Harvest planning and yield prediction

Step-by-Step Breakdown

Detailed explanation of each automated stage in the workflow.

1. 1

   Trigger

   Detect pre-harvest window

   The workflow triggers when crop growth models indicate fields are entering the 30-day pre-harvest monitoring period. This initiates comprehensive yield prediction analysis.

   Climate FieldViewJohn Deere Operations Center
2. 2

   Action

   Collect field sensor data

   Gather real-time data from soil moisture sensors, weather stations, satellite imagery, and field scouts. This data provides current crop health and growth stage information.

   Climate FieldViewTrimble Ag SoftwareJohn Deere Operations Center
3. 3

   Action

   Calculate yield predictions

   Process historical yield data, current season growing conditions, and crop monitoring data through AI models. Generate field-specific yield estimates with confidence intervals.

   Granular (Corteva)Climate FieldView
4. 4

   Decision

   Evaluate harvest readiness

   Compare predicted yields against target thresholds and assess weather forecast risks. Determine if harvest should proceed on schedule, be accelerated, or delayed.

   Climate FieldViewGranular (Corteva)
5. 5

   Action

   Generate harvest schedule

   Create optimized harvest timeline considering equipment availability, labor capacity, storage facilities, and market pricing. Prioritize fields by yield potential and timing constraints.

   John Deere Operations CenterFarmLogs
6. 6

   Action

   Coordinate logistics resources

   Schedule harvesting equipment, trucking capacity, and storage allocation based on predicted volumes and timing. Send automated notifications to contractors and handlers.

   FarmLogsJohn Deere Operations Center
7. 7

   Output

   Deploy harvest execution plan

   Distribute finalized harvest schedules to field crews, equipment operators, and logistics coordinators. Activate real-time tracking and monitoring systems.

   John Deere Operations CenterFarmLogs

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