AGRITECH PLATFORM

Precision Harvest Analytics. At the Edge.

Automated size and shape distribution for potatoes and sugar beets. Hardware-accelerated computer vision that syncs seamlessly to the cloud.

< 50msEdge Latency
99.2%Detection Accuracy
24/7Field Operation
Potatoes on a harvester conveyor belt being analyzed by computer vision
SEED 92%PROC 98%SEED 91%
CAM_01 ACTIVE
30 FPS / 1920x1080
LIVE DISTRIBUTIONSTREAMING
15%
<30mmSeed
22%
30–40mmSeed
28%
40–50mmTable
22%
50–60mmTable
13%
>60mmProc
EDGE DEVICE
MACHINES

We work with these harvesters

Root Vision integrates with self-propelled and tractor-pulled harvesters from leading manufacturers, delivering real-time analytics regardless of equipment type.

Agricultural harvesters with AR overlays showing crop type and size distribution
LIVESugar beet28–65mmSTREAMINGPotato35–70mmLIVESugar beet25–60mm
WORKFLOW

From Field to Dashboard

Four stages. Fully automated. No operator intervention required.

01

Install

Ruggedized sensors mount directly on harvester conveyors.

IP67-rated housing
02

Configure

Select crop profile and market parameters.

Potato / Sugar Beet
03

Harvest

Passive monitoring during standard field operations.

Zero downtime
04

Edge-to-Cloud

On-device AI processes video locally; results are transmitted instantly via cellular network.

4G/5G LTE
TECHNICAL DEEP DIVE

Built for the Edge

Edge Computing

Heavy lifting happens on the harvester. Only lightweight data packets are sent, ensuring stability even in low-coverage areas.

< 50msInference
~2 KB/sBandwidth

Live Distribution

REAL-TIME

Real-time grading across all size categories.

15%
<30mm
22%
30–40mm
28%
40–50mm
22%
50–60mm
13%
>60mm
Updated 2s agoLIVE

Size Mapping

Root Vision integrates with yield monitoring partner platforms to map size distribution with yield map.

Yield map visualization
size dist

API First

Raw JSON access and integration with existing Farm Management Information Systems (FMIS).

GET /api/v1/harvest/latest
{
  "session_id": "HRV-2024-0847",
  "crop": "potato",
  "distribution": {
    "seed": 0.22,
    "table": 0.54,
    "processing": 0.24
  },
  "total_count": 14832,
  "avg_diameter_mm": 48.3
}
HARDWARE

Universal Compatibility

Our software runs on any suitable camera, including Android phones. We install our software directly on the device, utilizing its onboard computing power to run the segmentation model in real-time.

Camera setup showing universal compatibility
ONBOARDCPUNeural EngineACCELERATEDGPUReal-time Seg.CONNECTEDBluetoothLow EnergyUPLINKLTE / 5GCloud Sync
USE CASES

Why Root Vision

Different markets, different parameters. One system.

SCENARIO A

The French Fry Processor

Target specific length/width ratios to maximize contract fulfillment. Root Vision identifies potatoes that meet the exact dimensional criteria your processing partners require.

> 2.5:1Target L/W
+12%Yield Gain
The French Fry Processor
SCENARIO B

Seed Potatoes

Identify heavy concentrations of small tubers ideal for replanting. Automated sorting data enables precision seed stock management at scale.

28-45mmTarget Size
99.1%Accuracy
Seed Potatoes
SCENARIO C

Fresh Carrots

Real-time defect and size grading on the harvester. Root Vision distinguishes clean carrots from dirt clumps, broken pieces, and off-spec roots to maximize yield at harvest.

98.2%Defect Detection
+18%Throughput
Fresh Carrots
SCENARIO D

Sugar Beet

Grade beets by size and condition for optimal sugar extraction. Automated detection identifies damaged or undersized roots before they reach the factory, reducing waste and improving sugar yield.

80-120mmTarget Size
97.8%Accuracy
Sugar Beet
INVESTOR / TRUST

Built for the toughest environments.

Operating in dust, rain, and extreme temperatures across European and North American farms.

FAQ

Frequently Asked Questions

Quick answers for growers and processors.

What is Root Vision?
Root Vision is an edge-computing computer vision platform that provides real-time size distribution analytics for potato and sugar beet harvesters. It uses hardware-accelerated AI directly on the harvester to grade crops by size, then syncs data seamlessly to the cloud.
How does Root Vision work?
Ruggedized sensors mount on harvester conveyors and capture video. On-device AI runs a segmentation model in real-time (< 50ms latency). Size distribution data is transmitted via 4G/5G LTE to your farm management system. No operator intervention is required.
What crops does Root Vision support?
Root Vision supports potatoes and sugar beets today, with use cases for French fry processing (length/width ratios), seed potatoes (28–45mm), carrots (defect and size grading), and sugar beets (80–120mm grade for extraction).
What harvesters does Root Vision work with?
Root Vision integrates with self-propelled and tractor-pulled harvesters from leading manufacturers. The software runs on any suitable camera, including Android devices, delivering real-time analytics regardless of equipment type.
How accurate is Root Vision?
Root Vision achieves 99.2% detection accuracy with sub-50ms edge latency. Accuracy varies by use case: seed potatoes 99.1%, French fry processors +12% yield gain, carrots 98.2% defect detection, sugar beets 97.8%.
EARLY ACCESS

Join the Waitlist

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