Assessment of a soil fertility index using visible and near-infrared spectroscopy in the rice paddy region of southern China

2019 ◽  
Vol 71 (4) ◽  
pp. 615-626 ◽  
Author(s):  
Meihua Yang ◽  
Abdul Mouazen ◽  
Xiaomin Zhao ◽  
Xi Guo
Keyword(s):  
Infrared Spectroscopy ◽  
Soil Fertility ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Southern China ◽  
Rice Paddy ◽  
Fertility Index ◽  
Soil Fertility Index

Rapid evaluation of soil fertility in tea plantation based on near-infrared spectroscopy

2018 ◽  
Vol 51 (9) ◽  
pp. 463-471 ◽  
Author(s):  
Jingming Ning ◽  
Mengge Sheng ◽  
Xiaoyun Yi ◽  
Yujie Wang ◽  
Zhiwei Hou ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Soil Fertility ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Rapid Evaluation ◽  
Tea Plantation

scholarly journals Evaluation of Near Infrared Spectroscopy (NIRS) for Estimating Soil Organic Matter and Phosphorus in Mediterranean Montado Ecosystem

2021 ◽  
Vol 13 (5) ◽  
pp. 2734
Author(s):  
João Serrano ◽  
Shakib Shahidian ◽  
José Marques da Silva ◽  
Luís Paixão ◽  
Mário de Carvalho ◽  
...  
Keyword(s):  
Organic Matter ◽  
Infrared Spectroscopy ◽  
Soil Organic Matter ◽  
Soil Fertility ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
External Validation ◽  
Analytical Determination ◽  
Soil Parameters ◽  
Reference Laboratory

The Montado is an agro-silvo-pastoral ecosystem characteristic of the Mediterranean region. Pasture productivity and, consequently, the possibilities for intensifying livestock production depend on soil fertility. Soil organic matter (SOM) and phosphorus (P2O5) are two indicators of the evolution of soil fertility in this ecosystem. However, their conventional analytical determination by reference laboratory methods is costly, time consuming, and laborious and, thus, does not meet the needs of current production systems. The aim of this study was to evaluate an alternative approach to estimate SOM and soil P2O5 based on near infrared spectroscopy (NIRS) combined with multivariate data analysis. For this purpose, 242 topsoil samples were collected in 2019 in eleven fields. These samples were subjected to reference laboratory analysis and NIRS analysis. For NIRS, 165 samples were used during the calibration phase and 77 samples were used during the external validation phase. The results of this study showed significant correlation between NIRS calibration models and reference methods for quantification of these soil parameters. The coefficient of determination (R2, 0.85 for SOM and 0.76 for P2O5) and the residual predictive deviation (RPD, 2.7 for SOM and 2.2 for P2O5) obtained in external validation indicated the potential of NIRS to estimate SOM and P2O5, which can facilitate farm managers’ decision making in terms of dynamic management of animal grazing and differential fertilizer application.

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