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Revolutionizing Food Security at the 2025 Seed Congress

AI-powered Smart Breeding Revolutionizes Agriculture

The fusion of artificial intelligence (AI) and agriculture is transforming the future of food. Smart breeding, powered by AI, unlocks the potential to develop high-yield, climate-resilient "super crops" that could redefine global food security in an era of environmental uncertainty.

The 2025 Seed Congress, held in Sanya, China, showcased the transition of AI-driven breeding from theory to practice. Over 40 exhibitors displayed cutting-edge technologies and flagship crop varieties, highlighting the latest breakthroughs in AI-powered genomic analysis and cloud-based farm monitoring systems.

Experts emphasized that smart breeding is converting traditional methods into precision agriculture, offering solutions to overcome seed resource bottlenecks, enhance self-reliance in the seed industry, and secure China a strategic position in the global seed market.

Li Jiayang, an academician at the Chinese Academy of Sciences (CAS), introduced the concept of "intelligent creation of intelligent varieties," emphasizing the potential of integrating AI, biotechnology, and information technology to develop crops that autonomously adapt to environmental challenges.

Qian Qian, another CAS academician, highlighted the complexity of crop traits, stating that understanding the relationship between genes and traits requires computational power and advanced algorithms. Unlike traditional small-scale breeding, smart breeding adopts an industrialized approach, pooling vast resources to integrate superior traits efficiently.

AI-driven breeding is already delivering results. China National Seed Group uses a cloud-based system to remotely monitor fields, collecting real-time data on crop health and growth, enabling scientists to address issues promptly and optimize breeding processes.

One notable breakthrough is in the field of hybrid rice development. Traditionally, breeders tested thousands of combinations to find a single superior hybrid. Now, AI-powered genomic analysis predicts high-yield combinations before field trials begin.

Another milestone is the launch of "Fengdeng," a seed-focused large language model developed by the Yazhou Bay National Laboratory in Sanya. This AI platform provides expert insights on breeding, cultivation, and industry trends, empowering farmers and researchers with actionable knowledge.

Despite these advancements, challenges remain. China's smart breeding sector still trails global seed giants in terms of data-sharing infrastructure and commercialization. Fragmented datasets limit AI's ability to predict and design superior crop varieties.

Qian Qian called for interdisciplinary collaboration among breeding institutions, AI researchers, and agribusinesses to drive innovations in smart breeding and accelerate the development of high-yield, high-quality, and climate-resilient "super varieties" crucial for global food security.

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6 Comments

Avatar of Africa

Africa

The reliance on big data and complex algorithms raises concerns about data privacy and security. Who will have access to this information?

Avatar of Muchacha

Muchacha

Integrating AI, biotechnology, and information technology to create "intelligent varieties" is a brilliant approach. It shows the power of interdisciplinary collaboration.

Avatar of Rotfront

Rotfront

This is incredible! AI is truly revolutionizing how we grow our food. It's essential to address food security, and this is a huge step in the right direction!

Avatar of Karamba

Karamba

We need to strike a balance between technological advancement and traditional farming practices. Both have a role to play in sustainable agriculture.

Avatar of Matzomaster

Matzomaster

It's important to consider the impact of AI-driven agriculture on soil health and overall ecosystem balance.

Avatar of Africa

Africa

The economic and social implications of AI-driven agriculture need careful consideration. Will it exacerbate existing inequalities?

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