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Viktor

CropMerge is a harvest operations platform that helps agricultural teams scan fields, route loads, and predict harvest windows through real-time data integration. The system combines drone-based field imaging with VARI computation, a database of 1,864 elevators, OSRM routing, and Open-Meteo weather data to optimize harvest logistics. Every action in the platform triggers actual state changes, enabling live operational decision-making rather than simulations.

HQ unknown
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Farmers and agricultural operations managers lack integrated tools that combine field-level crop data, logistics routing, and weather forecasting in a single workflow. This fragmentation forces manual coordination between drone imaging, elevator scheduling, and weather monitoring, leading to delayed harvest decisions and inefficient load routing.

Solution

CropMerge provides a harvest operations platform that unifies field scanning, route optimization, and harvest timing into one live system. The platform uses DJI Mini 2 drone imagery to compute VARI (Visible Atmospherically Resistant Index), automatically identifying harvest-ready zones and dispatching loads. Route Pathfinding Hub leverages a database of 1,864 elevators with OSRM routing to calculate the fastest path based on both road time and elevator dwell time. Decision Support integrates Open-Meteo weather forecasts with drone readiness data to help operators prioritize which fields to harvest before rain events. The Harvest Readiness Index standardizes field assessment into a 0–100 score combining VARI, growing degree days, moisture, maturity, and forecast data.

Target Audience

Primary customers are agricultural operations managers, grain farmers, and harvest logistics teams who need integrated field intelligence and route optimization to maximize harvest efficiency.

Features

  • Field Scan Intelligence using DJI Mini 2 RGB imagery with VARI computation for automatic harvest-ready zone detection
  • Route Pathfinding Hub with 1,864-elevator database and OSRM routing that optimizes for road time plus elevator dwell time
  • Decision Support module combining Open-Meteo weather data with drone readiness to time harvest before precipitation
  • Harvest Readiness Index providing a standardized 0–100 score from VARI, GDD, moisture, maturity, and forecast inputs
  • Live operational state changes on every action, ensuring real-time decision-making rather than simulated scenarios
  • Drone demo service that flies customer fields and compares results against Sentinel-2 satellite data
This profile is AI-generated and may contain inaccuracies.