potential of Visible-Near Infrared Spectroscopy for mapping of multiple soil properties using real-time soil sensor

B. S. N. Aliah; M. Kodaira; S. Shibusawa

doi:10.1117/12.2031009

17 May 2013 potential of Visible-Near Infrared Spectroscopy for mapping of multiple soil properties using real-time soil sensor

B. S. N. Aliah, M. Kodaira, S. Shibusawa

Author Affiliations +

Proceedings Volume 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013; 888107 (2013) https://doi.org/10.1117/12.2031009
Event: SPIE SeTBio, 2013, Yokohama, Japan

Abstract

Over the past few decades, scientists have understood the needs for the exploitation of optical means particularly Vis-NIR spectroscopy to measure agriculture soil properties in real-time. The objective of this study is therefore to investigate the potential of Vis-NIR spectroscopy for mapping of multiple (19) soil properties using the optical-based real-time soil sensor (RTSS). For this purpose, Vis-NIR soil reflectance spectra (from 310 to 1700nm) were acquired using a tractor-mounted RTSS at 2 fields of a commercial farm in Hokkaido, Japan. The RTSS consists of a halogen lamp, fiber optics, two spectrophotometers, computer, DGPS receiver, and CCD camera. A total of 262 soil samples were collected subsequently for laboratory chemical analysis. PLSR coupled with full-cross validation was used to establish the relationship between the pre-treated Vis-NIR spectra with the value of soil properties obtained by chemical analysis. From this analysis, it was found that the accuracy of the calibration models ranged from R_val² of 0.65 to 0.86 and RPD from 1.7 to 2.7, meaning that the accuracy some of the models were excellent and others were almost good. Moreover, the predicted maps of 19 soil properties were comparable with the measured map. This shows that the RTSS by means of Vis-NIR spectroscopy can be used for mapping the 19 soil properties.

Citation Download Citation

B. S. N. Aliah, M. Kodaira, and S. Shibusawa "potential of Visible-Near Infrared Spectroscopy for mapping of multiple soil properties using real-time soil sensor", Proc. SPIE 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013, 888107 (17 May 2013); https://doi.org/10.1117/12.2031009

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