At the end of last year, “a screen that changes destiny” became a topic of screen brushing.
At the time, supporters and opponents listed many points of view, but we can probably admit that these discussions were based on the premise that the combination of new technology and rural life has begun to trigger some changes.
If you look at China’s most vast market, you will find a variety of services from agriculture to rural markets, and then to the macro trend of rural labor transfer. There are too many needs that can be filled by scientific and technological forces.
However, the objective situation of the relative lack of scientific and technological talent resources in the rural market has made intelligentization a rigid demand that is different from the urban society to some extent.
If we look back to 2018, we will find that starting from the second half of the year, technology giants have deployed AI to enter agriculture, and various emerging products and services of AI medical care and AI education have begun to move towards this new experimental field in the countryside.
The story of AI and rural areas is rapidly heating up in a short period of time. But behind the lively layout, we will also find some clear bottlenecks, lying between the rural market and the imagination of AI.
Bypassing the controversy over the screen, more AI stories are being staged in the fields of mountain villages. Regardless of whether 2019 can be called the first year of “AI + rural”, at least this year, AI stories in the field will inevitably rise by an amazing percentage.
Let us recall the ways in which AI has completed the task of going to the countryside and entering the village until today.
The agricultural waltz of tech giants
The core goal of AI entering the village is of course to prove that it can make achievements in the primary industry.
The so-called AI agriculture is easy to understand in terms of technical logic, that is, using the physical recognition and machine vision capabilities brought by AI, combined with data analysis technology, to re-optimize a large number of processes in agricultural production, so as to intelligently improve agricultural production efficiency and optimize quality of agricultural products.
In theory, this logic can not only grow grain and vegetables, but also raise pigs and geese. But it’s not easy to actually run it. On the one hand, agricultural data is relatively scarce and the degree of standardization is low. On the other hand, the relevant technical equipment is almost blank. The AI agricultural proposition is not only a problem of algorithms and data, but also a test of engineering ability and hardware manufacturing ability.
In the eyes of AI holders, the technology giants represented by BAT, since they want to enter the industrial AI and industrial Internet, agriculture is an option that cannot be avoided. Its huge market potential and social value are cakes that technology companies cannot give up. In 2018, when industrial AI was fully launched, agricultural AI also started its own story.
The first to do it was Ali. On June 7, 2018, Alibaba Cloud released the ET Agricultural Brain at the Yunqi Conference Shanghai Summit. Through the combination of technologies such as digital file generation, intelligent agricultural data analysis, and agricultural product traceability, it began to bring AI solutions to agriculture.
In the following six months, both Tencent and JD.com announced their own AI agriculture plans. Some sources believe that Baidu, which is good at AI, is already on the way.
in summary,AI agricultural propositions mainly take two paths now: AI farming and AI planting.
When it comes to breeding technology, we Chinese people’s housekeeping skills are pig raising. Many people may not realize that on the road of large-scale and technical pig raising, the Chinese have definitely written a magnificent epic. It is also because of the high degree of scale and standardization of the pig raising business, which is very sensitive to new technologies. The technology giants play AI+ farming, and nine times out of ten they start with pigs.
Ali’s ET agricultural brain uses the AI camera and data analysis capabilities supported by machine vision to observe the growth data of pigs, so as to achieve the survival of the fittest; it also brings voiceprint recognition and infrared temperature measurement to the pig farm, through the pig’s body temperature AI predicts the physical condition of pigs with the voice, and finally achieves the effect of improving the sow’s ability to give birth and reducing the mortality rate.
In November last year, JD Digits also began to depict the romance between AI and pigs. In addition to the access to AI cameras and data intelligence systems, JD.com’s plan also added IoT systems, as well as self-developed breeding inspection robots, feeding robots, etc., and adopted the new “pig face recognition” technology.
There is reason to believe that the nextThere will be more technology companies to start AI pig breeding career.
andAI also has its own set in growing melons and vegetables. Ali’s ET agricultural brain has successively completed cooperation cases on melon and lettuce. In December last year, the “Cucumber Planting” of the Tencent AI lab team won the first place in the “AI strategy” single item and the second place in the total score in the International Artificial Intelligence Greenhouse Challenge (Autonomous Greenhouse Challenge). This is also considered by the outside world to be the start of Tencent’s foray into AI agriculture.
The special feature of Tencent’s “Growing Cucumbers” is that through the reinforcement learning algorithm, the expert knowledge system is sneaked into the simulator, so that the intelligent body can effectively learn the thinking mode of human experts, so as to return to the actual planting and improve the yield of cucumbers. , and the cost of the sensor is compressed, which improves the practicability of the technology.
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