A5029811447- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil Carbon and Nitrogen Dynamics
- Soil and Land Suitability Analysis
- Genetic and phenotypic traits in livestock
- Ruminant Nutrition and Digestive Physiology
- Animal Nutrition and Physiology
- Soil erosion and sediment transport
- Spectroscopy and Chemometric Analyses
- Mineral Processing and Grinding
- Metabolomics and Mass Spectrometry Studies
- Potato Plant Research
- Animal Diversity and Health Studies
- Rangeland and Wildlife Management
- Southeast Asian Sociopolitical Studies
- Forest Management and Policy
- Additive Manufacturing and 3D Printing Technologies
- Agricultural Innovations and Practices
- Scientific Computing and Data Management
- Research Data Management Practices
- Soil Moisture and Remote Sensing
- Recycling and Waste Management Techniques
- Data Analysis with R
- Image Processing and 3D Reconstruction
- South Asian Studies and Conflicts
ETH Zurich
2017-2024
International Space Science Institute
2024
Bern University of Applied Sciences
2021-2022
CSIRO Land and Water
2022
Board of the Swiss Federal Institutes of Technology
2020
There is global interest in spectroscopy and the development of large diverse soil spectral libraries (SSL) to model organic carbon (SOC) monitor, report, verify (MRV) its changes. The reason that increasing SOC can improve food production mitigate climate change. However, 'global' modelling with such hyperdimensional SSLs do not generalise well locally, e.g. at a field scale. To address this challenge, we propose deep transfer learning (DTL) leverage useful information from large-scale...
Abstract. Information on soils' composition and physical, chemical biological properties is paramount to elucidate agroecosystem functioning in space over time. For this purpose, we developed a national Swiss soil spectral library (SSL; n=4374) the mid-infrared (mid-IR), calibrating 16 from legacy measurements soils Biodiversity Monitoring program (BDM; n=3778; 1094 sites) long-term Soil Network (NABO; n=596; 71 sites). General models were trained with interpretable rule-based learner...
Abstract. Information on soil properties is crucial for preservation, the improvement of food security, and provision ecosystem services. In particular, African continent, spatially explicit information soils their ability to sustain these services still scarce. To address data gaps, infrared spectroscopy has achieved great success as a cost-effective solution quantify in recent decades. Here, we present mid-infrared spectral library (SSL) central Africa (CSSL) that can predict key...
Abstract We need measurements of soil water retention (SWR) and available capacity (AWC) to assess model functions, but methods are time‐consuming expensive. Our aim here was investigate the modelling AWC SWR with visible–near‐infrared spectra (vis–NIR) machine‐learning method cubist . used soils from 54 locations across Australian agricultural regions, three depths: 0–15 cm, 15–30 cm 30–60 cm. The volumetric content samples their vis–NIR were measured at seven matric potentials −1 kPa −1500...
Abstract. Traditional laboratory methods for acquiring soil information remain important assessing key properties, functions and ecosystem services over space time. Infrared spectroscopic modeling can link massively scale up these many characteristics in a cost-effective timely manner. In Switzerland, only 10 % to 15 of agricultural soils have been mapped sufficiently serve spatial decision support systems, presenting an urgent need rapid quantitative characterization. The current Swiss...
Abstract. Low soil fertility is challenging the sustainable production of yam and other staple crops in belt West Africa. Quantitative measures are needed to assess decline improve crop nutrient supply region. We developed tested a mid-infrared (mid-IR) spectral library enable timely cost-efficient assessments properties. Our collection included 80 samples from four landscapes (10 km × 10 km) 20 fields per landscape across gradient humid forest savannah 14 additional one that had been...
Abstract. Predicting the quantity of soil organic carbon (SOC) requires understanding how different factors control amount SOC. Land use has a major influence on function as sink, shown by substantial (OC) losses from upon deforestation. However, predicting degree to which land change affects OC content in soils and depth down this occurs context-specific information related to, for example, climate, geochemistry, history. In study, 266 samples forests agricultural fields were collected 94...
Abstract. Information on soils' composition and physical, chemical biological properties is paramount to elucidate agroecosystem functioning in space over time. For this purposes we developed a national Swiss soil spectral library (SSL; n = 4374) the mid-infrared (mid-IR), calibrating 17 from legacy measurements soils biodiversity monitoring program (n 3778; 1094 sites) long-term network 596; 71 sites). General models were trained with interpretable rule-based learner CUBIST, testing...
