Agriculture CT Scanning for Fertilizer Analysis: A Data-Driven Look Inside Corn Growth

Use agriculture CT scanning to enhance fertilizer analysis with precise insight into corn structure and growth.

Victoria Russman
Victoria Russman

When a customer reached out after watching one of Nel PreTech’s CT scan videos on YouTube, the request immediately stood out.

They weren’t evaluating a machined component or an additive manufacturing build. They needed agriculture CT scanning to support an analytical approach to fertilizer analysis of ears of corn.

The goal: to compare corn before and after fertilizer application, measuring overall size and the structure and development of individual kernels. Industrial CT scanning is an X-ray technology capable of providing internal visualization for organic and non-organic materials. The CT scanning approach was the only viable data-gathering solution.

The Challenge: Fertilizer Analysis Beyond Surface-Level Data

Most fertilizer analysis data is gathered on length and diameter, external properties. Useful in some applications. However, these metrics may not fully paint the picture of why performance changes occur.

This customer needed deeper visibility, including:

  • Accurate dimensional comparison of corn ears
  • Detailed analysis of kernel size, distribution, and formation
  • A non-destructive method to evaluate internal structure

To achieve this, they required a solution capable of going beyond surface-level inspection, something agriculture CT scanning is uniquely positioned to provide.

Why Agriculture CT Scanning Delivers Better Insight

Agriculture CT scanning applies the same industrial computed tomography technology used in aerospace and medical device inspection to organic materials. The result is a fully reconstructed 3D dataset that captures both internal and external geometry.

For fertilizer analysis, this offers several advantages:

  • Non-destructive evaluation, preserving samples for comparison
  • High-resolution imaging of internal kernel structures
  • The ability to perform precise dimensional measurements throughout the entire ear
  • Data sets that support side-by-side comparative analysis

Instead of estimating results based on external indicators, CT scanning provides quantifiable internal data.

The Solution: Turning Corn Into Measurable Data

Using industrial CT scanning, Nel PreTech captured high-resolution volumetric scans of each corn sample. These scans enabled a detailed evaluation tailored specifically for fertilizer analysis.

From the dataset, the customer was able to:

  • Measure overall ear geometry and growth differences
  • Analyze kernel density and spatial distribution
  • Compare internal structural changes between pre- and post-fertilizer samples

This level of insight would not be possible with traditional sectioning methods without introducing variability or damaging the sample.

X-Ray image of corn sample during CT scanning process
X-ray image of corn samples during the CT scanning process

What This Means for Fertilizer Analysis

This project demonstrates how agriculture CT scanning can tackle unique fertilizer analysis with data-driven solutions.

To fully understand the scope of this kind of work, organizations can now:

  • Identify how fertilizer impacts internal development
  • Validate product performance with measurable structural data
  • Support R&D with repeatable, high-resolution analysis methods

For companies developing or testing fertilizers, this approach provides a more complete understanding of product effectiveness.

Built for Engineering—Adaptable to Agriculture

While this application focused on corn, the underlying technology remains rooted in engineering-grade inspection.

The same CT scanning capabilities used for:

  • Porosity analysis in metal castings
  • Dimensional inspection of tight-tolerance components
  • Internal defect detection in additive manufacturing

…are what make agriculture CT scanning viable for advanced fertilizer analysis.

This crossover highlights the flexibility of CT technology—delivering value well beyond traditional industrial use cases.

Seeing Is Better Than Believing

This project started with a video—and turned into a practical example of how agriculture CT scanning can support real-world fertilizer analysis.

It reinforces a simple idea:
When you can see internal structures clearly, you can measure performance with confidence.

Ready to Apply CT Scanning to Your Process?

Whether you're developing engineered components or exploring new approaches to fertilizer analysis, access to high-resolution internal data changes how decisions are made.

📩 Connect with Nel PreTech to discuss your application or request a quote:
https://www.nelpretech.com/contact

Victoria Russman

Victoria is the Creative Marketing Manager at Nel PreTech Corporation. She takes complex topics, like industrial CT scanning and 3D engineering, and turns them into accessible content for engineers and decision-makers. With a strategic communication background, she's helped Nel PreTech become a go-to partner in precision measurement and digital manufacturing. Off the clock, you’ll probably find her on a snowboard or hunting down the best tacos in town. She's not afraid to carve her own path!

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