Harvest Forecasting

One unified forecast for all regions with advanced modeling and real-time updates to optimize harvest timing and synchronize with demand.

Key Features

  • One unified forecast for all regions
  • Automatic updates on hourly GDD, PAR, ETc
  • Modeling based on 3-5 years of your historical planting records
  • Real-time updates based on easy to use scouting app
  • Sales vs Harvest forecast overview
  • Detect over/undersupply early

Advanced Modeling

Holo's harvest forecasting uses multiple data sources and advanced modeling techniques to provide accurate predictions:

  • GDD (Growing Degree Days): Tracks accumulated heat units to predict crop development stages
  • PAR (Photosynthetically Active Radiation): Monitors light availability for optimal growth prediction
  • ETc (Evapotranspiration Crop Coefficient): Models water use and crop stress to refine timing predictions
  • Historical Data Analysis: Leverages 3-5 years of your planting records for personalized accuracy
  • Real-time Scouting Integration: Updates forecasts based on field observations from your mobile app

Unified Regional Forecasting

Manage all your regions from a single, unified forecast that automatically updates throughout the growing season.

  • Centralized forecasting across all regions and contract growers
  • Hourly automatic updates based on weather and crop data
  • Consistent methodology and accuracy across all locations
  • Easy comparison and coordination between regions

Demand Synchronization

Align harvest timing with sales demand to maximize revenue and minimize waste.

  • Sales vs Harvest forecast overview for supply-demand planning
  • Early detection of over/undersupply situations
  • Proactive adjustments to planting and harvest schedules
  • Integration with sales platform for complete visibility

Benefits

By using Holo's harvest forecasting system, growers can improve harvest timing accuracy, reduce waste through better demand synchronization, optimize resource allocation, make data-driven decisions based on historical patterns and real-time conditions, and coordinate operations more effectively across multiple regions.