USDA · USDA-161 · record R1459

Feral Ungulate Mitigation

Department of Agriculture · Natural Resources and Environment

Overview

Development stage: In development or acquisitionSource: a) Pre-deployment – The use case is in a development or acquisition status.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: Not reported
Withheld from public reporting: Not reported

Mission

Topic area: Science
Operational functions: Image and video analysis Derived by keyword rules; see methodology

Problem the AI is intended to solve

Feral ungulates (animals with hooves) are not native to Hawaii, cause agricultural and forest damage, and can also transmit disease. Camera traps help to manage feral ungulate populations moving into fenced areas, but human image processing is time consuming and inefficient. The Hawaii AI-supported feral ungulate computer vision program was developed to process camera trap data quickly, provide managers with statistics on the feral ungulate populations, and provide real time surveillance to management operations.

Expected benefits

Reduce cost and human resources needed to process vast amounts of camera trap images. The program will help conservation managers strategically prioritize mitgation and control efforts.

System outputs

The output is classification of presence or absence of target animals, time of target animal activity, and tracking the abundance of target animal over time.

Technology

AI classification: Computer visionSource: Computer Vision: AI that processes and interprets visual data (e.g., images and videos).
System name(s): Not reported
Custom-developed code: Not reported
Public source code: Not reported

Sourcing

How it was built: Not reported
Vendor (as reported): Not reported
Vendors (standardized): None on the standard list

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Not reported
Privacy Impact Assessment: Not reported
Authorization to Operate: Not reported
Demographic features: Not reported
Training and evaluation data: Not reported
Federal Data Catalog: Not reported

Governance

0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported