Units
1. Introduction to Artificial Intelligence and Verification Discipline in Agricultural Engineering 2. Precision Agriculture and Structuring of Agricultural Data 3. Plant Health Monitoring with Satellite and Drone: NDVI and Vegetation Indices 4. Soil Analysis Interpretation and Fertilization Optimization 5. Irrigation Optimization and Water Management 6. Disease and Pest Diagnosis: Image Analysis and Decision 7. Agricultural Decision Support with Weather and Climate Data 8. Yield Estimation and Agricultural Modeling 9. Agricultural Data Analysis with Python 10. Traceability, Agricultural Registration and Supply Chain 11. Ethics, Privacy, Boundaries and End-to-End Integration
Unit 10 / 11

Traceability, Agricultural Registration and Supply Chain

Gains:

  • Ability to explain field-to-fork traceability, lot registration and good agriculture/organic certification requirements
  • Ability to transform production records, pesticide/fertilizer application book and MRL compliance into organized documents with AI
  • Ability to scan inconsistencies in traceability records with AI and produce audit-ready, verified records
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