So… here we are.

Its April 27, 2021 — May is almost here.

Growers we’ve been talking to are well underway with planting, some are even finished, and some in Europe had to re-plant because of a late frost. Harvest is a few months away, it’s been a busy winter and Q1 of 2021 has been full of surprises.


In July of 2020 I created Cadre-Ai, Inc. It was an answer to the question we’ve been asked so often, “Will what you built for agriculture work in other industries?”…yes… yes it will.

But AI is not a one size fits…

This year we will launch the Version 3 (v3) of the Farmwave Vision System. Moving forward, because it is now agnostic to combine harvesters or sprayers, we’re just calling it the Farmwave Vision System, (FVS).

The Early Adopters Program (EAP) for sprayers is now open and you can signup here.

Those looking for v3 for 2021 harvest, can pre-order here. At this time there is no deposit required as we’re simply gauging numbers for our build partner(s) and parts vendors. We’ll be reaching out to those pre-ordering in a few months taking deposits, customizing your order, and scheduling install.


Over the course of 7 years building out an artificial intelligence that could add billions of dollars in value to the agriculture industry and building the first known data base of imagery curated for AI in plant pathology, we had to build… a box.

Here it is. Our box. The Farmwave Vision System v2.0.

This box is comprised of all off-the-shelf components. This was done for a few reasons:

  1. We had a budget for a prototype.
  2. We’re not a hardware company and did not want this to become the main focus.

We wanted to make sure that we stayed focused…

This was a year of many challenges for so many reasons. Whether it be a pandemic spreading throughout the world, or distasteful politics in the United States, 2020 was full of conflicts and challenges.

But at Farmwave, we’re used to it. Because when you’re building something so innovative, from an idea, and it’s never been done before… the process is going to be full of challenges.

Regardless of what we faced, we could not be more thankful for our private shareholders, customers, dealers, and especially our early adopters this year. It took real courage and risk to see what we…

As harvest season comes to a close, and the year is winding down, I wanted to provide the first Farmwave Harvest Vision 2020 Season Report. I hope everyone is well, staying safe, and looking forward to 2021.

It was a very exciting year for Farmwave. Bringing the Harvest Vision System to market had many challenges for this small team. As data scientists and software engineers, we had to become hardware engineers and fabricate everything used to show the AI capabilities. Our prototype from 2019 morphed into something we are proud of calling an MVP. In a COVID-19 environment we had…

October 20, 2020 — Field Updates

Wow, what a year it has been so far! The great farmers around the country (specifically Iowa) have dealt with it all this year. Starting with a pandemic, a Derecho storm in August, that for many created a situation never before seen, to a drought in the final month of the growing season leading to an unbelievably dry crop that has been very susceptible to fires similar to what was seen back in 2012 and still growers push forward and yields so far this year have been all over but averaging pretty well. …

Harvest Vision System Devices for 2020 Harvest Season

We’ve had a lot of requests for the Farmwave 2020 Harvest Vision device in the past few week just after announcing we’ve fulfilled our orders for the year. We’re simply humbled by the demand and interest in the technology we’ve built.

We had a set number we intended to build and once we did that we stopped. One of the biggest reasons is that we’re not a hardware company. The power in Farmwave is behind the software; the AI which performs the necessary tasks for real-time measurement of loss. Being a hardware company means carrying an inventory and this is…

The new Farmwave Harvest Vision v2.0 interface.

This newer interface brings real-time information on what grain is being left behind, where it’s coming from, and how it’s impacting the overall performance.

  • Drag-n-drop AI modules
  • Graphical interface on loss thresholds w/time intervals
  • Measure loss in real-time on each zone
  • Set threshold parameters that are zone specific and crop type specific
  • Models for corn and soy with small grains, (wheat and canola) in development

Craig Ganssle

Entrepreneur | Tech Innovator | Marine Corps Veteran | Speaker | Coffee Addict

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