Results 41 to 50 of about 861 (182)
This study aimed to explore an affordable and easily accessible alternative to the Munsell colour system, while also assessing the reliability of data output from the Munsell colour chart when used by two different individuals. The research involved the
A.B. Shobayo +2 more
semanticscholar +1 more source
Analysis of Uncertainty in the Depth Profile of Soil Organic Carbon
The soil organic carbon (SOC) depth profile provides information for many applications, including monitoring climate change, carbon sequestration, reforestation, and land erosion.
N. Robinson, K. Benke
semanticscholar +1 more source
Looking back and moving forward: 50 years of soil and soil fertility management research in sub-Saharan Africa [PDF]
Article purchased; Published online: 02 Nov 2017Low and declining soil fertility has been recognized for a long time as a major impediment to intensifying agriculture in sub-Saharan Africa (SSA).
AbdelGadir, Abdel Aziz H. +39 more
core +1 more source
A Stochastic Approach to Quantifying the Propagation of Uncertainty in Soil Organic Carbon Content
ABSTRACT Background Precision agriculture (PA) is a site‐specific management approach that utilises spatiotemporal information to improve productivity while also promoting sustainability. Accurate estimates of soil properties, along with the uncertainty of these estimates, are necessary for decision‐making in PA.
Leonardo Inforsato +6 more
wiley +1 more source
A pedogeomorphic strategy for tidal marsh carbon accounting
Abstract Tidal marsh soils have some of the largest carbon stocks of any ecosystem, yet uncertainty remains about the best approach to quantify these C stocks. We tested whether separating tidal marshes into pedogeomorphic units (PGUs) could improve regional‐scale blue C accounting in two separate regions on the Atlantic coast: southern New England (NE)
Joseph V. Manetta +4 more
wiley +1 more source
Understanding soil variability supports improved land use and soil security. This study aimed to generate uniform geophysical classes by integrating data from three proximal geophysical sensors with synthetic soil and satellite images using machine ...
Gustavo Vieira Veloso +13 more
doaj +1 more source
This study combines GPR, 2D ERT and UAV‐derived terrain models to characterize sediment variability in a colluvial‐alluvial plain. GPR identified sandy lenses and clay‐rich layers, while ERT revealed deeper conductive and resistive zones, including a gneissic basement.
Nádia Mariane Mucha +5 more
wiley +1 more source
ABSTRACT Bulk density (BD) is among the most important physical soil properties, influencing many other soil properties, functions and services. An earlier study revealed that BD observations in the Hungarian Soil Information and Monitoring System (SIMS) contain errors and need correction.
Seyedehmehrmanzar Sohrab +4 more
wiley +1 more source
Using machine learning to update soil survey [PDF]
Soil survey in the recent past seems to be taking a paradigm shift with the advent of various geospatial and pedometric techniques. The impetus for this includes both the usability and the limitations associated with traditional soil survey products ...
Subburayalu, Sakthi Kumaran
core

