A5043609266- Soil Carbon and Nitrogen Dynamics
- Soil Geostatistics and Mapping
- Multi-Criteria Decision Making
- Mineral Processing and Grinding
- Smart Agriculture and AI
- Sustainable Agricultural Systems Analysis
- Pasture and Agricultural Systems
- Soil and Unsaturated Flow
- Agriculture Sustainability and Environmental Impact
- Economic theories and models
- Peatlands and Wetlands Ecology
- Soil and Land Suitability Analysis
- Research Data Management Practices
- Economic and Environmental Valuation
The crucial role of healthy soil in achieving sustainable food production and environment is increasingly recognized, as the importance proper assessment quality. We introduce a new framework, open index (OSI), which integrally evaluates health agricultural fields provides recommendation for farming practices. OSI an open-source modular framework properties, functions, indicators scores, management advice are linked hierarchically. Soil evaluated with respect to crop but can be extended...
Soil health is essential to global sustainable food production. Beyond its role in production, soil also plays a crucial maintaining ecosystem and mitigating climate change. Monitoring improving the of agricultural soils requires insight into spatial variation properties associated functions. Measuring this via classic sampling analysis on field, regional or scale challenging due high variability inherent lack affordable reliable measurement methods. We present here novel worldwide...
Amorphous iron- and aluminium-(hydr)oxides are key soil properties in controlling the dynamics of phosphorus availability carbon storage. These oxides affect potential soils to retain carbon, thus affecting ecosystem services such as crop production, water quality sequestration. In this study, we spatially predicted oxalate-extractable Fe Al (FeOX, AlOX) contents Netherlands at 25 m resolution across six depth layers between 0 200 cm quantified associated prediction uncertainty using...
Abstract The main hurdle in instrumentalizing agricultural soils to sequester atmospheric carbon is the development of methods measure soil stocks which are robust, scalable, and widely applicable. Our objective develop an approach that can help overcome these hurdles. In this paper, we present Wageningen Soil Carbon STOck pRotocol (SoilCASTOR). SoilCASTOR uses a novel fusing satellite data, direct proximal sensing-based measurements, machine learning yield stock estimates. method has been...
Improved soil and cropland management changes the carbon stocks thereby mitigate climate change. However, spatially explicit insights on impacts as well critical thresholds for optimum SOC levels are lacking, which is crucial actionable in farming practices. In this study we unravelled contribution of texture, geohydrology quality to Netherlands using a data-driven approach (using XGBoost) 21.123 analyses done by agricultural laboratories. The current C stock 0-30cm layer 119 ton ha-1 could...
The main hurdle in instrumentalizing agricultural soils to sequester atmospheric carbon is a development of methods measure soil stocks on farm level which are robust, scalable and widely applicable. Specifically, it necessary that socio-economic barriers related cost, usability accessibility overcome. We present the Wageningen Soil Carbon Stock pRotocol (SoilCASTOR), method for stock assessment using satellite data, direct measurements via mobile sensors machine learning can help overcome...