soilspec
@soilspec
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Tweeting about diffuse reflectance spectroscopy for soil science and updates from USDA NIFA FACT CIN Soil Spectroscopy for the Global Good project
Joined December 2020
More evaluation of low‐cost Vis–NIR spectrometers - combination of two sensors works nearly as well as lab-grade instruments...
bsssjournals.onlinelibrary.wiley.com
Visible and near-infrared (Vis–NIR) spectroscopy provides a rapid approach to assess soil properties in situ, reducing the need for labour-intensive analyses of large-scale soil surveys. However,...
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Neat paper emulating various low cost sensors using the LUCAS VisNIR spectral database - conclusion: sensors that cover the later part of the NIR range are much better than those that only cover the lower wavelengths
bsssjournals.onlinelibrary.wiley.com
Soil health is critical for sustaining ecosystem functions and addressing environmental challenges. Effective soil health management requires reliable methods for assessing soil properties. Soil...
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Application of calibration transfer techniques between different mid‐infrared spectrometers/modules to improve accuracy in estimating soil properties in @sssajournal
https://t.co/fj3ugqTP5P
acsess.onlinelibrary.wiley.com
New spectrometers are compact, affordable, portable, and widely adopted for soil property measurement. Developing new training datasets for each spectrometer is expensive and time-consuming. Levera...
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Combining digital microscopy with VNIR spectroscopy to estimate aggregation https://t.co/YSc0aKqWO9
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Soil Organic Carbon Prediction Using an Efficient Channel Attention‐Enhanced CNN‐LSTM Model With LUCAS Spectral Library
bsssjournals.onlinelibrary.wiley.com
Visible near-infrared reflectance spectroscopy (Vis–NIR) has been widely used in soil organic carbon (SOC) prediction due to its rapid, cost-effective, and non-destructive characteristics. Numerous...
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MIR spectroscopy was used as a diagnostic tool to better understand what each Pyrogenic Carbon method was actually isolating.
Interested in fire-derived carbon in soils? Interested in how to quantify this pyrogenic carbon? Read on... https://t.co/96rV0zktPw
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Nice paper by a great team working across multiple soil spectral libraries to produce quality predictions from field measurements - good harmonization & standardization methods are the key
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Effective spectral pre-processing methods enhance accuracy of soil property prediction by NIR spectroscopy https://t.co/jYVTM2cVez
link.springer.com
Discover Applied Sciences - Near-infrared (NIR) spectroscopy is a fast, non-invasive, and effective technique that has gained widespread use in soil analysis. Pre-processing plays an essential role...
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https://t.co/tOXqw7kijV We're looking for a talented data/code wrangler to join our rangeland carbon research program to understand the climate benefits of regenerative grazing practices across millions of acres of grasslands.
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Proficiency tests for soil analysis services via proximal sensing https://t.co/OH6EimmDy5
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A must read by Wadoux & Ramirez-Lopez. Uncertainty of predictions in absorption spectroscopy
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Exploring Generative Artificial Intelligence and Data Augmentation Techniques for Spectroscopy Analysis | Chemical Reviews
pubs.acs.org
Generative artificial intelligence (AI) techniques are advancing rapidly and are becoming increasingly challenging to implement. Researchers, practitioners, and enthusiasts alike now require an...
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After almost 3 years of data preparation, testing, optimization, we have finished the v1 of the 30 m resolution global #soilcarbon density, soil carbon content, pH, texture fractions, bulk density and soil types (USDA subgroups). Soil carbon and soil pH are mapped as dynamic soil
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More deep learning applied to the LUCAS spectral database... GhostNet and soil pH https://t.co/nSvxUZuny9
journals.plos.org
Soil pH is an important parameter that affects plant nutrient uptake and biological activity and has received extensive attention and research. In this paper, we propose a neural network algorithm...
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From the editorial board at @JBiogeochem "As global citizen scientists, we must therefore continue to advocate for the value of science"
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Pedological features affecting carbon accumulation in submerged-soils using VNIR spectroscopy... https://t.co/ChKJhRmUOT
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🟠Day 2 Wrap-Up from the #SoilHealthNow! Conference: A Deep Dive into Europe's Innovation Paradox 🌍💡 🌾During yesterday’s panel on The Soil Data Revolution: How Earth Observation, Spectroscopy, and AI are Changing Soil Use Forever, experts showcased how cutting-edge
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Remote sensing and environmental covariates improves predictions of soil properties from VNIR spectroscopy alone https://t.co/DZTPQNLnUD
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Federated learning applications in soil spectroscopy - learning without having to share data.
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