Soil Organic Carbon Prediction Using Digital Color Sensor in Peru
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-35445-8_16
Reference54 articles.
1. Allory, V., et al.: Quantification of soil organic carbon stock in urban soils using visible and near infrared reflectance spectroscopy (VNIRS) in situ or in laboratory conditions. Sci. Total Environ. 686, 764–773 (2019). https://doi.org/10.1016/j.scitotenv.2019.05.192
2. Anderson, T.W., Darling, D.A.: Asymptotic theory of certain “goodness of fit’’ criteria based on stochastic processes. Ann. Math. Stat. 23(2), 193–212 (1952). https://doi.org/10.1214/aoms/1177729437
3. Barbetti, R.: Low-cost digital mapping of soil organic carbon using optical spectrophotometer and sentinel-2 image. EQA - Int. J. Environ. Qual. 44, 1–8 (2021). https://doi.org/10.6092/issn.2281-4485/12071, https://eqa.unibo.it/article/view/12071
4. Blume, H.-P., et al.: Scheffer/Schachtschabel Soil Science. Springer, Heidelberg (2016). https://doi.org/10.1007/978-3-642-30942-7
5. Brady, N.C., Weil, R.R.: The Nature and Properties of Soils, p. 1104. 15th Global Edition. [Main author]
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