Open Access
| Issue |
BIO Web Conf.
Volume 230, 2026
2026 13th International Conference on Asia Agriculture and Animal (ICAAA 2026)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 10 | |
| Section | Agricultural Biotechnology and Intelligent Sensing Diagnostics | |
| DOI | https://doi.org/10.1051/bioconf/202623001004 | |
| Published online | 24 March 2026 | |
- X. Liu, X. Dong, and D. I. Leskovar, “Ground penetrating radar for underground sensing in agriculture: a review,” International Agrophysics, vol. 30, no. 4, pp. 533–543, Oct. 2016, doi: 10.1515/intag-2016-0010. [Google Scholar]
- X. Liu et al., “Ground penetrating radar (GPR) detects fine roots of agricultural crops in the field,” Plant and Soil, vol. 423, no. 1-2, pp. 517–531, Dec. 2017, doi: 10.1007/s11104-017-3531-3. [Google Scholar]
- Z. Qiu, J. Zeng, W. Tang, H. Yang, J. Lu, and Z. Zhao, “Research on Real-Time Automatic Picking of Ground-Penetrating Radar Image Features by Using Machine Learning,” Horticulturae, vol. 8, no. 12, p. 1116, Nov. 2022, doi: 10.3390/horticulturae8121116. [Google Scholar]
- B-Hive, “TuberScan: Real-Time Crop Monitoring for Accurate Potato Yield,” Oct. 24, 2024. [Online]. Available: https://www.b-hiveinnovations.co.uk/project/tuberscan/ [Google Scholar]
- F. Lombardi, B. Ortuani, A. Facchi, and M. Lualdi, “Assessing the Perspectives of Ground Penetrating Radar for Precision Farming,” Remote Sensing, vol. 14, no. 23, p. 6066, Nov. 2022, doi: 10.3390/rs14236066. [Google Scholar]
- M. J. Page et al., “The PRISMA 2020 statement: an Updated Guideline for Reporting Systematic Reviews,” Systematic Reviews, vol. 10, no. 1, Mar. 2021. [Google Scholar]
- N. D. Fadil, H. Ali, A. F. A. Zaidi, W. H. B. W. Kamal, and N. A. M. Basri, “3D Reconstruction of embedded object using ground penetrating radar,” Journal of Physics: Conference Series, vol. 2641, no. 1, p. 012022, Nov. 2023, doi: 10.1088/1742-6596/2641/1/012022. [Google Scholar]
- A. Kotyrba and K. Sta≈Ñczyk, “Sensing underground coal gasification by ground penetrating radar,” Acta Geophysica, vol. 65, no. 6, pp. 1185–1196, Nov. 2017, doi: 10.1007/s11600-017-0095-9. [Google Scholar]
- P. Amin, M. A. Ghalibaf, A. R. Mermut, and A. Delavarkhalafi, “Assessment of zones prone to sinkhole using ground penetrating radar and soil properties in Central Iran,” Geoderma Regional, vol. 33, p. e00630, Mar. 2023, doi: 10.1016/j.geodrs.2023.e00630. [Google Scholar]
- J. Qi, M. Shi, W. Shi, C. Wang, and B. Yuan, “Simulation of Airborne Ground Penetrating Radar Model for Detecting Underground Targets Based on CST-MWS,” in 2019 Photonics & Electromagnetics Research Symposium - Fall (PIERS - Fall), pp. 1877–1882, Dec. 2019, doi: 10.1109/piers-fall48861.2019.9021621. [Google Scholar]
- G. G. Galgaye, “Phenology, growth, yield, and yield-related traits of Ethiopian garlic genotypes: A review,” Heliyon, vol. 9, no. 6, p. e16497, May 2023, doi: 10.1016/j.heliyon.2023.e16497. [Google Scholar]
- Y. Lu and G. Lu, “3D Modeling Beneath Ground: Plant Root Detection and Reconstruction Based on Ground-Penetrating Radar,” in 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Jan. 2022, doi: 10.1109/wacv51458.2022.00077. [Google Scholar]
- D. Seyfried and J. Schoebel, “Ground penetrating radar for asparagus detection,” Journal of Applied Geophysics, vol. 126, pp. 191–197, Feb. 2016, doi: 10.1016/j.jappgeo.2016.01.022. [Google Scholar]
- P. Anbazhagan, M. Bittelli, R. R. Pallepati, and P. Mahajan, “Comparison of soil water content estimation equations using ground penetrating radar,” Journal of Hydrology, vol. 588, p. 125039, Sep. 2020, doi: 10.1016/j.jhydrol.2020.125039. [Google Scholar]
- Muhammad, N. Sahriman, R. Ghazali, Muhammad, A. Rauf, and M. H. Razali, “Ground Penetrating Radar for Detecting Underground Pipe Buried in Different Type Materials,” in 2019 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE), pp. 156–161, Aug. 2019, doi: 10.1109/icsgrc.2019.8837098. [Google Scholar]
- I. Mesecan and I. O. Bucak, “Efficient Underground Object Detection for Ground Penetrating Radar Signals,” Defence Science Journal, vol. 67, no. 1, p. 12, Dec. 2016, doi: 10.14429/dsj.1.9063. [Google Scholar]
- S. Khudoyarov, N. Kim, and J.-J. Lee, “Three-dimensional convolutional neural network-based underground object classification using three-dimensional ground penetrating radar data,” Structural Health Monitoring, vol. 19, no. 6, pp. 1884–1893, Feb. 2020, doi: 10.1177/1475921720902700. [Google Scholar]
- J. Zhang and G. Lu, “Underground Mapping and Localization Based on Ground- Penetrating Radar,” arXiv, Sep. 2024, doi: 10.48550/arxiv.2409.16446. [Google Scholar]
- K. D. Gorro, A. S. Ilano, L. P. Roble, R. N. R. Santillan, J. C. Pepito, E. B. Ranolo, K. D. Gorro, A. J. M. Gorro, M. F. Ali, A. J. Sebial, and J. N. Buot, “Detection of Corals, Seagrass, and Seaweeds Using YOLOv9 Instance Segmentation with Image Augmentation,” Journal of Image and Graphics, vol. 13, no. 3, pp. 231–244, 2025. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.