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AI for a farm: what a model does with an application in the State Agrarian Register, how to keep a field log by voice and why the application rate of a product comes only from the label

A farmer spends hours on three kinds of paperwork: reading the terms of a support programme and collecting documents, writing down what was done where during the day, and making sense of a soil test report or a supplier's letter. A model takes over part of this time. But there is one task it must not be given even partly: how much product to apply per hectare.

Updated 2026-10-26 8 min Figures carry a check date
Illustration generated with AI (OpenAI gpt-image-2.5-flare) and labelled with IPTC metadata.

Five farm tasks where a model removes routine

  1. Programme terms → a checklist. The model turns an announcement in the State Agrarian Register (DAR) and the text of the government procedure into a list: who may apply, by what date, which documents, what limits the amount.
  2. Calculating the support amount. A percentage of costs, a per-hectare cap, a higher rate for frontline communities: the model calculates on your numbers and shows which limit applies.
  3. A field work log from voice notes. A tractor driver or agronomist records a note in the field; the model turns it into a table row: date, field, crop, operation, machinery, area.
  4. Reading agronomic documents. A soil test report, a seed certificate, a supplier's letter: the model explains terms and pulls figures into a table.
  5. Letters and reports. A reply to a grain buyer, an explanation for an application, a cover letter to a bank: a draft that the head of the farm signs.

A sixth task, choosing a product and its application rate, is deliberately left out. Why is covered in the section on products.

Support applications: what the model does and what stays with you

Most state programmes for farmers take applications through the State Agrarian Register. An individual, a sole trader or a legal entity can register with a qualified electronic signature or BankID; DAR pulls data on plots and animals from the State Land Cadastre, the Register of Property Rights, the business register and the animal register. Funding areas are listed in the Procedure for using funds for financial support of agricultural producers (Resolution No. 77, version of 19.09.2026): livestock and processing, development of family farms, compensation for domestic machinery, cheaper loans, insurance, irrigation, organic production, a subsidy per hectare of cultivated land and others.

The terms of each programme live in two places: the DAR announcement and a separate Cabinet of Ministers procedure. The announcement is short, the procedure long. That junction is exactly where a model helps. Give it both texts and ask for a table: condition, the document that proves it, where to get that document. Three examples from DAR announcements in 2026 show which conditions to look for:

Programme (DAR announcement)AmountConditions that are easy to missStatus on 26.10.2026
Irrigation supportup to 50% of costs excl. VAT, no more than UAH 30,022/ha; in communities on the Ministry of Development list up to 80%, no more than UAH 48,036/hasystem commissioned between 01.11.2025 and 31.10.2026; the cost of sprinkler machines is excludedapplications until 31 October inclusive
Interest-free loan for farmsup to UAH 1 million for up to 5 yearsno tax debt, bankruptcy or sanctions; security for repayment requiredintake closed on 2 July
Grants for orchards and greenhousesorchard 1–25 ha — up to UAH 10 million; greenhouse 0.4–2.4 ha — up to UAH 7 millionownership or use of the land for at least 7 years; application via Diia and registration in DARintake paused from 16 October, resumption planned for Q1 2027

A model does not know whether a programme is open today: its knowledge ends at its training date, and programmes open and close every month. So the request must contain the fresh announcement text, not a question like 'what grants are there for farmers'. Submitting the application, signing it with a qualified signature and checking that DAR pulled your plots correctly is your job: if the area or animals in the DAR account are wrong, they are corrected in the source register, not in the application. How to compare a grant with a loan on the full cost of its conditions is covered in Grant or a 5-7-9 loan.

Calculation: what limits the amount — the percentage or the cap

Irrigation compensation has two limits at once: a percentage of costs and a cap per hectare. You get the smaller of the two. A common mistake is to count only the percentage and budget on it.

