USDA · USDA-172 · record R1470
VegScape/CropCASMA Data Portals
Department of Agriculture · Research, Education and Economics
Overview
- Development stage
- PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
- High-impact designation
- Not high-impactSource: c) Not high-impact
- Impact justification
- Not reported
- Start date
- 2012-01-01 (day precision)Source: 1/1/2012
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Science
- Operational functions
- No function tag matched Derived by keyword rules; see methodology
Problem the AI is intended to solve
Shows crop conditions and soil moisture availability, which serve as inputs to increase the quality of crop modeling
Expected benefits
Supplements weekly Crop Progress and Condition Reports, provides direct input into disaster assessments on agriculture, and provides early disaster anomaly warnings
System outputs
Provides both quantitative and qualitative output products in support of Crop Progress and Condition and Disaster Assessment reporting
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Contract and in-houseSource: c) Developed with both contracting and in-house resources
- Vendor (as reported)
- George Mason University
- 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
- No
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- No
- Demographic features
- k) None of the above
- Training and evaluation data
- NASA Moderate Resolution Imaging Spectroradiometer (MODIS), NASA Soil Moisture Active Passive (SMAP), National Agriculture Statistics Service (NASS) historical crop progress and condition reports.
- Federal Data Catalog
- catalog.data.gov ↗
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