Vocational School of Technical Sciences, Uludag University, Bursa 16059, Turkey.
Sensors (Basel). 2013 Aug 8;13(8):10177-90. doi: 10.3390/s130810177.
This paper aims at exploring the potential of visible and near infrared (vis-NIR) spectroscopy for on-line measurement of soil pH, with the intention to produce variable rate lime recommendation maps. An on-line vis-NIR soil sensor set up to a frame was used in this study. Lime application maps, based on pH predicted by vis-NIR techniques, were compared with maps based on traditional lab-measured pH. The validation of the calibration model using off-line spectra provided excellent prediction accuracy of pH (R2 = 0.85, RMSEP = 0.18 and RPD = 2.52), as compared to very good accuracy obtained with the on-line measured spectra (R2 = 0.81, RMSEP = 0.20 and RPD = 2.14). On-line predicted pH of all points (e.g., 2,160) resulted in the largest overall field virtual lime requirement (1.404 t), as compared to those obtained with 16 validation points off-line prediction (0.28 t), on-line prediction (0.14 t) and laboratory reference measurement (0.48 t). The conclusion is that the vis-NIR spectroscopy can be successfully used for the prediction of soil pH and for deriving lime recommendations. The advantage of the on-line sensor over sampling with limited number of samples is that more detailed information about pH can be obtained, which is the reason for a higher but precise calculated lime recommendation rate.
本文旨在探讨可见近红外(vis-NIR)光谱技术在土壤 pH 在线测量中的潜力,以期生成可变率石灰推荐图。本研究使用了安装在框架上的在线可见近红外土壤传感器。基于 vis-NIR 技术预测的 pH 值生成的石灰应用图与基于传统实验室测量 pH 值生成的图进行了比较。离线光谱验证校准模型提供了 pH 值的优异预测精度(R2 = 0.85、RMSEP = 0.18 和 RPD = 2.52),而在线测量光谱则获得了非常好的精度(R2 = 0.81、RMSEP = 0.20 和 RPD = 2.14)。与离线预测的 16 个验证点(0.28 t)、在线预测(0.14 t)和实验室参考测量(0.48 t)相比,所有点(例如 2,160)的在线预测 pH 值导致总体田间虚拟石灰需求最大(1.404 t)。结论是,可见近红外光谱技术可成功用于预测土壤 pH 值和推导石灰推荐量。与使用有限数量样本进行采样相比,在线传感器的优势在于可以获得更详细的 pH 信息,这也是计算出更高但精确的石灰推荐率的原因。