[HTML][HTML] Developing spectrotransfer functions (STFs) to predict basic physical and chemical properties of calcareous soils
Spectroscopy in visible (Vis) and near-infrared (NIR) provides a rapid, timely, non-
destructive, low-preparation, and less expensive analysis of soil samples in comparison with …
destructive, low-preparation, and less expensive analysis of soil samples in comparison with …
[HTML][HTML] Hyperspectral estimation of wheat stripe rust using fractional order differential equations and Gaussian process methods
J Zhang, X Jing, X Song, T Zhang, WN Duan… - … and Electronics in …, 2023 - Elsevier
Wheat stripe rust is the main cause of yield loss in winter wheat. For nondestructive
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …
monitoring of wheat stripe rust by remote sensing, a high-precision stripe rust monitoring …
Monitoring properties of the salt-affected soils by multivariate analysis of the visible and near-infrared hyperspectral data
The study aimed to estimate the properties of the salt-affected soils (SAS) using
hyperspectral remote sensing. The study was carried out on typical SAS from 372 locations …
hyperspectral remote sensing. The study was carried out on typical SAS from 372 locations …
Soil spatial variability characterization: Delineating index-based management zones in salt-affected agroecosystem of India
Farm level recommendation in salt-affected agricultural landscapes is practically difficult due
to spatial variations in inherent soil salinity, diverse farming situations and associated land …
to spatial variations in inherent soil salinity, diverse farming situations and associated land …
Determination of soil physicochemical attributes in farming sites through visible, near-infrared diffuse reflectance spectroscopy and PLSR modeling
Introduction An accurate and reliable detection of soil physicochemical attributes (SPAs) is a
difficult and complicated issue in soil science. The SPA may be varied spatially and …
difficult and complicated issue in soil science. The SPA may be varied spatially and …
Performance comparison of machine learning algorithms for estimating the soil salinity of salt-affected soil using field spectral data
S Wang, Y Chen, M Wang, J Li - Remote Sensing, 2019 - mdpi.com
Salt-affected soil is a prominent ecological and environmental problem in dry farming areas
throughout the world. China has nearly 9.9 million km 2 of salt-affected land. The …
throughout the world. China has nearly 9.9 million km 2 of salt-affected land. The …
Fe-exchanged nano-bentonite outperforms Fe3O4 nanoparticles in removing nitrate and bicarbonate from wastewater
R Mukhopadhyay, T Adhikari, B Sarkar… - Journal of hazardous …, 2019 - Elsevier
Abstract Nitrate (NO 3−) and bicarbonate (HCO 3−) are harmful for the water quality and can
potentially create negative impacts to aquatic organisms, crops and humans. This study …
potentially create negative impacts to aquatic organisms, crops and humans. This study …
[HTML][HTML] Spatio-temporal assessment of soil salinization utilizing remote sensing derivatives, and prediction modeling: Implications for sustainable development
This study aims to investigate the combined use of multi-sensor datasets (Landsat 4–5 & 8
OLI satellite imagery, spatial resolution= 30 m) coupled with field studies to evaluate spatio …
OLI satellite imagery, spatial resolution= 30 m) coupled with field studies to evaluate spatio …
The scope for using proximal soil sensing by the farmers of india
Knowledge about spatial distribution patterns of soil attributes is very much needed for site-
specific soil nutrient management (SSSNM) under precision agriculture. High spatial …
specific soil nutrient management (SSSNM) under precision agriculture. High spatial …
Proximal sensing approach for characterization of calcareous soils using multiblock data analysis
Application of visible-near infrared (VNIR) or mid-infrared (MIR) proximal sensing for
prediction of soil attributes has proven successful in many cases and is currently extensively …
prediction of soil attributes has proven successful in many cases and is currently extensively …