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Innehåll tillhandahållet av Tim Hammerich. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Tim Hammerich eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.
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FoA 408: The Future of Precision Agriculture With Dr. Steve Shirtliffe and Dr. Preston Sorenson

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Manage episode 409057353 series 2394879
Innehåll tillhandahållet av Tim Hammerich. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Tim Hammerich eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Variable Rate done RIGHT with SWAT MAPS: https://swatmaps.com/

University of Saskatchewan Precision Agriculture Certificate Program: https://admissions.usask.ca/precision-agriculture.php

I wanted to have a conversation about cutting edge tools and the future of digital agriculture, and I definitely think we succeeded in bringing that to you today. Both Steve and Preston are thinking deeply about the best ways to collect and analyze data, think about variability, and utilize this deeper understanding for real world outcomes on farms.

Dr. Preston Sorenson is a research associate in the department of soil science at the University of Saskatchewan. His work focuses on mapping soil properties using a range of data sources, usually from satellite imagery and elevation data. He also works a lot with soil sensor systems, in particular for rapid carbon measurements. And carbon measurement is something we definitely get into today.

Dr. Steve Shirtliffe is a professor also at the University of Saskatchewan but in the department of plant sciences. As I mentioned in the opener, he pivoted his career about seven years ago from his focus in agronomy to now working in the area broadly referred to as digital agriculture. His focus is on crop imaging and understanding in-field spatial variability and what causes it.

Steve and Preston talk about digital tools, ag data, artificial intelligence, and what the future might hold for precision agriculture.

  continue reading

390 episoder

Artwork
iconDela
 
Manage episode 409057353 series 2394879
Innehåll tillhandahållet av Tim Hammerich. Allt poddinnehåll inklusive avsnitt, grafik och podcastbeskrivningar laddas upp och tillhandahålls direkt av Tim Hammerich eller deras podcastplattformspartner. Om du tror att någon använder ditt upphovsrättsskyddade verk utan din tillåtelse kan du följa processen som beskrivs här https://sv.player.fm/legal.

Variable Rate done RIGHT with SWAT MAPS: https://swatmaps.com/

University of Saskatchewan Precision Agriculture Certificate Program: https://admissions.usask.ca/precision-agriculture.php

I wanted to have a conversation about cutting edge tools and the future of digital agriculture, and I definitely think we succeeded in bringing that to you today. Both Steve and Preston are thinking deeply about the best ways to collect and analyze data, think about variability, and utilize this deeper understanding for real world outcomes on farms.

Dr. Preston Sorenson is a research associate in the department of soil science at the University of Saskatchewan. His work focuses on mapping soil properties using a range of data sources, usually from satellite imagery and elevation data. He also works a lot with soil sensor systems, in particular for rapid carbon measurements. And carbon measurement is something we definitely get into today.

Dr. Steve Shirtliffe is a professor also at the University of Saskatchewan but in the department of plant sciences. As I mentioned in the opener, he pivoted his career about seven years ago from his focus in agronomy to now working in the area broadly referred to as digital agriculture. His focus is on crop imaging and understanding in-field spatial variability and what causes it.

Steve and Preston talk about digital tools, ag data, artificial intelligence, and what the future might hold for precision agriculture.

  continue reading

390 episoder

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