NAL Automated Indexing
Library content grows rapidly every year as knowledge expands, but it isn't possible for a small team of librarians to organize it manually, efficiently, and accurately at scale.
LCAT - Land Change Analysis Technique
Generating landcover from imagery
Raster Tools
Integrating geospatial analysis with AI in parallel.
TreeMap and FuelMap (all versions)
Produce tree-level model of the forests of the US, and corresponding model of fuel loading.
Landscape Change Monitoring System (LCMS)
LCMS produces annual vegetation cover change, land cover, land use, and tree canopy cover data on National Forest System lands and more broadly across the conterminous United Stat…
Forest Health Detection Monitoring
This project monitors forest health by detecting tree damage through changes in light patterns collected by satellites.
Cropland Data Layer
Generating agricultural statistics
Conservation Effects Assessment Project
The purpose of the use case is to predict the conservation effects of cropland practices in real time, with no technical skill required.
Digital Imagery (no-change) for NRI Program
AI algorithms are used to look at landscape images and detect if the landscape has changed from year to year.
Genomic Analyses of Pathogen Subtypes
The purpose of this use case is to use machine learning (ML) methods to group foodborne bacteria based on patterns in their genes, then connect this information with available hea…
Foodborne Illness Source Attribution
The Interagency Food Safety Analytics Collaboration (IFSAC) - a partnership between the Centers for Disease Control and Prevention (CDC), the U.S. Food and Drug Administration (FD…
DISTRIB-II: Habitat Suitability of Eastern United States Tree
The goal of this use case is to provide information about current and future habitat suitability of east United States tree species. Machine learning is used to develop models tha…
Rapid Drafting of ARS Research Summaries
The purpose of this tool is to summarize ongoing research from internal Agricultural Research Service (ARS) documents to allow program staff to efficiently understand ARS research…
NASS Automated Editing Tool
The purpose of this model is to determine if an answer on a survey is valid or invalid. If an answer is classified as invalid, a model will then suggest a corrected value.
XyloTron/XyloPhone Wood Identification System
The purpose of these tools is to identify different types of wood based on their cross-section. These tools will help industries follow laws and support law enforcement in meeting…
Forest disease detection and screening
To improve tree disease diagnosis and screening.
Use of LLMs for data extraction
The purpose of this model is to quickly gather information from scientific papers to track the spread of plant diseases.
Fire Resilient Landscapes
Assists in planning treatments to reduce wildfire risk and calculate treatment costs
Spread and Balance Sample Design
The purpose of this tool is to produce samples that are well spread and balanced, reducing sampling cost and error.
Regression, Classification, Clustering with Hilbert Curves
Implementation of many machine learning techniques into applied research
The Big Data, Mapping, and Analytics Platform (BIGMAP) Project
To produce maps of various characteristics of US forests at all locations, based on field plots measured by the US Forest Service Forest Inventory and Analysis (FIA) program only…
Wildlife Deterrent System
The purpose of the AI device is to keep coyotes out of a fenced area by blocking their entry through a gap in the fence, while still allowing other wildlife to pass through.
Markov random fields for mixed forests
A level of uncertainty can exist in model predictions and sometimes that level of uncertainty is incorrectly assessed, leading to less effective decision-making when based on the…
IOL Focus Group and Survey Sensemaking
Processing and interpretation of questionnaires and transcripts can be slow and tedious. Using Google NotebookLM can improve the process.