sub1:assertion {
  sub1:comparatorGroup dcterms:description "Different aggregation units (field, farm, commune, district, region), various differential privacy epsilon values, different k-anonymity thresholds, unprotected field-level data sharing, and traditional survey-based agricultural statistics" .
  sub1:interventionGroup dcterms:description "Privacy-preserving methods for producing regional and national agricultural statistics from farm-level satellite observations, including spatial aggregation schemes, differential privacy mechanisms, k-anonymity adaptations, secure multi-party computation for cross-organization analysis, and synthetic data generation" .
  sub1:outcomeGroup dcterms:description "Statistical accuracy of agricultural indicators (crop area estimates, yield predictions, input use statistics), individual farm re-identification risk, compliance with agricultural data protection regulations (EU CAP, US Farm Bill privacy provisions), utility for agricultural policy decisions and market analysis, and computational/administrative feasibility" .
  sub1:population dcterms:description "Field-level agricultural observations derived from satellite imagery including crop type classification, yield estimates, irrigation practices, fertilizer and pesticide application timing, tillage detection, and livestock density estimates from optical, SAR, and thermal sensors" .
  sub1:privacy-preserving-agricultural-monitoring-from-sa pico:comparatorGroup sub1:comparatorGroup ;
    pico:interventionGroup sub1:interventionGroup ;
    pico:outcomeGroup sub1:outcomeGroup ;
    pico:population sub1:population ;
    dcterms:description "For field-level agricultural observations derived from satellite imagery, how do different privacy-preserving aggregation and anonymization methods compare in producing accurate regional and national statistics while protecting individual farm-level information from re-identification?" ;
    a pico:PICO , sciencelive:EffectivenessResearchQuestions ;
    rdfs:label "Privacy-Preserving Agricultural Monitoring from Satellite Observations: A Scoping Review" .
}