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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 organic carbon estimation using VNIR–SWIR spectroscopy: The effect of multiple sensors and scanning conditions
Visible–near infrared–shortwave infrared (VNIR–SWIR) spectroscopy is being increasingly
used for soil organic carbon (SOC) assessment. Common practice consists of scanning soil …
used for soil organic carbon (SOC) assessment. Common practice consists of scanning soil …
A memory-based learning approach utilizing combined spectral sources and geographical proximity for improved VIS-NIR-SWIR soil properties estimation
The current study was driven by the need to derive improved soil information whereby the
strengths of memory-based learning and soil spectroscopy are exploited towards …
strengths of memory-based learning and soil spectroscopy are exploited towards …
An evolutionary fuzzy rule-based system applied to the prediction of soil organic carbon from soil spectral libraries
The recent efforts for obtaining vast soil spectral libraries covering a significant part of the
spatial and compositional variability of soils have underscored the need for accurate and …
spatial and compositional variability of soils have underscored the need for accurate and …
Prediction of nitrogen, active carbon, and organic carbon‐to‐clay ratio in agricultural soils by in‐situ spectroscopy
Visible and near‐infrared (vis–NIR) spectroscopy is a promising technology for the analysis
of different soil quality parameters. In this study, we used in‐situ vis–NIR spectroscopy in …
of different soil quality parameters. In this study, we used in‐situ vis–NIR spectroscopy in …
An evolutionary fuzzy rule-based system applied to real-world Big Data-the GEO-CRADLE and LUCAS soil spectral libraries
This work focuses on the application of an evolutionary fuzzy rule-based system following
the MapReduce principle to real-world big data regression problems. The examined …
the MapReduce principle to real-world big data regression problems. The examined …
[PDF][PDF] Faculty of Agriculture and Natural Environment School of Agriculture
N Tziolas - 2022 - scholar.archive.org
To safeguard natural capital of soils, in a continuously volatile landscape of reduced
resources and environmental changes and pave the way for the development of evidence …
resources and environmental changes and pave the way for the development of evidence …
Digital soil map** using Sentinel-2 imagery supported by ASTER thermal infrared bands
The importance of monitoring soil properties is constantly increasing among researchers
and policy-makers. In this context, it is imperative to identify cost effective and reliable …
and policy-makers. In this context, it is imperative to identify cost effective and reliable …
Novel in situ system for monitoring soil organic carbon by using mobile Vis-NIR spectroscopy and machine learning techniques.
Recognizing the importance of Soil Organic Carbon (SOC) for effectively reorienting and
transforming agricultural systems towards the perspective of climate smart agriculture, it is …
transforming agricultural systems towards the perspective of climate smart agriculture, it is …