Infrared thermography is a non-destructive technique that uses infrared radiation to visualize
surface temperature variations. It is a versatile tool that can be used to detect a variety of …

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

Heavy metal contamination is ubiquitous in brownfields. Traditional site investigation
employs geostatistical interpolation methods (GIMs) to predict the distribution of soil …

Identification and development of salinity tolerant genotypes and varieties are one of the
promising ways to improve productivity of salt-affected soils. Alternate methods to achieve …

Minerals control many soil functions and play a crucial role in addressing global existential
issues. Measuring the abundance of soil minerals is a laborious, costly, and time-consuming …

The mapping of soil nutrients is a key issue for numerous applications and research fields
ranging from global changes to environmental degradation, from sustainable soil …

The acquisition of near‐infrared (NIR) spectral information is most notably accessed in the
scientific analysis and industrial technology. With the development of artificial intelligence …

Soil maps at appropriate scales can aid decision-making in agriculture and the environment.
In this sense, remote sensing products have shown their power to investigate soil properties …

The physical and chemical attributes of soils are strongly influenced by the nature of the
minerals they contain and their concentration. Thus, soil texture is directly dependent on the …

In this paper different multivariate classification methods applied to hyperspectral images
acquired in the short-wave infrared range (SWIR: 1000–2500 nm) were evaluated for quality …