Naware 的無化學除草技術有望改變草坪處理方式

Naware 的無化學除草技術有望改變草坪處理方式

Techcrunch·

Naware 開發了一種無化學除草技術,利用電腦視覺辨識雜草並以蒸氣將其清除。這項創新技術可安裝於各種載具,為傳統草坪護理方式提供環保替代方案。

Image

Image

Topics

Latest

AI

Amazon

Apps

Biotech & Health

Climate

Cloud Computing

Commerce

Crypto

Enterprise

EVs

Fintech

Fundraising

Gadgets

Gaming

Google

Government & Policy

Hardware

Instagram

Layoffs

Media & Entertainment

Meta

Microsoft

Privacy

Robotics

Security

Social

Space

Startups

TikTok

Transportation

Venture

More from TechCrunch

Staff

Events

Startup Battlefield

StrictlyVC

Newsletters

Podcasts

Videos

Partner Content

TechCrunch Brand Studio

Crunchboard

Contact Us

Image

Naware’s chemical-free weed killer tech could change how we treat lawns

Naware founder Mark Boysen first tried killing weeds with drones and a 200-watt laser.

He’d been noodling on ideas for a startup with some friends, and thinking about how his family in North Dakota had lost three members to cancer, something they suspected may be related to chemicals in the groundwater. Finding a chemical-free way to kill weeds seemed like a solid option.

But the laser was a dead end. There’s too much risk of starting a fire, he told TechCrunch in an interview. After a lot of trial-and-error prototyping with ideas like cryogenics. The solution he settled on — which he showed off earlier this year at TechCrunch Disrupt 2025 — is steam.

Boysen’s company has developed a system that uses computer vision to spot weeds in lawns and fields and golf courses, and kill them with nothing but vaporized water. It can be attached to mowers, or tractors, or even ATVs. At the moment, Naware is flexible, and Boysen is visibly eager for his idea to spread fast — much like the weeds he’s trying to kill.

In a world of agentic AI and billion-dollar software companies, Naware stands out as a classic garage startup story. Boysen said his team first tested the use of steam by ordering a “rinky dink” garment steamer off of Amazon. After that, they ordered seven more.

“They’re not real industrial,” Boysen said he quickly realized. “And so there’s a lot of research helping to develop that, to get to the point of: ‘how do we make this effective and make it repeatable so it can scale?’”

Developing the steamer tech was one challenge, but the bigger one may have been identifying the weeds, Boysen said. It’s well-established that artificial intelligence software can be trained to accurately recognize objects or patterns, but the “green-on-green” problem was tough, he said — especially because the software has to recognize the weeds in real-time while the rig is prowling over a lawn. (And yes, it’s using Nvidia GPUs.)

He thinks they’ve gotten there, though. He said Naware is targeting companies that do lawn care for athletic fields and golf courses, and claims his company can save customers like that “anywhere from $100,000 to $250,000 on chemicals alone.”

On top of that, he said customers will save money by not having to pay for people whose only job is to spray those chemicals. Naware has been doing paid pilots to test and dial in the product, but Boysen’s pitch has already attracted prospective partners, he said.

“We’re going after the strategic partnerships. We’re in discussions with $5 billion companies that do equipment manufacturing that are interested in our product. And we’re a couple conversations into that — I can’t say their name, but you’ll figure it out,” he laughed.

Success, Boysen said, will take three things: those partnerships, securing patents, and funding. Boysen has been bootstrapping Naware for now, but said he’ll open its first fundraising round in the coming months.

“I’ve got to get a funding round that just crushes anybody else trying to think about it” he said. “I’ve got to deliver the promise that I can kill weeds, and it’s effective. And we’ll make it work. I’m not concerned about that.”

Topics

Image

Sr. Reporter, Transportation

Sean O’Kane is a reporter who has spent a decade covering the rapidly-evolving business and technology of the transportation industry, including Tesla and the many startups chasing Elon Musk. Most recently, he was a reporter at Bloomberg News where he helped break stories about some of the most notorious EV SPAC flops. He previously worked at The Verge, where he also covered consumer technology, hosted many short- and long-form videos, performed product and editorial photography, and once nearly passed out in a Red Bull Air Race plane.

You can contact or verify outreach from Sean by emailing [email protected] or via encrypted message at okane.01 on Signal.

Image

Plan ahead for the 2026 StrictlyVC events. Hear straight-from-the-source candid insights in on-stage fireside sessions and meet the builders and backers shaping the industry. Join the waitlist to get first access to the lowest-priced tickets and important updates.

Techcrunch

相關文章

  1. Ammobia聲稱已革新百年氨生產技術

    3 個月前

  2. Carbon Robotics 開發用於植物偵測與識別的 AI 模型

    3 個月前

  3. Waymo 在納許維爾測試無人駕駛機器人計程車

    2 個月前

  4. Hauler Hero 獲 1600 萬美元融資用於 AI 廢棄物管理軟體

    2 個月前

  5. TechCrunch Disrupt Startup Battlefield 上的 22 家頂尖清潔科技與能源新創公司

    4 個月前