Quickly and efficiently monitoring soil nutrient contents using remote sensing technology is
of great significance for farmland soil productivity, food security and sustainable agricultural …

Soil nutrients play a vital role in plant growth and thus the rapid acquisition of soil nutrient
content is of great significance for agricultural sustainable development. Hyperspectral …

Rapid acquisition of the spatial distribution of soil nutrients holds great implications for
farmland soil productivity safety, food security and agricultural management. To this end, we …

Aims This study aimed to compare stepwise multiple linear regression (SMLR), partial least
squares regression (PLSR) and support vector machine regression (SVMR) for estimating …

This paper proposes a hyperspectral soil nutrient estimation method based on the bat
algorithm (BA)-AdaBoost model. The spectral reflectance, the first derivative of the …

Successful estimation of soil total nitrogen (TN) content by visible and near-infrared (Vis-
NIR) reflectance spectroscopy depends on selecting appropriate variable selection …

Choosing an appropriate wavelength range, extracting optimal wavelength variables, and
selecting suitable statistical analysis methods are of great importance for improving the …

Nitrogen (N) and phosphorus (P) are primary indicators of soil nutrients in agriculture.
Accurate management of these nutrients is essential for ensuring food security. High …

Near-infrared reflectance (NIR) spectroscopy is a technique that shows many possibilities in
the field of testing chemical and physical properties of materials. Soil and agricultural …

Soil nutrients are an important component of soil fertility, and having accurate and timely soil
nutrients information is conducive to scientifically guided agricultural fertilization and …