Estimation of soil nutrient content using hyperspectral data

Y Peng, L Wang, L Zhao, Z Liu, C Lin, Y Hu, L Liu - Agriculture, 2021 - mdpi.com
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 …

Prediction of soil nutrient contents using visible and near-infrared reflectance spectroscopy

Y Peng, L Zhao, Y Hu, G Wang, L Wang… - ISPRS international journal …, 2019 - mdpi.com
Quickly and efficiently monitoring soil nutrient contents using remote sensing technology is
of great significance for farmland soil productivity, food security and sustainable agricultural …

Construction of a hyperspectral estimation model for total nitrogen content in Shajiang black soil

Z Niu, L Shi, H Qiao, X Xu, W Wang… - Journal of Plant …, 2023 - Wiley Online Library
Background The real‐time non‐destructive estimation of soil total nitrogen content via
hyperspectral remote sensing is important for crop fertilization and precision agriculture …

Predicting spatial variations in soil nutrients with hyperspectral remote sensing at regional scale

YQ Song, X Zhao, HY Su, B Li, YM Hu, XS Cui - Sensors, 2018 - mdpi.com
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 …

Estimating soil total nitrogen content based on hyperspectral analysis technology

J ZHANG, Y TIAN, X YAO, W CAO, X MA… - Journal of natural …, 2011 - jnr.ac.cn
Quantitative relationships between soil total nitrogen content (TN) and hyperspectra in
visible and near-infrared region (VIS-NIR)(350-2500 nm) were studied for five soil types …

Prediction of soil properties using a hyperspectral remote sensing method

H Yu, B Kong, G Wang, R Du, G Qie - Archives of Agronomy and …, 2018 - Taylor & Francis
Quickly and accurately mapping soil properties is critical for agricultural, forestry and
environmental management. In this study, a new hyperspectral remote sensing method of …

Estimation of cultivated land quality based on soil hyperspectral data

C Lin, Y Hu, Z Liu, Y Peng, L Wang, D Peng - Agriculture, 2022 - mdpi.com
Efficient monitoring of cultivated land quality (CLQ) plays a significant role in cultivated land
protection. Soil spectral data can reflect the state of cultivated land. However, most studies …

Integrating hyperspectral imaging with machine learning techniques for the high-resolution mapping of soil nitrogen fractions in soil profiles

S Xu, M Wang, X Shi, Q Yu, Z Zhang - Science of The Total Environment, 2021 - Elsevier
Soil nitrogen (N) plays a central role in soil quality and biogeochemical cycles. However,
little is known about the distribution and spatial variability of the different fractions of soil N …

Hyperspectral estimation of soil organic matter content based on partial least squares regression

L Yu, Y Hong, L Geng, Y Zhou, Q Zhu… - Transactions of the …, 2015 - ingentaconnect.com
Soil organic matter (SOM) plays an important role in soil fertility and carbon (C) cycle. Soil
spectral reflectance provides an alternative method to soil's classical physical and chemical …

Soil nutrients prediction using remote sensing data in western india: An evaluation of machine learning models

G Kaur, K Das, J Hazra - IGARSS 2020-2020 IEEE International …, 2020 - ieeexplore.ieee.org
Soil nutrient estimation can be used as a key input to increase crop yield and agriculture
fertilization. Due to the shortage of the ground measured spectrum technology and …