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How Can Robots Revolutionize Farming with See-and-Spray Technology?

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Manage episode 376097477 series 3305641
Content provided by Open Robotics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Open Robotics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode you’ll learn about robotics in agriculture. We talk to Jim Ostrowski, CTO of Blue River Technology, about their See–and–Spray technology, Blue River’s partnership with John Deere, deep learning, and the future of robotics in agriculture. Don’t miss this episode if you want to see a great example of a high impact problem that robots are well suited for.
If you’re enjoying the podcast, please consider donating to help us keep it going:
https://donorbox.org/sense–think–act–podcast
EPISODE LINKS:
– Blue River Technology’s Website: https://bluerivertechnology.com/}
– Blue River Technology’s LinkedIn: https://www.linkedin.com/company/bluerivertech/}
– Jim Ostrowski’s LinkedIn: https://www.linkedin.com/in/jim–ostrowski–9a8112/}
PODCAST INFO:
– Podcast website: https://sensethinkact.com}
– Apple Podcasts: https://podcasts.apple.com/us/podcast/sense–think–act/id1582090036}
– Spotify: https://open.spotify.com/show/52wK4oMDvgijRk6E82tC5d}
– RSS: https://sensethinkact.com/itunes.xml}
– Full episodes: https://www.youtube.com/c/SenseThinkActPodcast}
– Clips: https://www.youtube.com/channel/UChfnCpNwZzYtZ32J–pZvNDg}
OUTLINE:
– (0:00:00) Start
– (0:03:02) How does their system work?
– (0:10:09) Image processing to spray weeds
– (0:17:27) Discussion on labor
– (0:21:48) Herbicide resistance
– (0:26:31) Genetically modified crops
– (0:27:50) Monocrop cultures
– (0:32:43) Regenerative agriculture
– (0:35:17) Partnering with John Deere
– (0:36:02) Jim’s background in Blue River
– (0:37:37) Deep learning technology
– (0:38:31) Risks of deep learning
– (0:41:29) Labeling for deep learning
– (0:41:54) Autonomous tillage
– (0:43:50) Challenges in tillage
– (0:45:10) Why tillage is a nice problem
– (0:46:55) Mentions monitoring the job
– (0:47:40) Using cameras to determine normal function
– (0:48:58) How to use deep learning in tilling
– (0:50:42) Getting into other areas like construction at John Deere
– (0:51:41) Fully automated farms?
– (0:55:36) Harvesting will be the last task to be automated
– (0:57:45) What’s the progression of automating tasks on the farm?
– (0:59:32) Hydroponic farming?
– (1:05:07) Future at Blue River
– (1:09:01) Integrating with John Deere
– (1:17:57) Allocating space in new designs
– (1:22:38) Advice for a new graduate
– (1:27:46) Wrapping up
SOCIAL:
– Twitter: https://twitter.com/sense_think_act}
– Discourse: https://discourse.ros.org/c/sensethinkact/71}
  continue reading

41 episodes

Artwork
iconShare
 

Fetch error

Hmmm there seems to be a problem fetching this series right now. Last successful fetch was on January 10, 2025 15:09 (5M ago)

What now? This series will be checked again in the next day. If you believe it should be working, please verify the publisher's feed link below is valid and includes actual episode links. You can contact support to request the feed be immediately fetched.

Manage episode 376097477 series 3305641
Content provided by Open Robotics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Open Robotics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode you’ll learn about robotics in agriculture. We talk to Jim Ostrowski, CTO of Blue River Technology, about their See–and–Spray technology, Blue River’s partnership with John Deere, deep learning, and the future of robotics in agriculture. Don’t miss this episode if you want to see a great example of a high impact problem that robots are well suited for.
If you’re enjoying the podcast, please consider donating to help us keep it going:
https://donorbox.org/sense–think–act–podcast
EPISODE LINKS:
– Blue River Technology’s Website: https://bluerivertechnology.com/}
– Blue River Technology’s LinkedIn: https://www.linkedin.com/company/bluerivertech/}
– Jim Ostrowski’s LinkedIn: https://www.linkedin.com/in/jim–ostrowski–9a8112/}
PODCAST INFO:
– Podcast website: https://sensethinkact.com}
– Apple Podcasts: https://podcasts.apple.com/us/podcast/sense–think–act/id1582090036}
– Spotify: https://open.spotify.com/show/52wK4oMDvgijRk6E82tC5d}
– RSS: https://sensethinkact.com/itunes.xml}
– Full episodes: https://www.youtube.com/c/SenseThinkActPodcast}
– Clips: https://www.youtube.com/channel/UChfnCpNwZzYtZ32J–pZvNDg}
OUTLINE:
– (0:00:00) Start
– (0:03:02) How does their system work?
– (0:10:09) Image processing to spray weeds
– (0:17:27) Discussion on labor
– (0:21:48) Herbicide resistance
– (0:26:31) Genetically modified crops
– (0:27:50) Monocrop cultures
– (0:32:43) Regenerative agriculture
– (0:35:17) Partnering with John Deere
– (0:36:02) Jim’s background in Blue River
– (0:37:37) Deep learning technology
– (0:38:31) Risks of deep learning
– (0:41:29) Labeling for deep learning
– (0:41:54) Autonomous tillage
– (0:43:50) Challenges in tillage
– (0:45:10) Why tillage is a nice problem
– (0:46:55) Mentions monitoring the job
– (0:47:40) Using cameras to determine normal function
– (0:48:58) How to use deep learning in tilling
– (0:50:42) Getting into other areas like construction at John Deere
– (0:51:41) Fully automated farms?
– (0:55:36) Harvesting will be the last task to be automated
– (0:57:45) What’s the progression of automating tasks on the farm?
– (0:59:32) Hydroponic farming?
– (1:05:07) Future at Blue River
– (1:09:01) Integrating with John Deere
– (1:17:57) Allocating space in new designs
– (1:22:38) Advice for a new graduate
– (1:27:46) Wrapping up
SOCIAL:
– Twitter: https://twitter.com/sense_think_act}
– Discourse: https://discourse.ros.org/c/sensethinkact/71}
  continue reading

41 episodes

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