China is rapidly transitioning its agricultural sector to the Fourth Industrial Revolution, replacing the intuitive approach of plant breeders with end-to-end AI technologies.
A full-scale «phenotypic big data factory» has been deployed at the Tongzhou International Science and Technology Park, where approximately 70,000 corn plants are under 24/7 digital monitoring.
A complex of drones, optical lidars, thermal imagers, and compact wheeled robots scans crops in the field at a rate of up to 4,000 plants per hour.
The agreement between digital metrics and manual measurements exceeds 95%. This allows AI to translate crop characteristics into a digital language it understands, helping scientists accurately select hybrids with maximum yield and tolerance to dense planting.
Genetic Passports and Predictive Selection in Poultry Farming
In the livestock sector, manual selection of breeding stock has given way to early predictive analytics based on DNA technologies.
At Beijing Huadu Yukou Poultry‘s facilities, blood samples are taken from chicks immediately after hatching for analysis on specialized DNA chips.
Artificial intelligence instantly compares the obtained markers with a massive historical database of parent flocks and automatically generates a «digital passport» with a productivity forecast for the individual.
This allows the hidden genetic potential of future layers (egg production, weight, and shell strength) to be calculated long before the birds begin laying.
This approach has already led to the creation of commercial crosses that achieve a record-breaking 500 eggs in 700 days.
AI Breeding Studios and the Global Acceleration of Seed Production
The final link in the digital ecosystem of the agro-industrial complex is the intelligent platform Shannon Breeding Studio, powered by the large language model «Shannon.»
It eliminates the need for researchers to manually switch between dozens of databases and programs: now breeders only need to formulate the problem in plain English.
The AI independently extracts information, selects parental lines, and builds mathematical models, reducing the breeding cycle for new vegetable varieties from 5-6 to 2-3 years.
Furthermore, the AI studio completes a complex wheat breeding program, which previously required 10 months of manual expert work, in just half a month.
To scale up this experience, a large-scale Innovation Base is already being developed in China, which will provide the industry with collective computing power and molecular testing laboratories.
