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Modern facility agriculture has been iteratively upgraded in the direction of intelligent development

With the continuous progress of science and technology, the agricultural field is also gradually ushering in the era of intelligence. Breeding work, in particular, has begun to develop iteratively in the direction of intelligence. Intelligent breeding uses advanced technologies such as artificial intelligence, big data and gene editing to accelerate the process of crop variety improvement.

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First, artificial intelligence plays a key role in the breeding process. By analyzing huge data sets, AI can identify the characteristics of good breeds and predict potential mating combinations. In this way, breeders can carry out more targeted breeding work, improve breeding efficiency and success rate.


Secondly, the application of big data makes the breeding work more accurate and comprehensive. Traditional breeding requires a lot of experimentation and observation, but now big data analytics can be used to collect and integrate all kinds of relevant data to accurately assess the performance and potential of the variety. This helps to screen potential candidates in advance, saving time and resources.

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Finally, breakthroughs in gene editing technology have opened up huge possibilities for breeding. With gene-editing technologies such as CRISPR-Cas9, breeders can directly modify the genomes of crops to quickly produce new varieties with desirable traits. This not only speeds up the breeding process, but also brings greater innovation space for breeding.


In short, the future breeding will develop iteratively in the direction of intelligence, and the application of advanced technologies such as artificial intelligence, big data and gene editing will greatly improve the breeding efficiency and success rate, and further promote the development of modern facility agriculture.

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