A hypothetical example: a farm built an irrigation system for UAH 1.8 million excluding VAT (sprinkler machines excluded). Half the costs is UAH 900,000. The cap is UAH 30,022 per hectare of cultivated land. Which area counts towards the cap is set by Procedure No. 1070 as amended by Resolution No. 444 of 03.04.2026; the DAR announcement does not spell it out, so check the Procedure text before applying.

Irrigation compensation for costs of UAH 1.8 million excl. VAT, 50% rate
20 haUAH 600,440
30 haUAH 900,000
40 haUAH 900,000
60 haUAH 900,000

Amount = the smaller of: 50% × UAH 1,800,000 or UAH 30,022 × area. Costs and area are hypothetical; rates from the DAR announcement of 12.10.2026.

The boundary between the two regimes is 1,800,000 × 0.5 ÷ 30,022 ≈ 30 ha. On a smaller area the cap decides: on 20 ha the farm gets UAH 600,440, not UAH 900,000, and the UAH 299,560 difference must be planned from its own money in advance. For communities with the 80% rate the boundary is almost the same: 1,800,000 × 0.8 ÷ 48,036 ≈ 30 ha, and on 20 ha the amount is UAH 960,720 instead of UAH 1.44 million.

A model does this calculation in a minute if you give it the formula from the announcement and your numbers. Without the formula it may take a rate from memory, and DAR will start indexing the cap to inflation from 1 January 2027. So check every calculation against the announcement for the year you apply. How to put expected compensation into a payment plan when the money arrives months after the spending is covered in the article on a payment calendar.

A field work log by voice

Records of field work are not only for the agronomist. The Law on Pesticides and Agrochemicals (version of 15.11.2024), Article 14, obliges businesses to keep records of the stock and use of pesticides and agrochemicals and to report to the state accounting bodies. The scope of that information is set by the Cabinet of Ministers, so check your log fields against the current accounting procedure; below is a practical minimum.

The slowest part of a log is not the writing but sitting down to write in the evening. A voice note in the field takes a minute: 'Twenty-sixth of October, the field by the pond, winter wheat, top dressing, tractor with spreader, forty-two hectares, fertiliser from the supplier's batch'. The model transcribes the note and splits it into a table. But some fields it must not fill in, even if it could guess:

Field log fields: where to take them from
Date, field, crop, operation, machinery✓ spoken by the worker≈ only splits into columns
Area treated✓ spoken or from the machine's navigator✗ not calculated from memory of the field
Product name and batch number✓ from the container or invoice✗ never substitutes a 'similar' product
Product actually used✓ how much was filled and how much is left✗ does not multiply a 'rate' by area
Application rate, number of treatments, pre-harvest interval≈ only if copied from the label✗ never

✓ — a reliable source; ≈ — with a condition; ✗ — the model does not fill this field. Rate, number of treatments and intervals are part of the use regulation on the label (Article 10 of the Law on Pesticides and Agrochemicals).

The model's instruction needs one rule: if a field is not in the note, leave it empty and mark it 'to confirm'. Otherwise the model will gladly 'fill in' the field area from last week's note or a product name it heard a week ago, and the log becomes neat but untrue.

Products: the rate comes only from the label and the register

Article 10 of the Law on Pesticides and Agrochemicals requires every unit of a pesticide or agrochemical to be used only with a label. Among other things, the label must show the registration number in the State Register, the registration expiry date, how to prepare the working solution and the use regulation: crop, target, application rate, method and timing, restrictions and bans, the maximum number of treatments, the interval between the last treatment and harvest, and the re-entry interval for people. Article 4 bans the use of pesticides and agrochemicals before state registration, except in cases named in the law.

The conclusion has no exceptions: the model does not answer 'how much per hectare'. It can confuse products with the same active substance but different concentration, mix up millilitres and litres, take a rate from another country or another crop. A mistake here costs a harvest, people's health and an inspection. What the model can do: read a photo of the label and copy the use regulation word for word into a card for the log, with a 'checked against label: yes/no' mark that a person sets. The agronomist checks the registration number from the label against the State Register of Pesticides and Agrochemicals.

