Fresh Leaf Spectroscopy to Estimate the Crop Nutrient Status of Potato (Solanum tuberosum L.)
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11540-024-09766-5.pdf
Reference57 articles.
1. Asner GP, Martin RE, Knapp DE, Tupayachi R, Anderson C, Carranza L, ... Weiss P (2011) Spectroscopy of canopy chemicals in humid tropical forests. Remote Sens Environ 115(12):3587–3598. https://doi.org/10.1016/j.rse.2011.08.020
2. Asner GP, Martin RE (2008) Spectral and chemical analysis of tropical forests: scaling from leaf to canopy levels. Remote Sens Environ 112(10):3958–3970. https://doi.org/10.1016/j.rse.2008.07.003
3. Asner GP, Martin RE (2011) Canopy phylogenetic, chemical and spectral assembly in a lowland Amazonian forest. New Phytol 189(4):999–1012. https://doi.org/10.1111/j.1469-8137.2010.03549.x
4. Azadnia R, Rajabipour A, Jamshidi B, Omid M (2023) New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection coupled with machine learning. Comput Electron Agric 207(February):107746. https://doi.org/10.1016/j.compag.2023.107746
5. Bărăscu N, Duda M, Olteanu G (2016) Study of dynamics SPAD and NDVI values of potato plants according to the differentiated fertilization. Bulletin of University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca. Agriculture 73(1):5–14
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