Department of Agriculture

The purpose of the model is to improve the Economic Research Service (ERS) research approval process.

The purpose of this AI use case is to generate metadata for Natural Resources Conservation Service (NRCS) datasets, ensuring consistency, accessibility, and compliance through generative AI.

The Dynamic Soils Hub (DS Hub) under the Natural Resources Conservation Service (NRCS) is a tool designed to help both government workers and the public understand and analyze soil information.

The agency needs to independently check and track the use of cover crops on farms.

The purpose of this model is to determine if an answer on a survey is valid or invalid.

The purpose of this chatbot is to help handle requests for support with geospatial software between our team and the software vendor.

Automated AI image analysis tool for screening and detection methods to increase efficiency and reduce human error in sterile insect technique programs.

Updating technical policy currently involves lengthy literature review that can take many months to complete.

The HR chatbot provides support to Human Resources personnel by addressing benefits-related inquiries, particularly during the open season period.

Enables inspectors to perform remote dispositions and receive training in real-time, hands-free.

Consumers have a need to verify product safety quickly and efficiently, opportunity to enhance public trust and food safety awareness.

There are often scenes of field work that are difficult to photograph for use in educational presentation.

Classifying environmental suitability of wetlands for a species of turtle.

Estimating environmental suitability of stream cells for a turtle species.

Estimating environmental suitability for amphibians

Estimation of environmental suitability for two salamander species.

To evaluate relationships between remotely collected data on forest conditions and more detailed information on forest conditions obtained through direct measurements in the forest

Feral ungulates (animals with hooves) are not native to Hawaii, cause agricultural and forest damage, and can also transmit disease.

National Agriculture Statistics Service (NASS) Data is relatively difficult to retrieve.

Pre-season planted acreage forecasts for corn and soybeans are needed for decision-making by the National Agriculture Statistics Service (NASS) agricultural statistics board

Since not all farms sign up for Farm Service Agency (FSA) programs, total crop acreage is estimated by National Agriculture Statistics Service (NASS) for use in its programs.

Public comments analysts are overburdened with processing large volumes of public comments.

Recording audio for videos (onboarding, educational materials, etc.) is costly and time consuming.

Standardization of Cut Flower Business Names for Message Set Data

AI algorithms are used to look at landscape images and detect if the landscape has changed from year to year.

The agency needs to independently check and confirm the planting dates reported by farmers to ensure the integrity of their programs.

Making sure crop programs are fair and correct, this tool helps the agency validate that the reported field sizes and crop types are accurate.

To reduce manual intervention and automate searchability of Plum Island lab manuals and scientific documents.

Need deeper insights from Food Safety Inspection Service (FSIS) datasets by identifying trends, anomalies, and predictive indicators that inform decision-making.

Business operations with camera technology to detect food safety issues in poultry slaughter lines.

Need for improved incident detection and response acceleration

Providing leadership with information about impacts to dams (high hazard and other dams) after storm events or other natural disaster events is time consuming and can delay leaders receiving needed information for dec...

Determining which features of a forest best indicate species presence and amount

Predict species habitat under current and future conditions

Geospatial data and models can be difficult to navigate and understand, especially for non-expert geospatial data users.

Answer easier Geographic Information System (GIS) help desk questions based on published Knowledge Based Articles (KBAs) which are used to train the model.

The primary purpose of this project is to reduce the amount of time each Forest Service nursery takes to manually count seedlings using images.

Web applications in Google Cloud Platform (GCP) for unmanned aerial system (UAS) allow the Forest Service to deliver user-friendly tools that meet niche program needs, supporting both fire management and timber produc...

High-quality seed is essential to sustain long-term reforestation goals and timber production, both identified as national priorities under Executive Order 14225 (Increasing Timber Production), Secretarial Memo 1078-0...

The purpose of this model is to investigate how species' responses to climate and disturbance influence forest resilience.

AI based recommendation system to enhance flight safety by analyzing data, predicting potential safety issues, and aiding in real-time decision-making.

Improve U.S.

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 outputs and create accurate and timel...

Supports inspectors in drafting Noncompliance Records (NRs) and Memorandums of Interview (MOIs).

Live agents are overburdened trying to respond to a high volume of common food safety questions.

Need for enhanced cybersecurity visibility, response time, and documentation efficiency.

The Chatbot will respond to questions from users of the model (for both public and federal users), reducing staff time spent responding to questions.

Members of the meat industry apply for export certification in Food Safety Inspection Service's (FSIS) Public Health Information System (PHIS) and then FSIS employees review and certify that the exported products meet...

The data is comprised of temperature and turbulence kinetic energy readings collected over time from 16 sonic anemometers (measure wind speed and direction) and 112 thermocouples (measures temperature).