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Join senior leaders from across the University of California (UC) system to demystify how companies can access California’s agricultural innovation engine – from research and field trials to validation and commercialization. Find out more →
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Scaled technology adoption at the farm level remains one of the biggest challenges - and opportunities - in modern agriculture. This panel explores barriers and enablers.
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This session will explore the challenges organizations face when building enterprise‑scale GIS capabilities and the emerging innovations such as GeoAI that promise to reshape the future of farming. Find out more →
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In a market defined by rapid consolidation and shifting valuations, this session offers a candid look into the strategic interest from major ag players and what it really takes to navigate M&A and successful exits in today’s agriculture landscape.
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In today’s volatile agricultural market, managing liquidity and working capital is more critical and complex than ever. Aimed at farmers, agri-businesses and tech innovators, this session will explore how digital finance is connecting buyers and suppliers to transform the agricultural value chain.
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The performance of biologicals must be repeatable at scale. This breakout will discuss how discovery, engineering, formulation, and deployment strategies are evolving to support adoption. Find out more →
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This session will cover the fundamentals of Amazon Leo satellite technology, address critical connectivity challenges facing modern agriculture, and showcase a real-world example through Connected Farms. Find out more →
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Building on KPMG’s research paper, this session will examine opportunities for organizations to shift thinking beyond predictable partners - actively seeking collaborators that will join them in exploring new paradigms to unlock business growth and enhance the resilience of food systems. Find out more →
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This session will unpack the real near‑term implications for procurement and ag retail - from data rights and supply‑chain transparency to the rising influence of advanced analytics.
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