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CropMind

CropMind provides per-plant AI analytics for wine grape growers, turning a 30-minute GoPro or smartphone walk into season-long intelligence on bud counts, disease pressure, and yield forecasts. The platform generates insurance verification PDFs, prescription spray maps, and a 0–100 CropMind Score for risk assessment. It is live in Sonoma and the Okanagan, supporting varieties like Pinot Noir, Cabernet, and Chardonnay.

Traction 8/10
Fredericton, Canada · HQ
Founded 201881K+ followers
  • Agriculture Technology
  • Data & Analytics
  • Artificial Intelligence
  • Software Only
  • Insurance Technology
Updated 3 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Traditional vineyard and orchard management relies on manual scouting and visual estimates, which are labor-intensive, inconsistent, and prone to error. Growers lack reliable per-plant data on bud counts, disease pressure, and yield potential, making it difficult to optimize spray programs, secure insurance, and forecast harvest with confidence.

Solution

CropMind provides per-plant AI analytics that turn a 30-minute GoPro or smartphone walk into a season-long intelligence feed. The platform counts every bud, tracks disease, and forecasts yield across eight phenological growth stages, from dormancy through harvest. Growers upload footage captured at normal pace, and AI processes it overnight to deliver per-plant counts, prescription maps, and insurance verification PDFs. The system covers wine grape varieties including Pinot Noir, Cabernet, and Chardonnay, with additional crops planned. A CropMind Score — a composite 0–100 risk rating per farm block — supports underwriting, loan pricing, and supply chain decisions.

Target Audience

Primary customers are wine grape growers and vineyard managers in British Columbia and California, along with crop insurers, agricultural lenders, equipment OEMs, and winery supply chains seeking per-plant risk intelligence.

Features

  • Per-plant bud count, berry count, and yield forecast refined across growth stages from bud break to harvest
  • Disease AI detection for powdery mildew, botrytis, and downy mildew with prescription spray maps achieving 30–47% spray reduction
  • Insurance verification PDFs with insurable value generated in under a minute and compliance exports for BC Wine Authority and TTB formats
  • 0–100 CropMind Score per block with letter grade A+ to D, covering climate risk, yield stability, disease pressure, carbon practices, and crop quality
  • Carbon MRV reports with per-plant tCO₂e calculations for registry-ready credit filing
  • ISOXML export and John Deere Operations Center (JDOC) push integration for prescription execution
  • White-label REST API platform with CropMind Score endpoint, regional intelligence feeds, and multi-tenant access control
  • Webhook notifications for score updates and completed block scans
This profile is AI-generated and may contain inaccuracies.