Systems for Monitoring and Analytics for Renewable Transportation Fuels from Agricultural Resources and Management (SMARTFARM SBIR/STTR)
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54 ENVIRONMENTAL SCIENCES↗
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AmeriFlux FLUXNET-1F US-RGF Stanislaus County Forage Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGF Stanislaus County Forage Farm. This is the FLUXNET version of the carbon flux data for the site US-RGF Stanislaus County Forage Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed field in Stanislaus County, California. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project (https://arpa-e.energy.gov/news-and-media/blog-posts/smartfarm-changing-whats-possible-agriculture). Field is approx. 31.3 ha in size (1,300 ft by 2,600 ft), part of a 176+ acre site in several fields with commercial corn-wheat rotation for silage, in combination with manure application.
Schuppenhauer, Michael R.↗
AmeriFlux FLUXNET-1F US-RGW Desha County Rice Farm
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-RGW Desha County Rice Farm. This is the FLUXNET version of the carbon flux data for the site US-RGW Desha County Rice Farm produced by applying the standard ONEFlux (1F) software. Site Description - Commercially farmed rice variety, field in Desha County, Arkansas. Part of a five-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project.
Schuppenhauer, Michael R.↗
NitroNet: Smart System to Quantify Nitrous Oxide Emissions
Agricultural croplands are the largest anthropogenic source of nitrous oxide (N 2 O), the third most important greenhouse gas. Emissions are characterized by “hot spots” and “hot moments”, meaning emissions are highly heterogeneous in space and time. Emissions are driven by nitrification and denitrification processes which depend upon complex factors such as soil characteristics (type, compaction, pH, moisture, topography), management practices (fertilizer type and application, tillage, crop type, field history, irrigation), biogeochemistry (organic carbon, microbial composition), and meteorology (precipitation, temperature, and wind). For these reasons, quantifying cropland emissions by either measurements or modeling is extremely challenging with large uncertainties.
09 BIOMASS FUELS↗