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The behavioural characteristics of sediment properties and their implications for sediment fingerprinting as an approach for identifying sediment sources in river basins
Sediment fingerprinting is a technique that is increasingly being used to improve the
understanding of sediment dynamics within river basins. At present, one of the main …
understanding of sediment dynamics within river basins. At present, one of the main …
Imaging spectrometry for soil applications
Imaging spectroscopy (IS) is a new technique that has attracted the attention of many
workers in many disciplines. In the field of soil science, this technology is not well developed …
workers in many disciplines. In the field of soil science, this technology is not well developed …
Soil map**, classification, and pedologic modeling: History and future directions
Soil map**, classification, and pedologic modeling have been important drivers in the
advancement of our understanding of soil from the earliest days of the scientific study of …
advancement of our understanding of soil from the earliest days of the scientific study of …
Soil erosion modeled with USLE, GIS, and remote sensing: a case study of Ikkour watershed in Middle Atlas (Morocco)
A El Jazouli, A Barakat, A Ghafiri, S El Moutaki… - Geoscience Letters, 2017 - Springer
The Ikkour watershed located in the Middle Atlas Mountain (Morocco) has been a subject of
serious soil erosion problems. This study aimed to assess the soil erosion susceptibility in …
serious soil erosion problems. This study aimed to assess the soil erosion susceptibility in …
Improving prediction of chickpea wilt severity using machine learning coupled with model combination techniques under field conditions
Accurate estimation of disease severity in the field is a key to minimize the yield losses in
agriculture. Existing disease severity assessment methods have poor accuracy under field …
agriculture. Existing disease severity assessment methods have poor accuracy under field …
[HTML][HTML] Fine-scale map** of soil organic matter in agricultural soils using UAVs and machine learning
The fine-scale map** of soil organic matter (SOM) in croplands is vital for the sustainable
management of soil. Traditionally, SOM map** relies on laboratory methods that are labor …
management of soil. Traditionally, SOM map** relies on laboratory methods that are labor …
Multi-algorithm comparison to predict soil organic matter and soil moisture content from cell phone images
An accurate assessment of soil organic matter (SOM) and soil moisture content (SMC) is
critical for applications in the fields of agriculture, environment, and engineering. However …
critical for applications in the fields of agriculture, environment, and engineering. However …
Using a digital camera to measure soil organic carbon and iron contents
High-resolution digital soil map** for applications like precision agriculture requires the
collection of good-quality high spatial resolution information. Conventional soil analysis is …
collection of good-quality high spatial resolution information. Conventional soil analysis is …
[HTML][HTML] Combination of effective color information and machine learning for rapid prediction of soil water content
G Liu, S Tian, G Xu, C Zhang, M Cai - Journal of Rock Mechanics and …, 2023 - Elsevier
Soil water content (SWC) is one of the critical indicators in various fields such as
geotechnical engineering and agriculture. To avoid the time-consuming, destructive, and …
geotechnical engineering and agriculture. To avoid the time-consuming, destructive, and …
Spectroscopic measurements and imaging of soil colour for field scale estimation of soil organic carbon
Effective measurement and management of soil organic carbon (SOC) are essential for
ecosystem function and food production. SOC has an important influence on soil properties …
ecosystem function and food production. SOC has an important influence on soil properties …