D. thesis, Wageningen University and Research, Wageningen.
4. Bochkovskiy, A., Wang, C. Y., & Liao, H. Y. M. (2020). YOLOv4: Optimal speed and accuracy of object detection. arXiv preprint arXiv: 2004.10934v1.
5. Das Choudhury, S., Samal, A., & Awada, T. (2019). Leveraging image analysis for high-throughput plant phenotyping. Frontiers in Plant Science, 10, 508. https://doi.org/10.3389/fpls.2019.00508
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