The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management
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Citations
Cites
A modified soil adjusted vegetation index
Qi, J., Chehbouni, A., Huete, A. R., Kerr, Y. H., & Sorooshian, S. (1994) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)90134-1 · Cited by 3,379
Optimization of soil-adjusted vegetation indices
Rondeaux, G., Steven, M. D., & Baret, F. (1996) · Remote Sensing of Environment · doi:10.1016/0034-4257(95)00186-7 · Cited by 2,920
Neural Network Toolbox™ User's Guide
Beale, M. H., Hagan, M., & Demuth, H. B. (2015) · Cited by 1,639
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
Hsu, K., Gupta, H. V., & Sorooshian, S. (1995) · Water Resources Research · doi:10.1029/95wr01955 · Cited by 1,515
Estimating PAR absorbed by vegetation from bidirectional reflectance measurements
Roujean, J.-L., & Breon, F.-M. (1995) · Remote Sensing of Environment · doi:10.1016/0034-4257(94)00114-3 · Cited by 1,422
The red edge of plant leaf reflectance
HORLER, D. N. H., DOCKRAY, M., & BARBER, J. (1983) · International Journal of Remote Sensing · doi:10.1080/01431168308948546 · Cited by 1,187
Assessing leaf pigment content and activity with a reflectometer
GAMON, J. A., & SURFUS, J. S. (1999) · New Phytologist · doi:10.1046/j.1469-8137.1999.00424.x · Cited by 1,032
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
Wu, S. G., Bao, F. S., Xu, E. Y., Wang, Y.-X., Chang, Y.-F., & Xiang, Q.-L. (2007) · 2007 IEEE International Symposium on Signal Processing and Information Technology · doi:10.1109/isspit.2007.4458016 · Cited by 935
FILELLA, I., & PENUELAS, J. (1994) · International Journal of Remote Sensing · doi:10.1080/01431169408954177 · Cited by 828
Measurement of plant water status by the pressure chamber technique
Turner, N. C. (1988) · Irrigation Science · doi:10.1007/bf00296704 · Cited by 801
Cited by
The digitization of agricultural industry – a systematic literature review on agriculture 4.0
Abbasi, R., Martinez, P., & Ahmad, R. (2022) · Smart Agricultural Technology · doi:10.1016/j.atech.2022.100042 · Cited by 531
Barbedo, J. (2019) · Drones · doi:10.3390/drones3020040 · Cited by 391
Wheat yellow rust monitoring by learning from multispectral UAV aerial imagery
Su, J., Liu, C., Coombes, M., Hu, X., Wang, C., Xu, X., Li, Q., Guo, L., & Chen, W.-H. (2018) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2018.10.017 · Cited by 283
Metadata
- Authors
- Romero, M., Luo, Y., Su, B., & Fuentes, S.
- Venue
- Computers and Electronics in Agriculture
- Publisher
- Elsevier BV
- Published
- 2018-04
- Volume
- 147
- Pages
- 109-117
- ISSN
- 0168-1699 (ISSN-L)
- OpenAlex
- W2790861445
- Cited by
- 267
- References
- 40
- FWCI
- 15.93
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management. https://app.cochat.ai/papers/10.1016/j.compag.2018.02.013
- The paper
- Romero, M., Luo, Y., Su, B., & Fuentes, S. (2018). Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management. Computers and Electronics in Agriculture. https://doi.org/10.1016/j.compag.2018.02.013
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
