Thermal imaging for identification of malfunctions in subsurface drip irrigation in orchards
Author:
Funder
Israel's Ministry of Agriculture and Rural Development
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11119-023-10104-x.pdf
Reference34 articles.
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2. Berni, J. A. J., Zarco-Tejada, P. J., Suárez, L., & Fereres, E. (2009). Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Transactions on Geoscience and Remote Sensing, 47(3), 722–738. https://doi.org/10.1109/TGRS.2008.2010457
3. Bian, J., Zhang, Z., Chen, J., Chen, H., Cui, C., Li, X., Chen, S., & Fu, Q. (2019). Simplified evaluation of cotton water stress using high resolution unmanned aerial vehicle thermal imagery. Remote Sensing. https://doi.org/10.3390/rs11030267
4. Biswas, H., Zhang, K., Ross, M. S., & Gann, D. (2020). Delineation of tree patches in a mangrove-marsh transition zone by watershed segmentation of aerial photographs. Remote Sensing, 12(13), 2086. https://doi.org/10.3390/rs12132086
5. Camino, C., Zarco-Tejada, P. J., & Gonzalez-Dugo, V. (2018). Effects of heterogeneity within tree crowns on airborne-quantified SIF and the CWSI as indicators of water stress in the context of precision agriculture. Remote Sensing. https://doi.org/10.3390/RS10040604
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