Complete Orchard Operations

Extend traceability upstream from the packing house into the orchard. Track trees, crews, treatments, and scouting observations from planting through harvest.

Orchard-to-Consumer Traceability

Complete traceability doesn't start at the receiving dock—it starts in the orchard. SmartBin extends digital record-keeping upstream to capture the full story of every fruit: which block it came from, who picked it, what treatments were applied, and what growing conditions it experienced.

This upstream data enables powerful analytics: correlate growing practices with quality outcomes, track crew performance across operations, maintain complete treatment records for buyer requirements, and feed increasingly accurate yield predictions.

Asset Management

Tree Lifecycle Management

Every tree maintains a complete digital record from planting through productive years to eventual removal. Enable long-term orchard analysis and variety performance comparison.

Tree Record Contents:

  • Variety and rootstock identification
  • Planting date and GPS location
  • Training system and structure changes
  • Pruning history and intensity
  • All treatment applications
  • Annual productivity metrics
  • Quality correlations by year
Tree record interface showing complete history timeline

Long-Term Analysis Enabled

Variety Comparison

Compare productivity, quality, and profitability across varieties and rootstock combinations over multiple seasons.

Block Performance

Identify high and low performing blocks for targeted improvement or replanting decisions.

Practice Correlation

Correlate pruning practices, treatment timing, and other inputs with quality and yield outcomes.

Workforce

Crew Management

Document who performed what work, when, and where across all orchard operations. Enable performance analysis correlated with harvest outcomes and identify training opportunities.

Operations Tracked:

  • Dormant and summer pruning
  • Tree training and tying
  • Thinning (chemical and hand)
  • Treatment applications
  • Irrigation management
  • Harvest picking

Data Captured:

  • Worker and crew leader identification
  • Date, time, and duration
  • GPS location and block assignment
  • Productivity metrics (bins/hour, trees/day)
Crew management dashboard showing worker productivity

Treatment & Application Tracking

Complete spray records that follow fruit through the supply chain, satisfying buyer requirements and supporting organic certification when applicable.

Pesticide Applications

  • Product name and EPA registration
  • Application rate and concentration
  • Target pest or disease
  • Pre-harvest interval (PHI) tracking
  • Restricted entry interval (REI) alerts

Fertilizer Applications

  • Product and nutrient analysis
  • Application rate and method
  • Foliar vs. ground application
  • Fertigation integration
  • Soil test correlation

Environmental Conditions

Capture weather conditions at application time: temperature, humidity, wind speed, and direction. Correlate with application efficacy.

Equipment Records

Track application equipment, calibration dates, nozzle configurations, and gallons per acre. Maintain equipment service history.

Applicator Certification

Document applicator licenses, certification numbers, and training records. Ensure compliance with state and federal requirements.

Monitoring

Field Scouting Integration

GPS-tagged observations with photos and standardized assessment forms. Build historical records that feed increasingly accurate predictions.

Observation Types:

  • Insect monitoring: Trap counts, pest identification, population trends
  • Disease observation: Symptoms, severity ratings, spread patterns
  • Fruit development: Size progression, color development, drop assessment
  • Quality projections: Sample testing, maturity assessment
  • Irrigation status: Soil moisture, tree stress indicators

Features:

  • Photo documentation with GPS tagging
  • Standardized assessment forms
  • Offline capability for field use
  • Historical comparison views
Mobile scouting app interface with GPS-tagged observation

Harvest Planning

Use accumulated data to optimize picking schedules and coordinate with cold storage capacity.

Maturity-Based Scheduling

Combine scouting observations, quality testing, and historical data to determine optimal harvest windows:

  • DA meter trends by block
  • Starch progression monitoring
  • Weather forecast integration
  • Variety-specific timing recommendations

Resource Coordination

Balance harvest timing with available resources and downstream capacity:

  • Crew availability scheduling
  • Cold storage room capacity
  • Transport and equipment allocation
  • Receiving dock throughput

Yield Prediction

Machine learning models use historical scouting data, treatment records, weather patterns, and previous harvest outcomes to generate increasingly accurate yield predictions:

Block

Per-block estimates

Variety

By variety totals

Grade

Quality distribution

Timing

Harvest windows

Connectivity

Complete Upstream-Downstream Integration

Orchard data connects seamlessly with downstream receiving and storage data, enabling analysis of how growing conditions affect final fruit quality.

Data Flow:

  • Block and tree data flows to bin records at harvest
  • Treatment history available for buyer inquiries
  • Quality outcomes flow back to orchard records
  • Grower accountability with complete chain

Analysis Enabled:

  • Correlate treatment timing with quality outcomes
  • Compare crew performance to pack-out results
  • Identify blocks with storage disorder risk
  • Optimize practices based on proven results
Data flow diagram showing orchard to pack-out integration

Extend Traceability to the Orchard

Schedule a demonstration to see how SmartBin's orchard operations module completes your traceability picture.