AI for Agriculture

Farming and agriculture generate enormous amounts of data — market prices, weather patterns, yield records, supplier invoices, assurance and compliance paperwork. Most of it gets processed by hand, late in the evening, if it gets processed at all.

I've built AI tools for agricultural businesses in East Anglia that turn this data into decisions. Not theoretical — working software that saves real, measurable time every week. I'm based in Bungay, on the Suffolk-Norfolk border, in the middle of some of the most productive arable land in the country.

Dewing Grain — AI Market Analysis

A grain merchant was spending 6+ hours per week manually tracking and analysing grain market data. I built an AI-powered platform using OpenAI Vision that reads market reports automatically, extracts prices and trends, and presents them in a dashboard the team uses daily. The result: over 6 hours per week saved on analysis that used to be done by hand.

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How AI helps agricultural businesses

Market & price analysis

Automatically read market reports, price feeds, and commodity data — even from PDFs and screenshots. Get the insight in minutes instead of hours.

Compliance & paperwork

Automate record-keeping and report generation, and cut the admin burden of assurance schemes and regulatory returns.

Supply chain visibility

Connect your existing systems — accounting, inventory, logistics — so data flows automatically instead of being re-keyed three times.

Where AI fits on a working agricultural business

The wins are rarely glamorous — they're the repetitive, data-heavy jobs that eat into everyone's week:

Reading documents you'd otherwise type up by hand — market reports, delivery notes, weighbridge tickets, supplier invoices. Modern AI can read a scan or a photo and pull out the numbers reliably.
Turning data into a decision — surfacing price movements, contract positions, or input costs in a dashboard instead of a spreadsheet someone has to rebuild each morning.
Drafting and summarising — assurance paperwork, grant and subsidy applications, and the long email threads that come with contracts and logistics.
Joining up the systems you already run — so your accounts, stock, and trading data stop living in separate islands.

How it works

1. A free call. You tell me where the hours go; I tell you, honestly, whether AI is the right tool for it.

2. A proof of concept (2–4 weeks). I build a working prototype on your real data so you can see the saving before committing to a full build.

3. Implementation. If it earns its place, I build it properly, integrate it with your systems, and support it.

Common questions

Is my data safe? Yes — I design these systems so your commercial data stays under your control, and I'll talk you through exactly how any AI service handles it.

We're not a big operation. Is this worth it? If a job takes someone several hours a week, automating it pays back quickly regardless of size. The ROI calculator gives you a rough figure in a couple of minutes.

Will it work with the software we already use? Usually, yes. Most of what I build connects to existing accounting, trading, and inventory tools rather than replacing them.