Predicting the growth of lettuce from soil infrared reflectance spectra: the potential for crop management.

ABSTRACT: How well could one predict the growth of a leafy crop from reflectance spectra from the soil and how might a grower manage the crop in the light of those predictions? Topsoil from two fields was sampled and analysed for various nutrients, particle-size distribution and organic carbon concentration. Crop measurements (lettuce diameter) were derived from aerial-imagery. Reflectance spectra were obtained in the laboratory from the soil in the near- and mid-infrared ranges, and these were used to predict crop performance by partial least squares regression (PLSR). Individual soil properties were also predicted from the spectra by PLSR. These estimated soil properties were used to predict lettuce diameter with a linear model (LM) and a linear mixed model (LMM): considering differences between l

SUBMITTER: Breure TS 

PROVIDER: S-EPMC7814485 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature