标签归档 苏州桑拿

Tongliang: 6000 acres of cherry blossoms.

At present, in Shuangshan Town, Tongliang District, 6,000 mu of cherry flowers have entered the full bloom stage, which not only attracts tourists, but also breeds new hopes for villagers to increase production and harvest this year.

Tongliang: 6,000 mu of cherry blossoms 1
Tongliang: 6,000 mu of cherry blossoms 2

Walking into Jianxin Village, Shuangshan Town, Tongliang District, looking around, patches of cherry flowers stretch from the foot of the mountain to the top of the mountain, clusters and clusters, densely covered with branches, like white snow, beautiful. Visitors who come to enjoy the flowers stroll along the path among the flowers, breathing the fragrant fragrance and enjoying the beautiful scenery in spring.

Tongliang: 6,000 mu of cherry blossoms 3
Tongliang: 6,000 mu of cherry blossoms 4

Shuangshan Town, Tongliang District is known as the hometown of cherries, and it is a well-known "hometown of small fruits". In recent years, the local cherry and other fruits have been planted in an area of more than 10 thousand mu, among which Jianxin Village is the core area of cherry planting, with more than 10 varieties such as white cherry, cinnabar cherry, Chinese red cherry and black pearl cherry in the early, middle and late days, and the flower viewing period will last until the middle and late March. In recent years, with the flower viewing economy as the fulcrum, the local area has promoted the combination boxing of rural festivals, recommended double-mountain cherries and derivative products, promoted people’s income and helped rural revitalization.

Tongliang: 6,000 mu of cherry blossoms 5
Tongliang: 6,000 acres of cherry blossoms 6

(The first eye-Chongqing Radio and Television Special Reporter Wang Yang Zhou Zhenyu Editor Xiang Wei)

American scholars have found that Chinese culture contains five ways to govern the country.

Source: China Daily China Watch Think Tank

Introduction: From ancient times to the present, Chinese civilization has learned from others and nurtured excellent values that transcend history and keep pace with the times. Chinese culture pays attention to ideological integration, self-governance, inheritance and reference, seeking truth from facts, beauty and beauty, and integrates these elements into the way of governing the country. The rise of China will not pose a threat to other countries. On the contrary, it will promote broader security, promote greater development and help all mankind create a better future.

Author: Joseph Gregory Mahoney

(Josef Gregory Mahoney)

Executive Director, International Center for Political Studies, East China Normal University

Deputy Editor-in-Chief of China Journal of Political Science.

No civilization or culture in the world can draw nutrition from its own history completely; None of them can make progress completely according to their own ideas; No one can fully release the creative potential of the whole society and achieve complete social justice.

Marxist view of history holds that progress is achieved by actively solving contradictions. Resolving conflicts can produce the result of promoting progress, and to achieve social progress, we must first promote human liberation and social justice. However, social progress does not mean that the past history can be erased or forgotten; On the contrary, there are some ancient values that can transcend history. In China, the concepts of "harmony" and "great harmony" are such values, which are essentially interlinked with the concepts of modern socialism and communism. Driven by the concept of good governance, these traditional Chinese civilizations and cultural values are also advancing with the times.

One of the ways of the continuous development of these values is mutual integration, which has long been a feature of China’s traditional thought and Marxism’s China-learning from each other’s strengths and adapting to changes. To some extent, this explains why China’s Marxism not only emphasizes Confucian concepts such as "well-off", but also advocates the Taoist principle of harmonious coexistence between man and nature, and even opens the door to all outstanding achievements of western civilization and other civilizations in the past and present.

Image source: China Daily

From this, we can sum up five key experiences related to governance in the history of China.

The first lesson: ideological integration

China is the first country in the world to create a similar modern national model, which started in the Qin Dynasty and accelerated to maturity in the Han Dynasty. During the Han Dynasty, China integrated the legalist thoughts of the Qin Dynasty with Confucianism, and established a professional national system. The most important thing was to attach importance to good governance and the rule of law. These achievements predate other civilizations and countries by hundreds or even thousands of years. In short, whether as a civilization or as a national system, China has created a national culture to protect itself from disputes over the excessive expansion of the empire.

The second experience: self-governance

Mind your own business, or you risk being ruled by others. In this regard, it is an eternal theme to establish a self-governance system, constantly promote self-improvement, and even carry out radical self-revolution when necessary, but it is often a difficult problem. It is unwise to try to rule others, it will only erode your self-governance ability, thus endangering your own sovereignty and security.

