Floriculture AI Copilot & Harvest Yield Forecasting

1. Overview & Business Value#

This comprehensive operational guide details the architecture, business workflows, configuration parameters, and execution steps for Floriculture AI Copilot & Harvest Yield Forecasting within SmartERP.

Leverage embedded AI to predict greenhouse flower harvest flushes, optimize cold-room energy consumption, and forecast auction prices.

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2. Prerequisites & Security Access Groups#

• Required Modules: smarterp_commodity_export, smarterp_agri_traceability
• Security Groups:
  • Cold Chain & Packhouse Officer (Technical ID: smarterp_export.group_export_user)
  • Floriculture Quality Inspector (Technical ID: smarterp_export.group_export_qa)
  • Floriculture Export Manager (Technical ID: smarterp_export.group_export_manager)
• Master Data Dependencies: Greenhouse greenhouse blocks, rose stem varieties, cold storage temperature telemetry (2°C–4°C), Ethiopian Airlines Bole Cargo space bookings, and European auction buyers.

3. Step-by-Step Configuration & Execution#

Step 1: Navigating to the Module Interface#

1. Log into your SmartERP instance at https://smarterp.et/odoo.
2. Open the main App Switcher (grid icon in the top-left corner).
3. Select the Floriculture Export app icon.
4. From the top navigation bar, open Floriculture Export → Greenhouse → Harvest / Cold Chain / Packhouse / Air Waybills.

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Step 2: Creating and Parameterizing Records#

1. Click the New button in the top-left control panel.
2. Complete the mandatory fields in the record form:
   • Greenhouse Harvest Batch (Mandatory): Block origin, stem length (cm), and cut date/time
   • Rose Variety & Head Size (Mandatory): Commercial cultivar (Rhodos, Red Naomi, Athena) and bud profile
   • Pre-Cooling Verification (Mandatory): Confirmed forced-air cooling record achieving 2°C–4°C core temperature
   • Bole Cargo e-AWB Number (Mandatory): Ethiopian Airlines booked air waybill identifier
3. Configure optional operational parameters and localized tags as required:
   • Cold Chain Logger ID (Optional): Digital temperature datalogger serial number placed in pallet
   • Auction Consignment Code (Optional): Royal FloraHolland auction lot reference
   • MoA Phytosanitary Seal Number (Optional): Official government export inspection security tag
4. Click the Save icon in the control bar to commit the record.

{screenshot:floriculture-ai-copilot-record-creation-form}

Step 3: Validating and Processing Transactions#

• State Transitions: Execute operational state progression (Harvested → Pre-Cooled (2°C) → Packhouse Sorted → Cold Truck Transit → Bole Airport Loaded → Cleared).
• Ledger & System Impact: Direct greenhouse labor and packaging costs absorb into crop inventory; e-AWB air freight dispatch recognizes export revenue in foreign currency.
• Audit Verification: Automated recording of author ID, timestamp, and immutable revision history.

{screenshot:floriculture-ai-copilot-transaction-processing-state}

Predictive Artificial Intelligence in Flower Farming#

The SmartERP Floriculture AI Copilot combines greenhouse environmental data (solar radiation, cumulative growing degree-days, humidity) with historical yield trends to optimize harvest operations.

Harvest Flush Prediction Model#

• Peak cut-flower demand centers around major international calendar events: Valentine's Day (Feb 14) and Mother's Day (May).
• The AI Copilot models plant pruning dates and ambient solar radiation to predict the exact peak harvest flush:
  • "Greenhouse Block 04 (Rhodos) will reach peak cut maturity between February 4 and February 8. Forecasted yield: 85,000 export-grade stems."
• Enables precise advance booking of charter cargo freighter space with Ethiopian Airlines.

Cold Room Energy Optimization#

The AI Copilot continuously optimizes refrigeration chiller cycles against time-of-use electrical tariffs, precooling rooms during off-peak hours while maintaining biological 2°C–4°C stability, reducing facility energy expenditures by up to 18%.

4. Advanced Configuration Points#

• Automated Actions & Scheduled Tasks (Crons):
  • Cold Chain: Alert temperature breach above 4°C (smarterp_export.ir_cron_temp_monitor): Runs every 15 minutes checking IoT temperature telemetry
  • Air Cargo: Track Bole cargo flight departure (smarterp_export.ir_cron_flight_status): Runs hourly checking Ethiopian Airlines cargo flight tracking
• Custom Print Templates & Reports:
  • Cold Chain Temperature Compliance Certificate
  • MoA Phytosanitary Export Inspection Dossier
  • Bole Cargo Air Waybill (e-AWB) & Pallet Manifest
  • Consignment Net Realization & Auction Settlement Summary
• Multi-Company Rules: Record-level security isolation under Company 1 (Ashewa Technology Solutions S.C.), preventing cross-company ledger leakage across parent and subsidiary legal entities.

5. Comprehensive Troubleshooting Matrix#