Various machine‐learning models have been extensively applied to predict soil properties
using infrared spectroscopy. Beyond the interpretability and transparency of these models …

Site-specific seeding (SSS) is a precision agricultural (PA) practice aiming at optimizing
seeding rate and depth, depending on the within field variability in soil fertility and yield …

The number of samples used in the calibration data set affects the quality of the generated
predictive models using visible, near and shortwave infrared (VIS–NIR–SWIR) spectroscopy …

Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to
understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating …

Considering the hypothesis that the predictive capacity of models is tied to soil
characteristics, the stratification of a spectral library into groups is a strategy to improve the …

The aim of this research was to examine the potential of visible and near infrared (Vis–NIR)
spectroscopy for the prediction and mapping of sand and clay fractions of soils in one …

Diffuse reflectance spectroscopy in the visible and near‐infrared (VNIR) spectral range has
increasingly been utilised in recent years to measure soil properties, including organic …

People have modified landscapes throughout the Holocene (the last c. 11,700 years) by
modifying soils, burning forests, cultivating and domesticating plants, and directly and …

The spectral reflectance of crop canopy is a spectral mixture, which includes soil
background as one of the components. However, as soil is characterized by substantial …

Soil fertility index (SFI) is commonly used for soil fertility assessment, which is critical for
managing in-field variabilities and maximizing crop production with minimum environmental …