Agriculture

Every treatment, every machine and every hectare in one field record

Treatment records fill in from the tractor and the phone, costs are tracked per hectare and per crop. Before an inspection you print the treatment log from the system, not from the agronomist's notebook.

Does this sound like your farm?

Spray records written up in the evening from memory

The sprayer operator finishes at ten, the agronomist fills in the record on Saturday. Dose, growth stage and weather conditions are entered the way someone remembers them.

Cost per hectare known only after year-end

Invoices for seed, fertiliser and crop protection sit in accounting, fuel on fuel cards, machine hours in the mechanic's head. Which field made money comes out in February, when next season's plan is already set.

Machines send data nobody reads

The tractors have ISOBUS and telemetry, Operations Center shows the pass tracks. The data sits in three manufacturer portals, and the work plan is still written on paper.

Eight parts that make up the system

Built around your crops, machines and structure: a single farm or a producer group with a dozen of them. We agree the scope and the order together.

Field map with field records

Parcels from the paying-agency application on one map, with crop, variety, soil class and treatment history. Click a field and you see everything that happened on it since sowing.

Treatment and fertilisation records

A treatment logged from the operator's phone in the field: product, dose, BBCH stage, conditions. Pre-harvest intervals and nitrogen limits are checked at entry, not at inspection.

Machines and telemetry

Pass tracks, fuel and engine hours from Operations Center, CLAAS Telematics and FendtONE in one place. Service prompted from engine hours, not from memory.

Work plan and operator jobs

The agronomist plans the week's treatments, the operator gets a job on the phone with field, product and dose. A change in the weather means moving a job, not a round of calls.

Input and seed store

Stock of crop protection, fertiliser and seed comes down with every logged treatment. You see what is left for the second application before the sprayer leaves the yard.

Cost per hectare and per crop

Seed, fertiliser, crop protection, fuel, machine work and contractors assigned to the field. Margin per hectare visible after harvest, not after year-end.

Harvest and yield per field

Weights from the combine or at the silo assigned to parcel and variety. Varieties and fields from the same season compared in one table.

Reports for the paying agency and the adviser

Treatment log, nitrogen balance, fertilisation plan and attachments for the area payment application generated from the records. The inspector gets a printout from the system, not a notebook.

What AI does on the farm

Three years ago features like these needed a data science team. Today language models read emails, documents and photos, and we build them into the system we make for you. Below is what makes sense in this solution. A person approves, AI prepares.

Product labels and input invoices read

A photo of a product label or a distributor's invoice becomes a stock line: name, active substance, quantity, batch number. The agronomist confirms instead of re-keying.

Example a photo of an invoice for 12 cans of fungicide → a stock receipt with batch number and expiry date

A warning before the treatment is logged

The system compares the planned treatment with the product label, the field's history and the weather: applications per season, pre-harvest interval, wind. The operator sees the warning before leaving the yard.

Example a spray planned 3 days before harvest → a warning about the 14-day pre-harvest interval, the job waits for the agronomist's decision

Ask the farm

The agronomist or the owner asks in plain language, the answer comes from the records and the costs, not from memory.

Example "how much nitrogen went on the wheat at Górka this season?" → doses, dates and total kg N per hectare

A purchase plan from past seasons

From previous seasons' treatments and the cropping plan the model prepares a list of products and fertilisers with quantities, for review before talks with distributors.

Example next year's cropping plan → a list of products and fertilisers with quantities and cost from the latest invoices

Effects you see in the first month

  • The treatment record is complete on the day of the treatment, because the operator logs it from the field
  • You see cost per hectare after harvest, because invoices, fuel and engine hours land on the field
  • Before an inspection you print the treatment log and nitrogen balance from the system instead of assembling them from a notebook
  • A new agronomist knows what happened on a field over five seasons without asking their predecessor
What it connects to

Works with what you already have

We do not replace machines or telemetry. We plug into the manufacturer portals, the paying agency's parcel maps and the accounting system that already holds the invoices.

John Deere Operations CenterCLAAS TelematicsFendtONEISOBUSeWniosekPlusARiMR parcel mapsweather stationsSentinel-2 satellite imageryComarch ERPenova365Symfoniafuel cardsweighbridgesExcel and CSV import

From analysis to the first season in the system

We work in stages and around the farming calendar. The first version goes live before the season, and nothing changes during harvest.

01

Analysis and farm map

We sit down with the agronomist and the machinery manager. We write down fields, machines and their telemetry, how records are kept today and where costs come from.
2–3 weeks
02

First working version

Field map, treatment records from the phone and the input store for one farm or one group of fields. The agronomist works in the system alongside the notebook.
8–10 weeks
03

Telemetry, costs and reports

Machine portals, fuel cards and accounting connected. Cost per hectare calculated from data already in the system.
4–6 weeks
04

Development by your queue

More farms in the group, a harvest module, new reports. You set the order, we ship every two weeks, with a break for harvest.
ongoing

Does your company run on Excel, emails and a system from years ago? We will build the solution that puts it in order, with AI inside from the start.

You have the diagnosis, we build the solution. Web applications, B2B portals and automations for companies without a large IT department. Today a system can read emails and documents, suggest decisions and answer customers on its own, so we build that in from the first version, not as an add-on a year later.

We agree scope, price and dates upfront, show progress every week, and the code and data stay yours.

  • scope, price and dates upfront
  • progress every week
  • your code and data

Common questions

Does it work in the field without coverage?
The operator app works offline. The treatment is saved on the phone and sent when coverage returns. The agronomist sees when the data arrived.
Do we need to replace machines or telemetry?
No. Operations Center, CLAAS Telematics and FendtONE expose data through APIs. Machines without telemetry are handled through jobs confirmed from the operator's phone.
What about records from previous years?
Notebooks, spreadsheets and exports from your current program go into the field records. Treatment history stays with the parcel, so rotation counts from day one.
Who owns the code and the data?
You do. The code goes into your repository, the data sits in your database. You can change vendors at any point.
What does maintenance cost after the rollout?
Hosting and monitoring are a fixed monthly amount that depends on scale, with no per-hectare or per-user fees. Development is billed by the queue you set.

Let's talk about your farm

You describe how you keep records and count costs today, we tell you what can go live before the season and how long it takes.

Write to us
or email hello@udb.pl hello@udb.pl