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VIDEO INTERVIEW: Sarah Adams, GALLAGHER ANIMAL MANAGEMENT
Talking virtual fencing and animal management with Sarah Adams, General Manager of Strategy and New Ventures at GALLAGER ANIMAL MANAGEMENT.
VIDEO INTERVIEW: Stephen Cisneros, Executive Associate Director, TEXAS A&M AGRILIFE RESEARCH
VIDEO INTERVIEW: Talking stakeholder collaboration and technological advancements in animal agriculture with Stephen Cisneros from TEXAS A&M AGRILIFE RESEARCH
INTERVIEW: Sylvia Wulf, BIO
INTERVIEW: Discussing the opportunities and challenges of gene editing for livestock with Sylvia Wulf, Executive Vice President of BIO

AgTech Navigator News

  • One of the fastest growing AI companies Palantir Technologies is untangling supply chain messiness, giving procurer and food producers actionable insight to drive their businesses.
  • Bayer is developing new crop hybrids and digital farming services to help Mexican farmers make the most out of their resources in the face of climate change.
  • Amsterdam-based Source.ag has raised $17.5 million in Series B funding to expand its AI platform for Controlled Environment Agriculture (CEA), with participation from Astanor Ventures, Enza Zaden, and Harvest House. The platform aids greenhouse operators by optimizing yields and reducing reliance on expert labour, already serving over 300 greenhouses across 18 countries. This investment highlights the demand for AI solutions that enhance grower expertise rather than replace it and supports Source.ag's goal to integrate seamlessly with grower systems and expand into new crops. The company aims to use AI as a force multiplier to streamline operations and help growers focus on strategic decisions.
  • Agentic AI is revolutionising agrifood businesses by transitioning them from reactive to proactive decision-making amid climate and data complexity challenges. ClimateAi, leveraging multi-agent systems built on LLMs, uses agentic AI to assist in intelligent automation, data synthesis, and scenario analysis, ensuring human oversight and transparency. Key adoption barriers include data quality and cultural resistance, but agentic AI is expected to integrate as a standard layer in digital farming platforms, enhancing decision-making and operational efficiency.