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Getting Out of the Weeds with John Deere’s Revolutionary AI Technology

55:43
 
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Manage episode 365917925 series 2661101
EETech Media and All About Circuits에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 EETech Media and All About Circuits 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Imagine 1500 laptops strapped to a 120 foot (36 m) wide sprayer being pulled behind a tractor. That gives you a rough understanding of the compute power inside the John Deere See & SprayTM that targets herbicide to the weeds, not the crops. These might be “the smartest agricultural machines in the world,” says Chris Padwick, Director of Computer Vision and Machine Learning at Blue River Technology, a wholly owned subsidiary of John Deere.

Padwick was not looking to return to his agricultural roots, but in a “shields down” moment” he was approached by a startup, Blue River Technology. He recalls being “completely blown away” by what they were doing in computer vision.

After initially developing a product for lettuce thinning, Blue River pivoted to the problem of row crop weeding. In the US alone, the agricultural industry uses over 20 million gallons of herbicide annually, almost all of it through broadcast spreading across the entire field. Blue River set to work on changing the paradigm to only spray the weeds. According to Padwick, this “dot matrix printer for weeds” has the potential to “save 15 million gallons of herbicide” and “about a billion dollars.”

In this episode of the Moore’s Lobby podcast, Padwick takes us behind the scenes to discuss the challenges of data collection in the fields, image classification, the compute technology that drives these real-time systems, and much more. On this business side, he reflects on the 2017 acquisition by John Deere and how important that was in their development of products at scale that can operate in rugged environments for two decades.

“I feel like we're going to look back on farming in five or ten years and we're just going to be amazed…Precision spot spraying is going to be the way that people treat their crops going forward because it's going to allow them to save so much more chemical. And the sustainability in the environment is kind of unparalleled. So I really feel we're kind of at that inflection point for agriculture.”

So, listen in on this fun interview as Padwick describes:

- His graduate research into Big Bang cosmology and background radiation

- Why he left engineering as an undergrad—seriously, universities we have to fix this outdated solution to engineering education!

- Blue River’s global operations to collect crop and weed images to drive continuous improvement

  continue reading

98 에피소드

Artwork
icon공유
 
Manage episode 365917925 series 2661101
EETech Media and All About Circuits에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 EETech Media and All About Circuits 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Imagine 1500 laptops strapped to a 120 foot (36 m) wide sprayer being pulled behind a tractor. That gives you a rough understanding of the compute power inside the John Deere See & SprayTM that targets herbicide to the weeds, not the crops. These might be “the smartest agricultural machines in the world,” says Chris Padwick, Director of Computer Vision and Machine Learning at Blue River Technology, a wholly owned subsidiary of John Deere.

Padwick was not looking to return to his agricultural roots, but in a “shields down” moment” he was approached by a startup, Blue River Technology. He recalls being “completely blown away” by what they were doing in computer vision.

After initially developing a product for lettuce thinning, Blue River pivoted to the problem of row crop weeding. In the US alone, the agricultural industry uses over 20 million gallons of herbicide annually, almost all of it through broadcast spreading across the entire field. Blue River set to work on changing the paradigm to only spray the weeds. According to Padwick, this “dot matrix printer for weeds” has the potential to “save 15 million gallons of herbicide” and “about a billion dollars.”

In this episode of the Moore’s Lobby podcast, Padwick takes us behind the scenes to discuss the challenges of data collection in the fields, image classification, the compute technology that drives these real-time systems, and much more. On this business side, he reflects on the 2017 acquisition by John Deere and how important that was in their development of products at scale that can operate in rugged environments for two decades.

“I feel like we're going to look back on farming in five or ten years and we're just going to be amazed…Precision spot spraying is going to be the way that people treat their crops going forward because it's going to allow them to save so much more chemical. And the sustainability in the environment is kind of unparalleled. So I really feel we're kind of at that inflection point for agriculture.”

So, listen in on this fun interview as Padwick describes:

- His graduate research into Big Bang cosmology and background radiation

- Why he left engineering as an undergrad—seriously, universities we have to fix this outdated solution to engineering education!

- Blue River’s global operations to collect crop and weed images to drive continuous improvement

  continue reading

98 에피소드

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