Indeed, throughout the history of imperialism, have we not seen such lessons again and again? Moreover, we can draw another conclusion from the history of imperialist development: aggression and conquest of others often rely on technological innovation, such as a new weapon or new tactics, rather than China’s emphasis on governance innovation since ancient times. For example, Alexander the Great, the ancient Macedonian king, relied on his father Philip II’s powerful military power to March eastward to India, but he could not rule and control all the territories he conquered.

At a more fundamental level, why are imperialist countries, whether it is the ancient Roman Empire, modern Britain or modern America, ultimately doomed to decline? The answer is: on the one hand, they have never mastered the art of self-governance-they can’t even manage themselves well, let alone others. On the other hand, their motivation to control, exploit and even plunder others is often to make up for the defects of domestic self-governance and externalize their internal failures to others. For example, the concept of protecting private property rights is deified. However, in the "zero-sum" game environment, it is this "golden rule" that leads to the fundamental inequality between people becoming the norm.

Image source: Xinhua News Agency

The third experience: inheritance and reference.

We must learn from our own history and culture, otherwise we may lose ourselves completely. As Okakura Tenjin, a Japanese art critic and author of The Book of Tea, warned, since the Meiji Restoration in the late 19th century, Japan has hastily embarked on the road of total westernization. At the same time of comprehensive modernization and transformation, it has almost completely abandoned its traditional values and culture, leaving only a superficial thing.

Countries should base their own development on their own culture and values, otherwise they may, like Japan, first repeat the mistakes of western imperialist countries’ history of expansion and aggression, and then, when a new era comes, they will be unable to carry out reforms to meet new needs and fall into the middle-income trap and security trap again.

In addition, many problems in today’s era, such as climate change, pandemic of new infectious diseases and other increasingly severe survival risks, are caused by some wrong values and behaviors. If they are not screened, some countries may easily get caught up in them. Or they may wander around for decades in the post-colonial era, unable to express their true identity or build a truly effective governance system for themselves, because they don’t really know who they are and where they come from, and they are still vulnerable to more powerful external forces, including former colonists. They will cultivate a sense of insecurity in these countries and use this sense of insecurity to achieve the goal of continuing to control them.

At the same time, countries must learn from others and share what they have learned. China learned a lot from Marxism, Leninism and the so-called Fordism, and benefited a lot from the Enlightenment, the industrial revolution and even the development history of the global capitalist economy. But the most important thing is to treat these past experiences and lessons with a rational and dialectical attitude, put them in an appropriate position and background, and take the essence and discard the dross.

Image source: China Daily

Article 4 Experience: Seeking truth from facts

No matter what role culture and values can play in an ideal state, no matter what lessons we learn from the past, the Chinese governance model has a law that transcends history: everything must start from the material foundation. Material determines consciousness and foundation determines architecture, which is an important principle of Marxism and the first lesson I learned when I came to work in China in 2010. What you see, hear, say and do should be consistent with the actual situation. In this regard, the development and progress of China’s governance model, both domestically and internationally, both in the past and now, have confirmed the correctness of this sentence.

Article 5 Experience: Beauty and Beauty Together

A rising and well-governed China is not a threat to other countries, but the opposite. The stronger and more efficient China becomes, the more it can reflect on its own historical experience, the more it can understand its own limitations, the more it can embody the deep-rooted cultural value of good governance, and the more it can treat other countries cautiously and support their progress as much as possible, because only in this way can it ensure wider security and greater development and create a common future for all mankind. In the past ten years, we have seen such a trend in the rapid development of the "the belt and road initiative" initiative, which is the only logical way forward for a country like China that emphasizes good governance.

Image source: China Daily

The best domestic documentary this year tells a story about baseball.

Wen | Ai Jiangtao

A few days ago, when I saw this film in the cinema, I didn’t see it as a documentary at first. After watching it for more than ten minutes, I realized that it was a documentary. After watching it, I found it was like a feature film. Director Xu Huijing’s later explanation relieved me: "I’ve always wanted to shoot a documentary in the form of a feature film." Different from the traditional documentary style, the director adopts multi-camera mode and tries to tell a more three-dimensional story-Under the leadership of Sun Lingfeng, the captain of the former Chinese baseball team and the founder of the strong baseball base, a group of unfortunate children from marginal broken families all over the country went to the United States to participate in the competition through training and changed their lives little by little.

