Skip to main content
  1. Home
  2. Emerging Tech
  3. Legacy Archives

Need to water your lawn? The Raincloud has already taken care of it for you

Add as a preferred source on Google

Plants and flowers can make the inside and outside of your home not only aesthetically pleasing, but they can improve the environment, too. That is if you remember to water them. Plenty of flora have died at our hands simply because we’re either forgetful or too lazy to bother. But a new affordable automated watering system called the Cultivar RainCloud could not only make watering a manual labor of the past, but also possibly transforming the way we eat. 

The Cultivar RainCloud components.
The Cultivar RainCloud components. Image used with permission by copyright holder

The RainCloud watering system consists of a Raspberry Pi computer equipped with Wi-Fi. Running on batteries or solar power, the RainCloud regulates the water flowing through a 3/4-inch garden hose. A soil sensor that measures the ground conditions lets the RainCloud know when to start watering – when it’s wet enough, the system turns off the water, helping to save water. The user controls and monitors the system using Web-based apps from a smartphone or computer via a home network. Even when you can’t rush home in time, the RainCloud can automatically water your lawn or plants for you, or you can tell it to from your phone.

Recommended Videos

cultivar-raincloud-2Besides looking for a way to develop a viable irrigation system on the cheap, creator Ryan Talermo has a larger-picture goal in mind. While computerized watering systems have been around, they are too expensive for small-batch local farmers to afford. “With RainCloud, Cultivar is striving for hardware, communication and information systems that are flexible and support the evolution of environmentally responsible precision agriculture, mobile lifestyles and community co-operation,” Cultivar writes on his Kickstarter page. Cultivar hopes the system can revolutionize farming, and help more people move away from processed or commercially farmed foods and toward fresher produce.

The Kickstarter project has successfully reached its $25,000 goal. Cultivar said it will continue to develop the project with new hardware, communication, and information applications.

Les Shu
Former Senior Editor, Photography
I am formerly a senior editor at Digital Trends. I bring with me more than a decade of tech and lifestyle journalism…
The future of AI may depend on this one behind-the-scenes change
Running Claude on Android.

Whenever a new AI model arrives, it's easy to get caught up in the bells and whistles. We talk about how much smarter it is, how quickly it answers questions, or how realistic its images have become. But here's the thing: none of that matters much if the AI can't reliably work with the apps and services people use every day.

That's why an upcoming update to the Model Context Protocol (MCP) caught my attention. It isn't a new chatbot or a fancy AI model. In fact, most people will never even know it's happening. But it could quietly make the AI ecosystem a lot healthier. If you've never heard of MCP before, don't worry. Think of it as a shared language that lets AI assistants safely talk to apps like Gmail, Slack, calendars, databases, and countless other services. Instead of every company inventing its own way to make those connections, MCP gives everyone a common rulebook.

Read more
The AI game-dev boom has a dark side: fewer jobs for the people starting out
Solo creators are thriving with tools like Claude Code and Copilot, but entry-level game roles are disappearing.
Man playing a video game on a desktop with glowing red and blue lights

AI is making it easier than ever for a single person to build a game. That sounds like a win for creativity, and in many ways, it absolutely is. But there is a catch. As generative AI tools help solo developers and small studios do more with fewer people, the same shift is making life tougher for writers, artists, concept creators, and junior programmers trying to break into the gaming industry.

AI is giving solo developers superpowers

Read more
A new AI model wants self-driving cars to think before they swerve
Forget guessing games, this self-driving AI actually shows its work.
Self driving car

Self-driving cars have gotten pretty good at driving. The harder problem is teaching them to drive safely in situations nobody planned for. We have heard horror stories of self-driving cars, behaving erratically in emergency situations, often times delaying first responders from reaching the scene.

A team at Seoul National University, led by professor Jun Won Choi from the Department of Electrical and Computer Engineering, thinks they have cracked part of that puzzle with a new AI model called SafeDrive. The research was recently selected as a highlight paper at CVPR 2026, a distinction that goes only to roughly 3% of all submissions.

Read more