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Data Science and Swine Production – A South African Perspective

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Manage episode 416789715 series 3572789
Content provided by Casey L. Bradley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Casey L. Bradley 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://player.fm/legal.

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Guest BiographyMeet our special guest, Liana Erasmus. With over 12 years in the agricultural sector, Liana is a seasoned biochemist from the University of Pretoria who has specialized in various domains, from crop technology to business development. Adept in SharePoint and Microsoft applications, she's leveraged her skills to enhance efficiency and drive innovation in animal feed & additives. Known for her relentless commitment to industry excellence, Liana is ever-eager to tackle new challenges and empower farmers through data-driven strategies.Episode Overview:Introduction- Discussion Points: The weight of data analytics, navigating regional input costs, governmental influences, and the educational fabric holding agriculture together.Segment 1: Data-Driven Agriculture- Importance of accurate data in determining additives, medications, and nutrient cycles.- Perils of overlooking variables like disease rates.Segment 2: South African Perspective- Volatile maize prices and their impact.- Importance of governmental and private sector collaboration for robust data.Segment 3: Science Meets Business- Why commercial viability is non-negotiable.- Education as the bridge between complexity and actionability.Segment 4: The Educational Pillar- The crucial role of education for a sustainable agricultural future.- Shaping the next generation through digestible, accessible learning.Closing Remarks- Science not just for academia, but for real-world, impactful application.- The emerging niche of consultancy blending data science with animal nutrition.Valued Insights Shared by LianaLiana emphasizes the dire need for organized and easily interpretable data. From material characteristics to region-specific elements like weather, these data points are crucial for proactive decision-making in the industry. Liana strongly recommends predictive analytics as a way to remain ahead of challenges, thus benefiting farmers and the industry at large.She also touches on the dangers of oversimplifying market analytics, advising against a single-dimensional approach that doesn't consider variables like disease or mortality rates. What's Next?Connect with Liana Erasmus through email at liana@agritistics.co.za. To know more about Swine Nutrition Management, check out www.swine.co.za or visit The Sunswine Group at www.thesunswinegroup.com.

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Connect with us on :
Instagram @therealp3_podcast
LinkedIn @The Real P3
Facebook @The Real P3
www.thesunswinegroup.com

  continue reading

134 episodes

Artwork
iconShare
 
Manage episode 416789715 series 3572789
Content provided by Casey L. Bradley. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Casey L. Bradley 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://player.fm/legal.

Send us a Text Message.

Guest BiographyMeet our special guest, Liana Erasmus. With over 12 years in the agricultural sector, Liana is a seasoned biochemist from the University of Pretoria who has specialized in various domains, from crop technology to business development. Adept in SharePoint and Microsoft applications, she's leveraged her skills to enhance efficiency and drive innovation in animal feed & additives. Known for her relentless commitment to industry excellence, Liana is ever-eager to tackle new challenges and empower farmers through data-driven strategies.Episode Overview:Introduction- Discussion Points: The weight of data analytics, navigating regional input costs, governmental influences, and the educational fabric holding agriculture together.Segment 1: Data-Driven Agriculture- Importance of accurate data in determining additives, medications, and nutrient cycles.- Perils of overlooking variables like disease rates.Segment 2: South African Perspective- Volatile maize prices and their impact.- Importance of governmental and private sector collaboration for robust data.Segment 3: Science Meets Business- Why commercial viability is non-negotiable.- Education as the bridge between complexity and actionability.Segment 4: The Educational Pillar- The crucial role of education for a sustainable agricultural future.- Shaping the next generation through digestible, accessible learning.Closing Remarks- Science not just for academia, but for real-world, impactful application.- The emerging niche of consultancy blending data science with animal nutrition.Valued Insights Shared by LianaLiana emphasizes the dire need for organized and easily interpretable data. From material characteristics to region-specific elements like weather, these data points are crucial for proactive decision-making in the industry. Liana strongly recommends predictive analytics as a way to remain ahead of challenges, thus benefiting farmers and the industry at large.She also touches on the dangers of oversimplifying market analytics, advising against a single-dimensional approach that doesn't consider variables like disease or mortality rates. What's Next?Connect with Liana Erasmus through email at liana@agritistics.co.za. To know more about Swine Nutrition Management, check out www.swine.co.za or visit The Sunswine Group at www.thesunswinegroup.com.

Support the Show.

Connect with us on :
Instagram @therealp3_podcast
LinkedIn @The Real P3
Facebook @The Real P3
www.thesunswinegroup.com

  continue reading

134 episodes

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