Unlike many sports movies, the core of this story, as Sun Lingfeng said,Not that they chose baseball, but that baseball chose them.Sun Lingfeng told me that after being the captain of the Chinese baseball team for 15 years and the coach of the Jiangsu baseball team for a while, he had reached the ceiling in his original position and wanted to do something really valuable, cultivate children according to his own set of ideas and change the baseball ecology that few people in China care about. The criteria for his selection of players are simple and peculiar: 1. Being poor enough; 2. Good health; 3. There is no hereditary disease in the family.

The tension of the film comes from the contrast, on the one hand, children from poor families, and on the other hand, baseball, which has always been regarded as a middle-class sport. For these children, everything is lucky enough and strange enough.

In October 2017, when this documentary entered the filming, the strong base was established for more than two years. At the beginning of the film, the 10-year-old Xiao Shuang followed Erbo to his father’s grave, and they walked on the country road. Erbo told him to practice with the coach and never come back when he went out. Xiaoshuang came from rural Hebei. His father died of illness before he was born, and his mother chose to leave home when he was a few months old. Xiao Shuang was supposed to be given away, but people thought he was too thin and chose his brother. The small pair in the camera is quiet and restrained, and cries easily. Xu Huijing soon noticed this sad-looking child. When everyone was fighting, he was quietly playing with a little dinosaur in the corner.

Another protagonist of the film was careless. He was 11 years old when he started shooting. Just two days after he entered the base, he turned the place upside down. Like Xiao Shuang, Xiao Shuang doesn’t have a complete home. His father works outside all the year round. When he was a few months old, his mother left home after a fight with his father. But what he showed was recklessness and bravado: he didn’t wait in line for dinner, teased other players with somersaults, couldn’t walk in line, liked to show off how strong he was and how to scare off older children with a knife. The sloppy appearance made Xu Huijing a little excited. He felt that this story had become a protagonist who could string together other characters.

In this way, these children from troubled families met baseball. The daily training of the team is mainly handled by Sun Lingfeng’s master Zhang Jinxin. The boy’s "master", who was almost 70 years old at that time, was a legendary baseball coach in China. He was the president of Fengtai baseball school. He has been engaged in baseball training for more than 40 years and led the China junior baseball team to win four world championships. More than half of the players of China baseball national team have been trained by him. Teacher Guo Zhongjian is responsible for children’s study and daily management. Guo Zhongjian graduated from the Department of Civil Engineering of Tsinghua University. He was the president of Tsinghua University Baseball and Softball Association and was a volunteer at the base. In Xu Huijing’s words,These three men, touts are like grandfathers, Sun Lingfeng is like fathers, and Guo Zhongjian is more like mothers.

The rules of the baseball game are very trivial, and the technical and tactical requirements are also high. At the baseball base, it took Mr. Chloe Wang half an hour to let me understand the rules of the game roughly. To put it simply, the baseball game is divided into nine innings, with nine players on each side. In the game, nine members of the defense team played together, with the pitcher pitching at the pitcher’s mound, while the other members were scattered at home plate, first base, second base and third base for defense; The attacker sends one batter at a time to hit the pitcher’s ball at home plate. After hitting the ball, he should quickly run to other bases. If the defender steps on the base mat before passing the ball to the base, he will successfully get on the base, otherwise he will be out.

If he hits a good ball called a "home run", the defender can run back to home from first base and score a point without any time to pass it back. On the other hand, if you miss the pitcher’s good shot three times in a row, you will be killed and sent to other batters. After all nine players are killed, you will switch between attack and defense. For the defensive side, how to run and pass flexibly on the field according to the pitching characteristics and hitting effect to prevent the offensive players from getting on the base is a great test of the tactical level and cooperation consciousness of the players.

After a brief understanding of the rules of the game, it suddenly occurred to me that if there were no division of bats and bases, baseball would be a bit like running circles that we used to play when we were children. Similarly, many people had to run into the circle to attack and defend, and if they were caught halfway, they would be sent off directly. This makes me instinctively have a good impression on baseball. I don’t know how these children feel when they first come into contact with baseball, but obviously, they have enough things to face besides training.

Xu Huijing filmed for half a month at a time, and came back and forth for more than ten times, silently recording everything that happened here, and began to enter the inner world of children little by little.When he first arrived at the base, careless ate a lot every time he ate, until he couldn’t eat any more, and sometimes even vomited himself, which was of course related to his frequent hunger before. He looks tough and sloppy, but he is also very afraid of the dark. Because he can’t get along well with other partners, everyone doesn’t want to sleep with him, so he has to beg from the coach one by one. When sleeping, he often ties a safety rope to the bedside to fix himself and the bedside. When other players go outside to participate in the competition, they will stick to the sloppy base and sing songs that miss their mother in the night.