One more line. Under Article 11 of the same law, people who organise the storage or use of pesticides or work with them must hold a certificate of the right to work with pesticides; the certificate and the training certificate are valid for two years. A model can remind you of the expiry date if you put it in a table, but it does not replace the certificate.

Should this farm task go to a model
  1. A question about the rate, number of treatments or timing of a product?That is the label's regulation, not advice. Yes → the label and the State Register only; the model may copy the label word for word
  2. Need to make sense of a support programme's terms?The model does not know what is open today. Yes → give it the fresh DAR announcement and the procedure text, ask for a checklist and a calculation
  3. A record of field work?Voice is the quickest way not to forget. Yes → the model splits the note into a table and marks empty fields 'to confirm'
  4. A document you sign with a qualified signature or take to a bank?The signatory is responsible. Yes → the model drafts, the head of the farm checks the figures
  5. Does the request contain workers' passport details or account numbers?No task needs them. Yes → remove them from the request

What the model costs per month

Volumes are hypothetical: three workers make five one-minute voice notes a day for 26 working days (390 notes, 390 minutes); the model splits each note into a table (600 input tokens, 200 output); two support programmes a month (30,000 and 3,000 tokens) and four agronomic documents (8,000 and 1,500). Prices from the OpenAI API pricing page on 26 October 2026 (standard processing, per million tokens): gpt-6-luna — $0.10 input and $0.50 output, gpt-6.1-sol — $2 and $10, gpt-6-astra — $10 and $50; gpt-transcribe voice transcription — $0.0045 per minute. The National Bank rate on 26 October 2026 is UAH 45.2021 per dollar.

Text modelOne log entryOne support programmeOne agronomic documentMonth including transcription
gpt-6-lunaUAH 0.007UAH 0.20UAH 0.07$1.83 (UAH 83)
gpt-6.1-solUAH 0.14UAH 4.07UAH 1.40$3.31 (UAH 150)
gpt-6-astraUAH 0.72UAH 20.34UAH 7.01$9.52 (UAH 430)

Transcribing 390 minutes of voice costs $1.76 (UAH 79) whatever the text model, so in the cheapest option it is over 95% of the bill. Choose the model by how well it understands field jargon and your field names, not by price. The total excludes the app that receives voice notes from a messenger and writes a row to a table: take its cost from the chosen platform's pricing; how such links are built without a programmer is covered in the article on automation without a programmer.

A first step for a week

  1. Make a list of your fields with the short names workers use and the areas from the cadastre.
  2. Ask two people to record every operation as a voice message for a week.
  3. Give the model the field list and an instruction: split the note into columns, add nothing, mark empty fields 'to confirm'.
  4. At the end of the week compare the model's table with what the agronomist would have written. Count not speed but the number of rows where a field or area had to be corrected. If it is fewer than one in ten, move the whole crew to voice.

Our position

A model saves a farmer the most time on the paperwork around state support and records: turning programme terms into a checklist, calculating the amount with the per-hectare cap, and turning voice notes into a log. There is one hard line: the model does not give the application rate, number of treatments or timing of a product, even when asked directly, because by law that is the regulation on the label of a registered product.

This position does not hold if the farm already keeps records in an agronomy system with its own log and rate module: then a model makes sense only for applications and letters. It also does not hold for a farm of a few hectares without employees, where the owner does all the work: a voice log saves less time than the setup takes. The compensation calculation assumes that all costs are eligible and the area for the cap equals the one shown; check this against Procedure No. 1070 before applying.

Checked on 26 October 2026 on the State Agrarian Register website (home page and programme announcements of 02.06, 06.10 and 12.10.2026), the OpenAI API pricing page and at the National Bank of Ukraine; legal provisions from the texts of the Law on Pesticides and Agrochemicals and Cabinet of Ministers Resolution No. 77 on zakon.rada.gov.ua. The arithmetic was recalculated in code. Irrigation costs, areas and note volumes are hypothetical.

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