Abstract. Information on soil properties is crucial for preservation, improving food security, and the provision of ecosystem services. Especially, African continent, spatially explicit information soils their ability to sustain these services still scarce. To address data gaps, infrared spectroscopy has gained great success as a cost-effective solution quantify in recent decades. Here, we present mid-infrared spectral library (SSL) central Africa (CSSL) that can predict key allowing future...
Soil visible-near infrared (vis–NIR) spectra are complex and modeling soil properties can be challenging. They suffer from additive multiplicative noise, they hyper-dimensional highly collinear, making their analyses interpretation sometimes difficult. Here, we introduce the Gaussian pyramid scale space as a multi-resolution approach for denoising spectra, reducing dimensionality, improving interpretability accuracy of spectroscopic machine learning. We also used to analyse contextual...
Grassland-based ruminant livestock production provides a sustainable alternative to intensive systems relying on concentrated feeds. However, grassland-based roughage often lacks the energy content required meet productivity potential of modern breeds. Forage legumes, such as red clover, with increased starch could partly replace maize and cereal supplements. breeding for requires efficient phenotyping methods. This study is unique in evaluating non-destructive hyperspectral imaging approach...
Abstract Historical evidence is often used in contemporary debates about future policy to promote particular ideological positions on the role that common property regimes should play. This paper examines these and argues Indian Himalayas historically provided only one of an interdependent set production strategies.
Abstract. Traditional laboratory methods of acquiring soil information remain important for assessing key properties, functions and ecosystem services over space time. Infrared spectroscopic modelling can link massively scale up these many characteristics in a cost-effective timely manner. In Switzerland, only 10 % to 15 agricultural soils have been mapped sufficiently serve spatial decision support systems, presenting an urgent need rapid quantitative characterization. The current Swiss...
Abstract. Low soil fertility is challenging the sustainable production of staple crops in yam belt West Africa. Quantitative measures are needed to assess decline and improve crop fertilization management region. We developed tested a mid-infrared (mid-IR) spectral library enable timely cost-efficient assessments properties. Our collection included 80 samples from four landscapes (10 km × 10 km) 20 fields/landscape across gradient humid forest savanna, 14 additional one landscape that had...
Abstract Background: Grassland-based ruminant livestock production provides a sustainable alternative to intensive systems relying on concentrated feeds. However, grassland-based roughage often lacks the energy content required meet productivity potential of modern breeds. Forage legumes, such as red clover, with increased starch could partly replace maize and cereal supplements. breeding for requires efficient phenotyping methods. This study is unique in evaluating non-destructive...
Abstract. Predicting the quantity of soil organic carbon (SOC) requires understanding about how different factors control amount SOC. Land use has a major influence on function as sink, shown by substantial (OC) losses from upon deforestation. Yet, predicting degree to which land change affects SOC content, and depth down this occurs, context-specific information related to, for example, climate, geochemistry, history. In study, samples collected 300 cm forests agricultural fields in...
<p>Soil data at different scales are needed for assessments and monitoring of soil functions. Soil diffuse reflectance spectroscopy using visible–Near Infrared mid-Infrared energies can be used to estimate a range properties, rapidly inexpensively. However the spectroscopic modeling is challenging because large diversity its complex composition. We developed National Spectral library (SSL) (n = 4339) samples from (i) Swiss Monitoring Network (NABO; 7 sampling...
Abstract Background Grassland-based ruminant livestock production provides a sustainable alternative to intensive systems relying on concentrated feeds. However, grassland-based roughage often lacks the energy content required meet productivity potential of modern breeds. Forage legumes, such as red clover, with increased starch could partly replace maize and cereal supplements. breeding for requires efficient phenotyping methods. This study is unique in evaluating non-destructive...
Abstract Background: Grassland-based ruminant livestock production provides a sustainable alternative to intensive systems relying on concentrated feeds. However, grassland-based roughage often lacks the energy content required meet productivity potential of modern breeds. Forage legumes, such as red clover, with increased starch could partly replace maize and cereal supplements. breeding for requires efficient phenotyping methods. This study is unique in evaluating non-destructive...