Field intelligence
DynamoBot adds AI vision and targeted action to tractors, sprayers, and field workflows - helping farms and research teams work with less manual effort, less input waste, and better field data.
Why
Labour is harder to find. Inputs are too expensive to waste. Field data must become more reliable. Farms and research teams need precision that works in daily operations.
Pressure 01 · Labour
In organic sugar beet, manual weeding can require 4–5.5 days of hand work per hectare — making clean fields expensive and difficult to scale during short seasonal windows.
Manual weeding · todayPressure 02 · Input waste
In blanket spraying, more than 80% of applied input may land on areas that do not need treatment — increasing cost and making compliance harder.
Blanket spraying · todayPressure 03 · Field data
3 record gaps
Gap 01
Manual scouting
Walked, written, partial.
Gap 02
Low-resolution observation
Field-average, not plant-level.
Gap 03
Unstructured trial records
Hard to compare and repeat.
Outcome-Based Path
Whether you need less manual weeding, less input waste, faster payback, or better trial data — DynamoBot guides you to the right solution.
WeWeed turns days of hand weeding into a tractor-driven robotic field operation. In sugar beet, one driver can manage crop and weed treatment in about two hours per hectare — helping reduce labour costs by up to 80%.
Today · Manual
With WeWeed
4–5.5 days
~2 hrs/ha
Per hectare in organic sugar beet · up to 80% less labour cost
WeSee turns existing sprayer booms into smart spot-sprayers. AI vision identifies where action is needed — so input is applied only where it creates value, without replacing the sprayer.
Today · Blanket
With WeSee
100% sprayed
Targeted only
Up to 80% less input · spray only where it creates value
Get reliable trial data without building your own AI team. WeSee-Rx supports plant-level detection, annotation, model workflows, monitoring, and structured data export — from camera capture to research-ready datasets.
Tip · toggle the view to see raw camera vs. live AI detection on a real DynamoBot capture.
Drag to set the area you spray per year. WeSee can pay back within a single growing season — depending on input cost, crop, and usage.
How it works
DynamoBot combines AI vision, real-time decision logic, targeted action, and field data. The system works with the tractors, sprayers, and research workflows already used in daily operations.
Step 01
Cameras capture crops, weeds, soil, and field conditions during operation.
Step 02
AI models identify what needs action and where treatment is unnecessary — on-device, in real time.
Step 03
The system enables targeted weeding, spraying, fertilising, or research actions only where needed.
Step 04
Images, detections, treatments, and results are recorded in WeMan as structured field data.
Step 01
Cameras capture crops, weeds, soil, and field conditions during operation.
Step 02
AI models identify what needs action and where treatment is unnecessary — on-device, in real time.
Step 03
The system enables targeted weeding, spraying, fertilising, or research actions only where needed.
Step 04
Images, detections, treatments, and results are recorded in WeMan as structured field data.
The DynamoBot Ecosystem
DynamoBot connects cameras, AI decisions, targeted field action, and WeMan data workflows into solutions for weeding, spraying, and agricultural research.
WeWeedRobotic crop and weed management for organic and high-value crops.
WeSeeSmart spot-sprayer retrofit for existing sprayer booms.
WeSee-RxAI vision and research workflow system for agricultural trials.
Trust & Validation
DynamoBot grew out of precision agriculture research in Bonn and has been developed through field testing, partner projects, and practical feedback from farmers, research institutes, and industry partners.
Field testing
Evaluated in real German field conditions across crops, weeds, soils, and moisture levels.
Developed from years of agricultural robotics and AI research at the University of Bonn and the PhenoRob ecosystem.
DynamoBot technology has been developed and evaluated across changing weed pressure, soil conditions, and moisture levels.
Proof-of-concept projects, industry partners, and letters of intent from farmers help guide DynamoBot toward practical agricultural needs.
WeMan records images, detections, treatments, and results as structured field data. Hosted in Germany. Built for DSGVO-compliant data workflows.
Precision Solutions & Consultation
Some field, research, and partner workflows need more than a standard product. DynamoBot can adapt AI vision, targeted action, and WeMan data workflows to defined agricultural use cases.
Camera, annotation, model, and data workflows for agricultural trials and crop science projects.
AI vision and targeted action modules for machinery partners, dealers, and OEM development projects.
Precision weeding, spraying, monitoring, or trial services that contractors can bring to their customer network.
Defined use cases in special crops, vegetation management, or field monitoring where a standard product needs adaptation.
Path to working with us
Bring us the crop, machine, trial setup, sprayed area, or service model you want to improve. We help define the right product, pilot, or partner path.
We look at the crop, machine, trial setup, sprayed area, or service model you want to improve.
Together we identify whether WeWeed, WeSee, WeSee-Rx, WeMan, or a partner workflow fits best.
We define the field setup, success criteria, data needs, and next technical steps.
Results are recorded as clear field data, so the next decision is based on evidence.
