Crop Protection

Syngenta CEO Identifies Five AI Trends Shaping Agriculture in 2025

Jeff Rowe, CEO of Syngenta Group, outlined five key AI trends expected to transform agriculture by 2025 during the World Economic Forum.
Image provided by Syngenta Group.

Key Takeaways

  • AI Revolution in Agriculture: Jeff Rowe, CEO of Syngenta Group, outlined five key AI trends expected to transform agriculture by 2025 during the World Economic Forum (WEF).
  • Focus Areas: These trends encompass AI in R&D, field applications, farmer decision-making tools, pest management, and supply chain optimization.
  • Economic Potential: The global AgriTech market is projected to grow from $24.19 billion in 2023 to $54.17 billion by 2029, with AI in agriculture estimated to reach $4.7 billion by 2028.
  • Collaboration Emphasis: Panelists highlighted the need for partnerships among policymakers, businesses, and stakeholders to address financial and technical barriers to adopting AI in agriculture.
  • Sustainability and Technology: Integration of regenerative practices and digital tools is seen as key to improving agricultural productivity and tackling climate change.

What AI Trends Will Shape Agriculture in 2025?

At a panel discussion titled “From Soil to Silicon: How Advanced Technologies are Cultivating the Future of Sustainable Ag” hosted by Bloomberg House during WEF, Syngenta (Profile) CEO Jeff Rowe identified five key trends in AI that will redefine agriculture:

  1. AI in R&D: Machine learning models are now utilized in all Syngenta research projects to identify novel active ingredients for both synthetic and biological products.
  2. AI in the Field: Advanced AI-driven systems for monitoring and predicting soil health are creating high-resolution soil nutrient, texture, and carbon maps for growers.
  3. AI in Farmers’ Hands: Generative AI (GenAI)-enabled tools are acting as digital agronomic advisors, assisting farmers in optimizing crop management practices.
  4. AI in Pest Management: Precision agriculture solutions, driven by AI, are targeting crop protection products to infested areas, reducing unnecessary usage.
  5. AI in Supply Chain Management: Demand forecasting and market prediction powered by AI are optimizing logistics, reducing overproduction, and minimizing waste.

How Are AI and Sustainability Driving Agricultural Transformation?

During the panel, the CEO of Syngenta stated, “AI and digital tools are revolutionizing farming and sustainable practices. Advanced monitoring systems integrate satellite imagery, drones, and soil maps to enable precise crop management. Predictive analytics, powered by AI and machine learning, provide farmers with actionable insights, transforming reactive practices into proactive strategies.”

Suzanne DiBianca, Executive Vice President and Chief Impact Officer at Salesforce, joined Rowe in emphasizing the importance of collaboration among policymakers, businesses, and stakeholders to overcome financial and technical challenges faced by farmers adopting technology.


What Does the Future Hold for Digital Agriculture?

Panelists concluded that combining digital tools with sustainable farming practices can address climate change while improving productivity. By integrating regenerative agricultural methods with cutting-edge technology, the sector aims to create a resilient global food system that supports both economic growth and environmental sustainability.

administrator
As a dedicated journalist and entrepreneur, I helm iGrow News, a pioneering media platform focused on the evolving landscape of Agriculture Technology. With a deep-seated passion for uncovering the latest developments and trends within the agtech sector, my mission is to deliver insightful, unbiased news and analysis. Through iGrow News, I aim to empower industry professionals, enthusiasts, and the broader public with knowledge and understanding of technological advancements that shape modern agriculture. You can follow me on LinkedIn & Twitter.

6 Comments

Leave a Reply