STARTING MODELS

15 Feed starting models

From forage to compound feed. A starting model gives you a head start: we check it against your own samples and adapt it to your region and conditions where needed. The parameters depend on the model.

Forage and silage

Forage and silage

5 MODELS

Check dry matter and quality at harvest, in the clamp or before feeding.

Silage

Maize silage

Sorghum silage

Hay, mixed

Pasture

Grains and by-products

Grains and by-products

4 MODELS

Grain and raw material checks at intake, in storage or at the mill.

Maize grain

Maize, milled

Soy meal

Wheat bran

Compound feed cattle

Compound feed

6 MODELS

Ration and product checks at the feed mill or on the farm.

Ruminant feed

Ruminant mix

Monogastric

Pig feed

Poultry mash

Poultry pellet

EXAMPLE RESULT

Fresh_silage_0907

Illustrative NIR spectrum from the example olive oil result

Fresh silage

Starting Model

34.5 %

Dry matter

Error ± 1.0%

Crude protein:  7.8% ± 0.4%

NDF: 40.2% ± 1.2%

ADF: 23.1% ± 0.9%

Starch: 32.4% ± 1.1%

Sugar: 2.1% ± 0.3%

Digestibility: 72.0% ± 1.5%

NEL: 6.6MJ/kg ± 0.1

Example result. Nutrients on a dry matter basis. Values are illustrative, and the parameters reported vary by model.

CUSTOM MODELS

Built around your samples

Beyond the ready-to-use models, we calibrate a model on your own reference samples for anything else on your line.

Milk and dairy

Fat

Protein

Moisture

and other parameters

Soil

N

P

K

Mg

Ca

Organic matter

pH

Texture

and other parameters

Plant tissue

N

P

K

Mg

Ca

and other parameters

Manure

Total nitrogen

Organic matter

Dry matter

Ammonia nitrogen

and other parameters

Fertilizer

N

P

K

Mg

Ca

Organic matter

and other parameters

Your own material

Other crops, soils or by-products from your region.

Compound feed cattle

WHY IT MATTERS

Data-driven decisions, in the field and on the farm

Analyzing nutrients in the field lets you decide on the spot rather than days later. Every scan is stored, so you build a complete view of your fields, feed and performance over time.

That data flows into the web platform, where trends across fields, seasons and sites support better planning, resource use and forecasting.

HOW A MEASUREMENT WORKS

Three steps to a result

Whether your model comes from our library or was built on your samples, scanning works the same way.

Wistia video thumbnail

1

Connect

Pair the device with the NIRStudio app on your phone.

2

Scan

Choose your model, place the device on the sample and press the button.

✓

Result

Read the result in the app. It is stored and synced to the web platform.

YOUR MODEL

How your model gets built

It starts with your reference data: real samples from the crops, soils and feed your team works with.

1

Scan and send

Scan each sample with the device and send the same sample to a lab for certified reference analysis.

2

We build your model

We match your scans to the reference results and build a calibration validated against them.

3

Ready to use

Your model loads into the NIRStudio app, ready for your team to scan against.

Not sure NIR will work on your material? Start with a feasibility study: a short device rental and an initial model to confirm it works before you commit to a full build.

Frequently Asked Questions

Tell us what you need to measure

If we already have a model for your material, you can start this week. If we don’t, we will build one for you.