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Industry — Agriculture & Horticulture

AI for Agriculture & Horticulture

Weather, input costs and margins keep tightening, while every field, herd and greenhouse is different. We build AI that reads your crops, soil and livestock — predicting yield, catching disease early and steering water, feed and fertiliser exactly where they pay off.

Last updated: 11 June 2026

In short

AI helps farms and horticulture businesses cut inputs and lift yields by turning sensor, satellite and machine data into field-level decisions. Concrete uses include precision agriculture (water, fertiliser and crop protection per zone), crop yield prediction, livestock monitoring, and computer-vision crop-disease and pest detection. Crux Digits builds these as custom tools at fixed prices, EU AI Act-aware, for growers in the Netherlands and the EU.

Why AI here

Grow more with less — field by field

Farming and horticulture run on countless small decisions — when to irrigate, how much to feed, which plot needs attention — made across huge areas under weather no one controls. AI is good at exactly this: turning sensor, satellite and machine data into decisions too detailed and too frequent to make by hand.

We build models that respect the reality of the land and the barn — soil variation, animal welfare, harvest windows, manure and emission rules — and connect them to the machines and management systems you already use.

Where AI helps

Use cases across agriculture & horticulture

01

Precision agriculture

Apply water, fertiliser and crop protection per zone instead of per field — lower inputs, higher yield, less runoff.

02

Crop yield prediction

Forecast yield per plot weeks ahead from weather, soil and satellite data to plan labour, storage and sales.

03

Livestock monitoring

Track health, feeding and behaviour with sensors and cameras to catch illness early and improve welfare.

04

Crop disease & pest detection

Computer vision spots disease, weeds and pests early from images, so you treat targeted spots, not whole fields.

05

Drone & satellite crop monitoring

Remote sensing maps stress, growth and moisture across every hectare — no walking the field to find problems.

06

Greenhouse, resource & green-gas optimisation

Optimise greenhouse climate and irrigation, and tune biogas and green-gas production from manure and waste.

How we work

From use case to live on the farm

Step 1

Audit

We map where AI pays back first — your data, machinery and management systems.

Step 2

Build an MVP

By the second call you get a working prototype on your crop, herd or greenhouse — not a spec.

Step 3

Deploy

We integrate with your farm-management software, sensors and machinery so insight becomes action.

Step 4

Monitor

We track results against your baseline and keep the model accurate through the seasons.

What you gain

Outcomes you can measure

FAQ

Questions, answered

Do we need expensive sensors or new machinery?

Not necessarily — a lot of value comes from data you already have: satellite imagery, weather, machine logs and management records. We start with what's available and add sensors only where they clearly pay back.

Does it work for greenhouses as well as open fields?

Yes — horticulture is a strong fit. Greenhouse climate, irrigation and crop monitoring are data-rich and controllable, so AI can tune conditions precisely; open-field work leans more on satellite, weather and soil data.

How accurate are yield or disease predictions?

We measure every model against a clear baseline on your own fields and report honestly — if it doesn't beat your current practice, we say so. Accuracy grows as more of your seasonal data comes in.

Can it connect to our farm-management software and machinery?

Yes — we integrate with common farm-management systems, sensor platforms and ISOBUS-capable machinery so recommendations reach the tractor or the barn, not just a dashboard.

Who can build a custom AI solution for a farm or horticulture business in the Netherlands?

We can. Crux Digits is a boutique applied-AI firm based in the Utrecht region, working remotely or on-site with arable farms, dairy operations and greenhouse growers across the Netherlands and the EU. We are a small, senior hands-on team, not a large consultancy, with practical experience across vision, forecasting and sensor data. We work in Dutch and English, founded in 2022.

How does an AI project start, and how do you handle data and compliance in agriculture?

We start with a short paid discovery to scope one real problem — a crop, a herd or a greenhouse — then deliver at a fixed price with you owning the code and IP. On data: your farm, machinery and imagery data stays yours; we apply data minimisation, keep it within the EU, and stay aware of the EU AI Act and manure and emission rules. We keep a human in the loop rather than letting a model decide alone.

Have a yield, disease or resource problem?

Tell us where cost or loss creeps in — we'll map a path to value in a free consultation.

Book a free consultation →