Research on soil moisture Detection based on data fusion of near-infrared spectroscopy and machine vision
Research on soil moisture Detection based on data fusion of near-infrared spectroscopy and machine vision
Wu Xiao,Xiaoyu Li,3 Authors,Yaoze Feng
2009 · DOI: 10.13031/2013.26935
1 Citations
TLDR
The results showed that for the near-infrared spectroscopy soil moisture analysis model the decision coefficient r2 of the forecast and measured value was found to be 0.9946, and the root of cross-validation mean square error (RMSECV) was 0.00912 kg•kg-1.