Media Type: Video | Duration: 43.28 seconds

Transcription:
When you think of a swarm of drones. You probably imagine a terrifying scene from a viral video or black mirror episode. But in reality, pretty soon we could see a drone fleet spreading thousands of self-burying seeds that could restore Earth's forests. Scientists have created an autonomous self-burying seed carrier, that mimics the erodium plants Remarkable ability to drill its seeds into the ground. These tiny wooden seeding robots have coiled tails that unwind when moistened, driving seeds deep into the soil to take root. The seed carriers can also be used to deliver functional devices, like sensors to monitor each plant's progress. A fleet of drones could scatter millions of these self-planting seeds in hard to reach areas, bringing forests back to life at an unprecedented scale.

Caption:
This self-planting seed “robot” could reforest the planet.

Researchers from Carnegie Mellon, University of Pennsylvania, and Syracuse University have engineered autonomous seed carriers that revolutionize aerial reforestation capabilities through the use of drones.

Constructed from chemically processed wood veneer, they harness moisture to drill themselves into soil with an 80% success rate.

Beyond traditional seeding, these devices can transport beneficial microorganisms like mycorrhizal fungi, offering potential breakthroughs for agriculture and post-fire reforestation.

The full scientific paper, “Autonomous Self-burying Seed Carriers for Aerial Seeding,” was published in Nature.

#nature #forest #drone #goodnews #tech

Published: 2025-02-04T19:04:26.000Z
Post Stats: Likes: 489 | Comments: 14 | Views: 4770 | Plays: 11068
Post URL: https://www.instagram.com/p/DFqWtrOPuu7/

Media Type: Video | Duration: 54.32 seconds

Transcription:
This farming robot can zap weeds from three feet away with the accuracy of a surgeon and uses 96% fewer chemicals than traditional farming. The sharpshooter by Verdant Robotics is transforming agriculture with precise weed targeting down to the millimeter. Mounted on tractors, it distinguishes between crops and weeds, firing targeted shots of herbicide at up to 480 times per second. The system's spacial AI identifies plants as small as a dime and sprays within five millimeters of the target. This precision means farmers can use premium herbicides that were previously too expensive for broad application. A single sharpshooter can cover five acres per hour, working day and night, even in damp field conditions that would normally halt operations. Early adopters are already seeing dramatic results, cutting hand-weeding costs by 65% and achieving full return on investment within two years. This could mark the beginning of a new era in sustainable precision agriculture. Check out my daily newsletter linked in my bio for more stories like this.

Caption:
🚜 Link in bio for more stories like this!

This farming robot can zap weeds from three feet away with the accuracy of a surgeon, using 96% fewer chemicals than traditional farming.

The Sharpshooter by @verdantrobotics is transforming agriculture with precise weed targeting down to the millimeter.

Mounted on tractors, it distinguishes between crops and weeds, firing targeted shots of herbicide at up to 480 times per second.

The system’s spatial AI identifies plants as small as a dime, and sprays within 5 mm of the target.

This precision means farmers can use premium herbicides that were previously too expensive for broad application.

A single Sharpshooter can cover 5 acres per hour, working day and night, even in damp field conditions that would normally halt operations.

Early adopters are already seeing dramatic results, cutting hand-weeding costs by 65% and achieving full return on investment within two years.

This could mark the beginning of a new era in sustainable, precision agriculture.

#farming #robot #technology #goodnews #ai #agtech

Published: 2025-01-23T17:17:49.000Z
Post Stats: Likes: 552 | Comments: 5 | Views: 4372 | Plays: 12591
Post URL: https://www.instagram.com/p/DFLRbCauRAy/