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The integration of artificial intelligence in agriculture is paving the way for innovative smart breeding techniques. These advancements aim to create high-yield, climate-resilient crops, which are essential for ensuring global food security amid environmental challenges. The recent 2025 Seed Congress showcased over 40 exhibitors demonstrating how AI is transforming traditional breeding into precision agriculture.
Experts highlighted the shift from experience-driven to data-driven breeding, emphasizing the role of AI in optimizing crop development processes. Notable achievements include the use of AI for hybrid rice development and the launch of the 'Fengdeng' AI platform, which provides valuable insights for farmers and researchers. Despite these advancements, challenges such as data-sharing infrastructure and commercialization still need to be addressed to fully realize the potential of smart breeding.
• AI-driven breeding is transforming traditional agriculture into precision agriculture.
• The 'Fengdeng' AI platform empowers farmers with actionable insights.
Smart breeding utilizes AI to enhance traditional breeding methods, improving crop resilience and yield.
This technology predicts high-yield crop combinations, streamlining the breeding process before field trials.
This system allows real-time data collection on crop health, enabling timely interventions in breeding.
This company employs AI-driven systems to monitor crop health and optimize breeding processes.
The laboratory developed the 'Fengdeng' AI platform, providing insights for breeding and cultivation.
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