Xiao Shuang, who usually withers, is often said by touts that he lacks domineering and is too conservative. But when careless made fun of his father, he jumped up and had a fight with careless.For Xiao Shuang and careless, their imaginary parents may be the greatest comfort when they face all difficulties, because they have never met each other, and they can imagine their parents over and over again.Just like the little boy in "Summer of Kijiro", his mother originally existed only in imagination, but once he stumbled upon his mother’s photo and address, he couldn’t help but set foot on the road of looking for it. However, it may not be a bad thing for him not to find his mother. At least he can think about his mother again and again according to his own wishes.
Favourite has a good way of training children. For a naughty boy like careless, he let him make trouble for the first week and ignored him at all. A week later, he began to tighten the reins by staring at a small thing until he corrected it. During the filming of the documentary, Xu Huijing’s children just went to kindergarten. He applied this method to children and found it very effective. At the base, the tout told me that the children he trained in those years were all carefully selected young seeds. Now these children are more like shoveling and leading them, being more patient and understanding their hearts.

In the film, a scene is impressive. At one end of the training ground, the master kept cheering for everyone, encouraging everyone to be a wolf on the field. The camera at the other end of the training ground was careless and even the formation was not neat. He said to the camera with tears in his eyes: I am a stray dog!

After training for a while, the children can finally go to the United States to compete. The children who really came into contact with baseball culture for the first time were very excited. In the arena of Major League Baseball, in the face of a sudden heavy rain, careless turned himself into an inflatable muscular man with a raincoat and had a great time. In the official competition, due to the overage of the captains Dabao, Mahua and several other players, Xiao Shuang, whose arm was injured, became the absolute main force of the team. In the match with the previous U10 champion Chicago team, the children tried their best and lost the game.

After the game, Xiao Shuang even sat on the sidelines sobbing because of one of his pitching mistakes. He cried and said, "You know how hard it is to come here to participate in a competition with so many people helping us!" Usually naughty sloppy at this time also ran to comfort Xiao Shuang. At this time, they have become a real team. Xiaoshuang also learned to take responsibility at that moment.

However, after returning from the American competition, Xiao Shuang ran home. Sun Lingfeng personally drove home to pick him up, and he didn’t want to go back. For this reason, he also got angry with Erbo, who lived alone: You just want to throw me away! At the end of the film, Xiao Shuang ran to a big pine tree on the hillside at the entrance of the village. A person kept inserting pine leaves into the thick branches of the pine tree and chatted with Erbo sitting on the hillside without a word.

"great! The post-editing of "Teenager" has gone through a long time of more than a year. Xu Huijing found that he actually didn’t know enough about children, such as why Xiaoshuang ran home from the base and stopped his promising future. During the epidemic, Xu Huijing, who seldom takes her children, had more time to get along with her children. Slowly, the children allowed themselves to help him bathe, take him to school, and show him the way to school. The emotional connection between father and son became closer and closer. It was then that he understood that whether it was Xiao Shuang or sloppy, or the older captain Dabao and the youngest player Li Haixin,For these children from marginal families, what they lack most is a sense of security."Xiao Shuang is at Erbo’s house. At least he can shout at Erbo when he is angry, but at the base, when the coach says him, he can only listen."

When suffering meets baseball, it is not so much that baseball has changed them, but that kind of collective and regular training life makes these children who are extremely lacking in love feel vaguely at home.As Sun Lingfeng said in the film,Baseball is a home-going sport, because home plate is called home, and you can only score if you run back to home.Children are getting used to change, although they still can’t help but look back from time to time.

Like many people, I asked Sun Lingfeng why he chose such a group of children. His answer is frank and direct: it is not entirely for charity or public welfare, but pure. These children, like white paper, have less attachments and fetters, and can run through his training concept more systematically.

In his words, these children from U8 to U15 are all treasures after training here for more than three years. In the future, whether they enter professional teams or become coaches, they will be sown like seeds.For these children, baseball, like reading, doing business and learning technology, will become a brand-new way to change their destiny.Sun Lingfeng’s plan is quite ambitious. He hopes to go through the whole chain of talent output, team output, venue construction and event formation through the strong angel baseball training base.

Today, the base in Tongzhou is the fourth home of the powerful angel. On this 200-acre land, there are neat living areas, training areas and even vegetable fields. The base now has 68 players. Last year, it accepted 18 poor Yi children from Daliangshan, Sichuan, and set up a women’s baseball team composed of Yi girls. At the base, every child is very polite and greets people outside. After lunch, the children cleaned in groups in the canteen before leaving.
Sloppy skateboarding, jumping all the way to show us the vegetable fields. In front of him, he is obviously tall and thin. "Can you not be thin? We have to run 20 kilometers every day! " Thankfully, a few months ago, Xiao Shuang also returned to the base to join the training. He looks more confident and cheerful, like all children who love to play, riding a small bike and wandering around.

