grass field

Tools. Knowledge. Results.

Farming doesn’t give us unlimited chances.

Most farmers get roughly 60 growing seasons in a lifetime if we're lucky. Add crop rotation, and you may only get one true “shot” per field every few years to evaluate a change. Add weather variability (hot, cold, wet, dry — and combinations), and it’s easy to burn 15–20 years just trying to understand how one field responds to one practice under different conditions.

There’s a lot of noise in agriculture right now — especially in the soil health and regenerative space. New products, new promises, new buzzwords… and not nearly enough proof.

Crop Growth Sciences (CGS) exists to remove the confusion and replace it with something farmers can actually build a business on: clean, field-scale data and disciplined agronomy.

We are an agronomic service and crop input provider focused on validating soil health practices and nutrient use efficiency technologies — including biologicals and biostimulants — in the only place that really matters: your farm, your soils, your crops, your weather...

Before we recommend a product, a rate, or a practice, we start by understanding the system you’re actually farming.

Variability is the reality.

A field is not a homogeneous block. If you treat it like one, you’ll get inconsistent results — and you’ll be told, “that product works… sometimes.” CGS is designed to answer why.

No “rainbows in a jug.”

We’re not here to sell hope in a container. We’re here to do rigorous work, generate clean data, and help you invest in what proves itself

CGS Farm A.D.E. map → test → validate → scale

1) EC mapping on every acre

We use EC mapping as a foundational layer because it reveals the natural patterns and variability that drive response. It’s how we delineate meaningful zones and stop averaging away the truth.

2) Zone-based sampling paired with comprehensive soil analysis

Next we follow up with extensive soil analysis designed to measure function, identify constraints, and build a realistic strategy — not a generic recommendation.

3) Learning blocks built into real fields

This is where CGS becomes different. Inside each field — and inside specific zones — we install learning blocks so you can validate products and practices without sacrificing the whole field. Depending on field size, we typically place 2–5 acre learning blocks that include:

  1. - Control (no treatment)

  2. - Recommended treatment

  3. - Half rate treatment

  4. - Double rate treatment

This structure gives you true rate response and removes the “I think it helped” problem.

4) Variable-rate programming + execution support

Once we’ve learned what works (and at what rate), we scale it with variable-rate programming so you can apply the right tool, at the right rate, in the right place — and repeat it consistently.

CGS is built to evaluate real-world product claims and management decisions across soil type, crop, and rotation context — including:

  • Nutrient use efficiency products

  • Biologicals & biostimulants

  • Population density strategies

  • Planting decisions

  • Variety comparisons

  • Planting density responses

  • Soil health practices (and the sequence/timing that makes them work)

Anything else that needs a clean, field-scale test with a real life control

If it can be measured, it can be validated.

What we promise

We don’t promise perfect weather, perfect markets, or “magic” yield outcomes.

What we do promise is this:

  • You will learn faster

  • You will have cleaner data

  • You will make decisions with higher confidence

  • You will be more efficient and more prepared, no matter what kind of season shows up

In other words: maximum efficiency and preparedness — because the farm that learns the fastest is the farm that adapts the best.

That reality creates two problems:

1. The cost of guessing is enormous.

2. Learning too slowly is a competitive disadvantage.

So we built CGS around one mission: increase learning per acre, per season — without gambling the whole farm.

Soil Health: what Grandpa called tilth — measured

We believe “soil health” is not a trend. It’s what prior generations recognized as tilth, updated with modern measurement and better tools. To us, soil health is simple:

Guessing costs farmers money
Guessing costs farmers money

That means it can breathe, infiltrate water, cycle nutrients, and support roots — consistently. And it also means we refuse to reduce soil health to a single input category. Soil function is not just chemistry. Not just biology. Not just “bugs.” It’s the whole system working together — physics, chemistry, biology, and management.

The CGS Agronomic Development Engine (ADE) at work helping you compare apples to apples (black blocks). Random plot distribution (white blocks) will only leave you guessing if you don't understand the role variable soil characteristics have on soil functionality and productivity

Book a call and let’s turn this season into clean profitable knowledge.

Randomized Field Learning Blocks
Randomized Field Learning Blocks
EC Mapped Field Map
EC Mapped Field Map
Redistributed Field Learning Blocks in to likewise zones
Redistributed Field Learning Blocks in to likewise zones

Let’s build clarity on your acres

If you’re tired of suspect products, "we have that too" claims, and expensive guesswork, CGS is here to help.

Start with a conversation. We’ll help you define the question, design the validation, and build a practical plan that fits your equipment, your workflow, and your risk tolerance.

A healthy soil is one that can function as designed.

Why we do what we do

Our philosophy

Prescription without diagnosis is malpractice.

What we can validate

Randomized Trial layout can lead you astray.

EC data before clean up step and zoning

The Team

Darcy Lepine

General Manager

Darcy Lepine
Darcy Lepine
Tom Frobb, HBa

Specialty Sales, Operations Manager

Tom Frobb
Tom Frobb
Alan Wicks, PhD,
Plant Physiology

Chief Science Officer

Alan Wicks PhD
Alan Wicks PhD
Wilson Johnston, Vice President, Chief Technical Agronomist
Wilson Johnston, Vice President, Chief Technical Agronomist
Wilson Johnston, P.Ag

Chief Technical Agronomist