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Article Versions Notes
| Action | Date | Notes | Link |
|---|---|---|---|
| article pdf uploaded. | 23 November 2024 10:14 CET | Version of Record | https://www.mdpi.com/1424-8220/24/23/7480/pdf |
Cite
Nsoh, B.; Katimbo, A.; Guo, H.; Heeren, D.M.; Nakabuye, H.N.; Qiao, X.; Ge, Y.; Rudnick, D.R.; Wanyama, J.; Bwambale, E.; et al. Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review. Sensors 2024, 24, 7480. https://doi.org/10.3390/s24237480
Nsoh B, Katimbo A, Guo H, Heeren DM, Nakabuye HN, Qiao X, Ge Y, Rudnick DR, Wanyama J, Bwambale E, et al. Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review. Sensors. 2024; 24(23):7480. https://doi.org/10.3390/s24237480
Chicago/Turabian StyleNsoh, Bryan, Abia Katimbo, Hongzhi Guo, Derek M. Heeren, Hope Njuki Nakabuye, Xin Qiao, Yufeng Ge, Daran R. Rudnick, Joshua Wanyama, Erion Bwambale, and et al. 2024. "Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review" Sensors 24, no. 23: 7480. https://doi.org/10.3390/s24237480
APA StyleNsoh, B., Katimbo, A., Guo, H., Heeren, D. M., Nakabuye, H. N., Qiao, X., Ge, Y., Rudnick, D. R., Wanyama, J., Bwambale, E., & Kiraga, S. (2024). Internet of Things-Based Automated Solutions Utilizing Machine Learning for Smart and Real-Time Irrigation Management: A Review. Sensors, 24(23), 7480. https://doi.org/10.3390/s24237480
