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Superviseur

Advanced Agriculture Supervisor

Manage crop cycles, harvests, weather and ML predictions across all 28 plots.

Access

Sidebar → Agriculture

Or directly via: /agriculture

Agriculture Home

Route: /agriculture

The agriculture dashboard displays an overview:

  • Active plots and their status
  • Ongoing crop cycles
  • Latest harvests
  • Weather alerts

Plot Management

Route: /agriculture/parcels

The plantation has 28 plots (A to Z) across 80 planted hectares (200 ha total land area):

ActionRouteDescription
List/agriculture/parcelsAll plots
Overview/agriculture/parcels/overviewMap and summary
Create/agriculture/parcels/createAdd a plot
Detail/agriculture/parcels/:idFull plot record

Each plot shows:

  • Area and location
  • Current crop (palm, papaya, etc.)
  • Recent operations
  • Historical yield

Crop Cycles

Route: /agriculture/crop-cycles

Track complete crop cycles:

ActionRouteDescription
List/agriculture/crop-cyclesAll cycles
Dashboard/agriculture/crop-cycles/dashboardVisual summary
Create/agriculture/crop-cycles/createNew cycle
Detail/agriculture/crop-cycles/:idCycle tracking

A crop cycle includes:

  • Planting: Date, variety, plot
  • Maintenance: Weeding, fertilisation, treatment
  • Harvest: Estimated date, expected yield

Harvests

Route: /agriculture/harvests

ActionRouteDescription
List/agriculture/harvestsHarvest history
Analytics/agriculture/harvests/analyticsTrends and comparisons
Create/agriculture/harvests/createRecord a harvest

Weather

Route: /agriculture/weather

View weather data:

  • Forecasts: Temperature and rainfall over 7 days
  • History: Monthly and seasonal data
  • Alerts: Drought, heavy rain, wind
Important

Check the weather before planning crop protection treatments — effectiveness depends heavily on weather conditions.

Artificial Intelligence

ML Operations Dashboard

Route: /agriculture/operations-dashboard

ML predictions to optimise field operations.

Harvest Predictions

Route: /agriculture/harvest-predictions

The system predicts yields per plot based on:

  • Historical weather data
  • Plant age
  • Treatment history
  • Soil quality

Input Optimisation

Route: /agriculture/input-optimization

ML recommendations for optimal use of fertilisers and crop protection products.

Equipment Assignment

Route: /agriculture/equipment-assignment

Suggestions for allocating machinery and vehicles based on field needs.

Tip

ML predictions improve with data volume. Make sure daily work is entered every day to refine the models.