Precise soil coverage in potato planting through plastic film using real-time image recognition with YOLOv4-tiny
Author:
Funder
National Natural Science Foundation of China
University Project of Gansu Province
Science and Technology Program of Gansu Province
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-67321-1.pdf
Reference22 articles.
1. Sun, W. & Simionescu, P. A. Parameter analysis and field tests of a double crank multi-rod under plastic-plastic film hill-drop mechanism potato planter. Am. J. Potato Res. 97, 256–264. https://doi.org/10.1007/s12230-020-09773-5 (2020).
2. Sun, W., Zhang, H. & Simionescu, P. A. Numerical optimization and experimental validation of a five-link mechanism, potato planter. Proc. Inst. Mech. Eng. C J. Mech. Eng. Sci. 235(23), 6883–6892. https://doi.org/10.1177/09544062211004652 (2021).
3. Liu, Q., Sun, W., Wang, H. & Meng, Y. Design and field test of a leaping type soil-covering device on plastic film. Agriculture. 13(9), 1680. https://doi.org/10.3390/agriculture13091680 (2023).
4. Krizhevsky, A., Sutskever, I. & Hinton, G. ImageNet classification with deep convolutional neural networks. Commun. ACM. 60(6), 84–90. https://doi.org/10.1145/3065386 (2012).
5. Yarotsky, D. Error bounds for approximations with deep ReLU networks. Neural Netw. 94, 103–114. https://doi.org/10.1016/j.neunet.2017.07.002 (2017).
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