Digital map** of GlobalSoilMap soil properties at a broad scale: A review
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …
under pressure due to population growth, higher food demand, and land use competition …
[HTML][HTML] Computer vision technology in agricultural automation—A review
H Tian, T Wang, Y Liu, X Qiao, Y Li - Information Processing in Agriculture, 2020 - Elsevier
Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …
camera and computer instead of the human eye to identify, track and measure targets for …
Using soil library hyperspectral reflectance and machine learning to predict soil organic carbon: Assessing potential of airborne and spaceborne optical soil sensing
Soil organic carbon (SOC) is a key variable to determine soil functioning, ecosystem
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
services, and global carbon cycles. Spectroscopy, particularly optical hyperspectral …
Remote sensing techniques for soil organic carbon estimation: A review
Towards the need for sustainable development, remote sensing (RS) techniques in the
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Visible-Near Infrared–Shortwave Infrared (VNIR–SWIR, 400–2500 nm) region could assist …
Using deep learning for digital soil map**
Digital soil map** (DSM) has been widely used as a cost-effective method for generating
soil maps. However, current DSM data representation rarely incorporates contextual …
soil maps. However, current DSM data representation rarely incorporates contextual …
An advanced soil organic carbon content prediction model via fused temporal-spatial-spectral (TSS) information based on machine learning and deep learning …
X Meng, Y Bao, Y Wang, X Zhang, H Liu - Remote Sensing of Environment, 2022 - Elsevier
Abstract Knowledge of the soil organic carbon (SOC) content is critical for environmental
sustainability and carbon neutrality. With the development of remote sensing data and …
sustainability and carbon neutrality. With the development of remote sensing data and …
Imaging spectroscopy for soil map** and monitoring
There is a renewed awareness of the finite nature of the world's soil resources, growing
concern about soil security and significant uncertainties about the carrying capacity of the …
concern about soil security and significant uncertainties about the carrying capacity of the …
Soil variability and quantification based on Sentinel-2 and Landsat-8 bare soil images: A comparison
There is a worldwide need for detailed spatial information to support soil map**, mainly in
the tropics, where main agricultural areas are concentrated. In this line, satellite images are …
the tropics, where main agricultural areas are concentrated. In this line, satellite images are …
Advancement of remote sensing for soil measurements and applications: A comprehensive review
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
[HTML][HTML] Improving model parsimony and accuracy by modified greedy feature selection in digital soil map**
In the context of increasing soil degradation worldwide, spatially explicit soil information is
urgently needed to support decision-making for sustaining limited soil resources. Digital soil …
urgently needed to support decision-making for sustaining limited soil resources. Digital soil …