At the World Economic Forum (WEF), Jeff Rowe, CEO of Syngenta Group, outlined five transformative AI trends poised to redefine agriculture in 2025. Speaking at Bloomberg House during a panel discussion titled “From Soil to Silicon: How Advanced Technologies are Cultivating the Future of Sustainable Ag,” Rowe emphasized that 2025 will be a landmark year for the integration of AI into agricultural practices, from research labs to farming fields.
The five key AI trends in agriculture
- AI in research and development (R&D): Syngenta’s R&D now fully integrates machine learning models to discover novel active ingredients for both synthetic and biological products, accelerating innovation in crop protection and sustainability.
- AI in field monitoring: Advanced AI-driven systems are enabling precise monitoring and prediction of soil health. These tools provide growers with high-resolution maps of soil nutrients, texture, and carbon content, revolutionizing soil management practices.
- AI in farmers’ hands: Generative AI-powered digital tools are acting as virtual agronomic advisors. These tools assist farmers in optimizing crop management practices by offering actionable insights tailored to their specific needs.
- AI in pest management: Precision agriculture, powered by AI, is enhancing pest control by targeting crop protection solutions only to affected areas. This data-driven approach minimizes chemical usage and supports environmental sustainability.
- AI in supply chain management
AI is improving supply chain efficiency through advanced demand forecasting and market prediction. By reducing overproduction and waste, AI optimizes logistics, ultimately benefiting farmers and consumers alike.
AI driving sustainable farming
“AI and digital tools are revolutionizing farming and sustainable practices,” said Jeff Rowe. “Advanced monitoring systems, integrating satellite imagery, drones, and soil maps, enable precise crop management. Predictive analytics powered by AI turn reactive practices into proactive strategies, helping farmers adapt to challenges with precision.”
The economic potential of AI in agriculture
The global AgriTech market, valued at $24.19 billion in 2023, is projected to grow to $54.17 billion by 2029, according to AgriTech Market Analysis. Similarly, the market for AI in agriculture is expected to expand from $1.7 billion in 2023 to $4.7 billion by 2028. A WEF report further highlights that digital agriculture could boost agricultural GDP in low- and middle-income countries by $450 billion annually.
Collaboration for broader adoption
During the discussion, Suzanne DiBianca, Executive Vice President and Chief Impact Officer at Salesforce, joined Rowe in stressing the importance of collaboration among policymakers, businesses, and other stakeholders to reduce financial and technical barriers for farmers.
“The synergy between digital technologies and sustainable farming empowers farmers to tackle climate change while improving productivity,” DiBianca said. “Integrating regenerative practices with cutting-edge technology is paving the way for a resilient food system that benefits both people and the planet.”
A path to a sustainable future
As the agricultural sector embraces AI, these innovations are expected to create a more sustainable and efficient food system. The combination of advanced technology and regenerative farming practices holds the promise of addressing global challenges, including food security and climate change, while driving economic growth across the globe.
