After NetEase, Ali Yun combined artificial intelligence technology with pig breeding.

NetEase Ding Lei put into practice the development of pig farming has become a beautiful talk in the industry. In the past eight years, NetEase Company has invested hundreds of millions of yuan to build an ecological farm. After consumers buy pork, they can also find out how the pig is raised on the Internet. The Internet and pig farming, these two unrelated industries have become one.

I heard that although "NetEase raising pigs" has been laughed at for seven years, NetEase attaches great importance to the project of raising pigs. NetEase's agricultural department is on an equal footing with NetEase's mailbox, NetEase's portal, and NetEase's three core departments.

Sure enough, life can always witness "see you for a long time". Now, in addition to the "people are not as good as cats, people are not as good as dogs" series, there is another "people are not as good as pigs" series!

On June 7, Aliyun unveiled ET Agricultural brain at the Shanghai Summit of Yunqi Conference, which combines artificial intelligence technology with pig breeding.

The pig stood on Xinfengkou again this time.

According to Hu Xiaoming, president of Aliyun, through the improvement of artificial intelligence technology, every year, pig enterprises and farmers can help each sow give birth to three more babies each year, while the mortality rate is reduced by 3%. "in the Special Drive Group, we have established a file for each pig, including breed, body shape, food intake, exercise, etc., including our overall analysis of the pig, so that the combination of new technologies will improve the efficiency of agriculture."

At the same time, artificial intelligence can distinguish the state of pigs by different pig calls. In the past, the information was handwritten and time-consuming, but now every piglet has an ID ID card as soon as it is born. The body shape data of pigs can be collected automatically through the camera, which saves a lot of manpower and material resources. "in spring and summer, we will drive pigs outdoors and let them exercise more to strengthen the system. Through the ET agricultural brain to record the pig movement distance, time and frequency, if not up to the standard, all add the test. " Su Zhipeng, a pig farmer, said.

The special drive pig farm is dotted with ET agricultural brain blessing cameras, which can not only automatically collect pig shape data, but also record the movement distance, time and frequency of each pig. Pigs that do not reach the standard of exercise will be driven out of the outdoor "additional training" by breeders, which is the origin of 200km pigs. The problems of in-depth expansion, cost reduction and efficiency of large-scale artificial breeding have been solved, and a more intelligent and refined breeding model has been formed. this year, the annual production capacity of sows is expected to increase by 3%, and the death rate will be reduced by about 3%.

Through image recognition technology, each pig has its own file, including breed, age, body weight, eating, exercise frequency, trajectory, immunity and so on. These data can be used to analyze behavior characteristics, feed ratio and so on. At the same time, combined with acoustic characteristics and infrared temperature measurement technology, the disease can be judged by the pig's body temperature, cough, cry and so on, and the epidemic situation can be warned.

Hu Xiaoming said, "it is possible to name a pig in the future, 200 km pig, 300 km pig, the price is not the same." It will certainly bring more health elements behind it. "

In the future, every piece of pork will be labeled with a data tag to tell consumers how many kilometers the pig ran from its birth to the last table.

Generally speaking, AI pig raising is a reliable thing, and the current AI technology also has certain practicability.