Optimizing UAV Hyperspectral Imaging for Predictive Analysis of Nutrient Concentrations, Biomass Growth, and Yield Prediction of Potatoes
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s12230-024-09966-2.pdf
Reference89 articles.
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3. Asner, G. P., and R. E. Martin. 2008. Spectral and chemical analysis of tropical forests: Scaling from leaf to canopy levels. Remote Sensing of Environment 112 (10): 3958–3970. https://doi.org/10.1016/j.rse.2008.07.003.
4. Asner, G. P., R. E. Martin, C. B. Anderson, and D. E. Knapp. 2015. Quantifying forest canopy traits: Imaging spectroscopy versus field survey. Remote Sensing of Environment 158:15–27. https://doi.org/10.1016/j.rse.2014.11.011.
5. Barbedo, J. G., C. S. Tibola, and J. M. Fernandes. 2015. Detecting Fusarium head blight in wheat kernels using hyperspectral imaging. Biosystems Engineering 131:65–76. https://doi.org/10.1016/j.biosystemseng.2015.01.003.
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