# Digital Cultivation

## The operating system for _commercial indoor farming._

A purpose-built platform that plans, executes, and automates indoor farming operations — combining crop-level intelligence, long-range production planning, real-time execution, and AI-driven optimization.

### Purpose-built for CEA
- Crop & plant-level intelligence
- Single farm to multi-site
- ERP-agnostic integration

## The Problem

### Most indoor farms don't fail on yield — _they fail on operations._

Indoor farms generate massive amounts of data, yet many operations still rely on spreadsheets, disconnected tools, and manual scheduling.

#### Inconsistent SOP execution
Tasks slip, steps get skipped, and quality varies shift-to-shift.

#### Labor inefficiency
Manual scheduling wastes hours and leaves operators guessing what to do next.

#### Unreliable harvest planning
Production misses targets because schedules aren't connected to real constraints.

#### No visibility into unit economics
Without integrated data, true cost-per-pound remains a black box.

Digital Cultivation solves this at the system level.

## The Platform

### The full lifecycle of indoor farming operations

Digital Cultivation manages production planning, crop scheduling, SOPs & tasks, labor coordination, inventory, performance analytics, and automation orchestration. It's not monitoring software — it's the system of action where crop plans become automated execution.

### Core Module

#### Production planning & crop scheduling that actually works

Crop scheduling is one of the hardest problems in commercial indoor farming: maximize plants and throughput while balancing real operational constraints.

Digital Cultivation plans 6+ months ahead while accounting for:

- Mixed crop varieties with unique recipes
- Daily planting/harvest capacity limits
- Operating days and shift configurations
- Nursery/rack capacity and facility constraints
- Holidays, downtime, and excluded dates

As conditions change, plans update without breaking downstream operations.

### Output-driven scheduling

Plan production around what needs to be delivered — not guesswork. Set recurring targets (1,000 heads every Friday) or ad hoc runs (deliver by a specific date). Digital Cultivation back-calculates planting schedules, aligns crop recipes and growth stages, and accounts for labor, space, and automation capacity.

## Crop Intelligence

### Crop recipes & growth programs

Define and manage crop recipes that standardize how each crop is grown — then execute those recipes automatically through AGEYE controls and automation.

- Nursery + main grow durations
- Light schedules with stage-based changes
- Pump & irrigation schedules
- Fertigation and nutrient dosing control
- Environmental targets by growth stage

Reuse proven programs across cycles and facilities — reducing variability and improving consistency at scale.

## Execution Engine

### Planning, execution, and automation — working as one system

Digital Cultivation doesn't stop at planning — it orchestrates execution. Based on the production plan and real-time conditions, it automatically generates daily workflows for:

- Seeding / Planting
- Transplanting
- Harvesting
- Cleaning / Sanitation
- Equipment Operation

Tasks are created automatically, assigned by role/team, timed to operating hours, and adjusted dynamically.

## Operations

### Inventory management built into the plan

Full inventory management for seeds, grow media, nutrients, additives, spare parts, and wear items — all connected to the production schedule.

- Forecasts demand weeks-to-months ahead
- Flags low-stock risks before they impact operations
- Aligns replenishment with production schedule
- Links input usage directly to cost-per-pound analysis

## AI Agent

### CultivAid — AI for real operations

AGEYE's AI agent embedded inside Digital Cultivation. It helps teams detect anomalies earlier, understand root causes, and continuously improve outcomes using your farm's actual data.

### Ask your farm anything

- "Why did yield drop in Zone 3 last cycle?"
- "Which variables correlate with stress events?"
- "What changed between Cycle 214 and 215?"

- Anomaly detection
- Root cause analysis
- Growth rate tracking
- Nutrient optimization
- Yield prediction
- Environmental alerts

## Architecture

### Closed-loop execution

Plans drive tasks. Tasks trigger automation. Sensors validate conditions. Outcomes feed back into future plans.

1. **Plans drive tasks**  
   Production schedules automatically generate daily work orders.

2. **Tasks trigger automation**  
   Workflow execution activates irrigation, lighting, and climate systems.

3. **Sensors validate**  
   Real-time sensor data confirms conditions match targets.

4. **Outcomes feed back**  
   Results improve future plans, recipes, and scheduling accuracy.

## Technology Platform

### Scalable, modular, built for data

Our platform is built on a services-first architecture designed to handle the massive real-time data generated by every farm.

It combines edge processing for AI-driven decisions onsite with a cloud-native backend using event-driven design and modular microservices — built to scale across thousands of deployments.

### Modular Microservices

Each capability runs as an independent service — deploy, scale, and update without downtime.

### Edge + Cloud

AI inference runs at the edge for real-time decisions. Cloud handles orchestration, analytics, and fleet management.

### Event-Driven

Real-time event streaming ensures every sensor reading, task update, and anomaly triggers immediate response.

### API-First

Metered APIs enable integrations with third-party platforms, labs, analytics tools, and ERP systems.

## Built For

### Designed for every role in the operation

#### Operators & Head Growers
- Consistent SOP execution across shifts
- Fewer surprises, fewer missed steps
- Faster issue detection and response

#### GMs & Owners
- Real unit economics and cost-per-pound visibility
- Better labor efficiency and utilization
- Scalable, repeatable operations

#### Multi-Site Teams
- Standardization across facilities
- Cross-site performance comparisons
- Systematic, data-driven improvements

## Deployment

### Cloud-native. API-first. Scale-ready.

Digital Cultivation is a cloud-based SaaS platform accessible from any laptop or tablet — deployable either as part of a HYVE turnkey system or as a standalone platform for existing farms.

Through secure APIs, it pulls data from existing sensors, equipment, and control systems — including third-party infrastructure — and pushes data to BI/analytics, accounting, or ERP platforms.

As operations scale, Digital Cultivation expands seamlessly to support additional facilities, crops, automation, and integrations without disruption.

### Deploy with HYVE

Pre-integrated with AGEYE turnkey systems — sensors, controls, and automation connected out of the box.

### Standalone SaaS

Run on any existing farm with third-party sensors and equipment via API integrations.

### ERP Integration

Connects to your finance, HR, and analytics tools — no forced re-platforming.

## See how Digital Cultivation runs a real indoor farm.

### Get in Touch

Tell us about your project and we'll get back to you within one business day.
