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Proceedings Paper

potential of Visible-Near Infrared Spectroscopy for mapping of multiple soil properties using real-time soil sensor
Author(s): B. S. N. Aliah; M. Kodaira; S. Shibusawa
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Paper 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 Rval2 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.

Paper Details

Date Published: 17 May 2013
PDF: 10 pages
Proc. SPIE 8881, Sensing Technologies for Biomaterial, Food, and Agriculture 2013, 888107 (17 May 2013); doi: 10.1117/12.2031009
Show Author Affiliations
B. S. N. Aliah, Tokyo Univ. of Agriculture and Technology (Japan)
Malaysian Agricultural Research and Development Institute (Malaysia)
M. Kodaira, Tokyo Univ. of Agriculture and Technology (Japan)
S. Shibusawa, Tokyo Univ. of Agriculture and Technology (Japan)


Published in SPIE Proceedings Vol. 8881:
Sensing Technologies for Biomaterial, Food, and Agriculture 2013
Naoshi Kondo, Editor(s)

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