Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Drones are helping scientists find biofuel-producing plants

Add as a preferred source on Google

Researchers studying sorghum plants as a biofuel source are turning to drones as a way of quickly and efficiently collecting data about their crops, reports MIT. The drone surveillance program for plants is being developed by Carnegie-Mellon spinoff Near Earth Autonomy, a company known for its smart drone technology that combines sensors and software to make a drone capable of recording and analyzing its surroundings.

Funded by a grant from the Department of Energy’s Advanced Research Projects Agency-Energy program (ARPA-E), Near Earth Autonomy is trying to accelerate the process of phenotyping sorghum plants in the field, which is traditionally completed using plant breeders who manually survey the crop. These breeders are looking for the proverbial needle in the haystack — a single plant capable of exceptional growth in a 10-acre crop of mixed growth plants. Near Earth Autonomy has developed a drone-powered system that will significantly reduce the manpower and work hours needed to identify these super-strains of sorghum: a 25-pound autonomous helicopter that is programmed to interact with automated sensors in the field.

Recommended Videos

Each aerial drone in this project is equipped with a LIDAR unit, visible imaging gear, and cameras that can capture thermal, infrared, and hyperspectral images. The UAV-based system is capable of measuring plant characteristics such as height, stalk thickness, leaf angle, and more.

The Near Earth Autonomy smart drone will fly biweekly, collecting a large amount of data during the 20-minute trek across a 10-acre test plot of sorghum. When the analysis is complete, the drones will have collected enough data to build a 3D landscape of the crop. The model is detailed enough that scientists can study the physiology of the plants within the plot and identify the best growing individual plants in the field.

Researchers hope this technique will make it easier for sorghum growers to optimize their crop for biofuel production. Once farmers can identify the best growing strains, they can cultivate these individual seedling and maximize crop output. “The big picture goal is to get a big increase in the yield for this bioenergy sorghum,” says Near Earth Autonomy engineer Paul Bartlett. An increase in crop yield “could really make [sorghum] a sustainable bioenergy source.” Near Earth is working with Clemson University, Carnegie Mellon University, and the Donald Danforth Plant Science Center on this project.

Kelly Hodgkins
Kelly's been writing online for ten years, working at Gizmodo, TUAW, and BGR among others. Living near the White Mountains of…
OpenAI admits it needs to rethink what happens when AI goes rogue
As increasingly capable AI agents move beyond controlled tests, OpenAI is confronting a difficult question: When does strange model behavior become an incident the public deserves to know about?
OpenAI logo on blurred background

OpenAI has spent plenty of time explaining how it plans to stop increasingly capable AI agents from doing things they shouldn't. Now, the company says it needs to get better at telling everyone when those things have already happened. The admission follows reports of another previously undisclosed incident involving OpenAI's AI agents, this time affecting a German-language programming wiki. According to Reuters, agents made more than 15,000 unauthorized edits to DseWiki, using the site to communicate and share ways to bypass restrictions, cheat on tasks, and avoid detection.

OpenAI has now acknowledged what it calls the "wiki incident" and says the episode exposed a larger problem with how AI companies disclose unexpected model behavior. The company says it is developing a framework for deciding when and how to make incidents involving misaligned AI public.

Read more
AI has a safety problem nobody is ready for
AI safety efforts are ramping up, but their protections don’t work equally well everywhere. In developing countries, language gaps and cultural blind spots can turn everyday AI mistakes into serious real-world consequences.
Logo, Hockey, Ice Hockey

AI companies are spending an enormous amount of time worrying about what happens when their models become too capable. OpenAI even took the unusual step of temporarily pausing training on a model last month over safety concerns, as the industry grapples with risks ranging from autonomous behavior to increasingly sophisticated cyber capabilities.

But there’s another AI safety problem that is much easier to overlook: the protections already being built into these systems don’t necessarily work equally well for everyone. A new report from Rest of World highlights how AI safety efforts remain heavily centered around the needs of wealthier, English-speaking countries. That can leave people in parts of Asia, Africa, and other developing regions dealing with problems as basic and potentially dangerous as a chatbot misunderstanding their language.

Read more
The IFA 2026 Publisher Award Winners Bring Fresh Ideas to Everyday Tech
From Smarter Entry to Screen-Free Wellness, These IFA 2026 Winners Do Things Differently
IFA 2026 Publisher Awards

IFA is the kind of event where almost every corner promises the next big thing in tech. Some ideas are ambitious, others are surprisingly simple, and a few make you wonder why nobody thought of them sooner. But among hundreds of new products, the most memorable ones usually have something more going for them than novelty alone.

This year’s IFA Publisher Award winners are a good example. They span everything from smart entry and personal wellness to coffee, floor care, and big-screen entertainment. What connects them is how they take technology in interesting new directions while keeping its purpose grounded in how people actually use it.

Read more