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Tottenham are out of the Champions League. Who will succeed Kong Di, tuchel or Pochettino?

Tottenham went out of the Champions League, and it was AC Milan who eliminated them, so coach Kong Di could not escape the blame. In addition, when the contract expires this summer, it seems inevitable to change coaches.

According to The Sun, Tottenham want tuchel to be their next manager. Of course, Pochettino, who is popular with fans, is also one of the alternatives.

Tuchel has been promoted to the first-line manager since he led Chelsea to win the Champions League, so even after being fired by Burleigh at the beginning of the season, he didn’t join any team hastily, and he is still waiting for the call of the Premier League giants.

Although Tottenham Hotspur is the worst in Big6, it is finally a quasi-giant team, so it can barely enter the eyes of tuchel.

Of course, Tottenham is not without competition.

Although there is no possibility for Arsenal, Manchester City, Manchester United and Liverpool to change coaches.

However, Eddie Howe of Newcastle has been coaching for almost a year and a half. If he fails to qualify for the Champions League this season, it is possible to change coaches.

And Real Madrid in La Liga, if Ancelotti retires, tuchel will have a great chance to win Raul.

However, if the position of head coach is bound to be vacant in summer, then Tottenham’s advantage is still very large.

As for Pochettino, it feels that Levi won’t go back to the grass so easily unless there are no more famous coaches at home in the market, no matter how much fans miss Uncle Bo.

ChatGPT is hot out of the circle? Wait, the pig farm also has black technology.

Recently, ChatGPT has been popular. Before that, Wang Huiwen, the co-founder of Meituan, released the AI ? ? hero list, announced that he would pay for himself, and set up Beijing Lightyear Technology Co., Ltd. to confirm his entry. Later, there was an extreme dialogue between programmers from big factories and ChatGPT. From emotional consultation, project management to novel creation, ChatGPT was almost omnipotent and omnipotent (PS, Xiaobian was trembling with fear).

Behind the explosion of ChatGPT is everyone’s embarrassment and concern for the field of artificial intelligence. So is there any application of artificial intelligence technology in the field of pig breeding? How do they combine?


The Origin and Development of Artificial Intelligence Technology

Artificial intelligence technology is a branch of computer science. The original intention of its creation is that scientists hope that computers can imitate human intelligence, so that machines can handle complex things.

Artificial intelligence can be traced back to 1950, and Allen Matheson Turing put forward the famous "Turing Test" [which refers to asking questions to the testee through some devices (such as keyboards) when the testee is separated from the testee (a person and a machine). After many tests, if the machine makes the average participant make more than 30% misjudgment, then the machine has passed the test and is considered to have human intelligence.

In the same year, he published the paper "Computing Machine and Intelligence", and put forward and tried to answer the question "Can a machine think?". After the paper was published, it received extensive attention and discussion, and Turing was later called "the father of artificial intelligence".

In 1956, John McCarthy (computer scientist and cognitive scientist), an assistant professor in the Department of Mathematics at Dartmouth College, located in the small town of Hannos in the eastern United States, invited a group of big coffee scholars including Marvin Minsky (winner of Turing Prize in 1969) and Claude Shannon (founder of information theory) to hold an academic conference. The conference mainly discussed topics such as machine imitating human intelligence, including: how to program computers, neural networks, calculation scale theory, mechanical theory (referring to self-learning), randomness and creativity.

Dartmouth Conference has been held for more than two months. Although the participants did not reach an agreement, they agreed on a word for the discussion: Artificial Intelligence (AI). At this point, the word artificial intelligence began to appear in people’s field of vision, and 1956 was also called the first year of artificial intelligence. After that, the theoretical research and practical application in the field of artificial intelligence continued to break through (see the development history of AI for details).

(Image from Demeo Consulting Wang Wei)

Before ChatGPT, the last time artificial intelligence was widely concerned was in May 2017, when Alphago defeated Li Shishi, the world Go champion, by a score of 4: 1, and will face Ke Jie, a player from China, at the world internet conference in Wuzhen. You know, after Li’s defeat in artificial intelligence, Ke Jie made a statement in the media: Even if Alpha Dog beats Li Shishi, it can’t beat me.

Before the start of the competition, Ke Jie had high hopes and was once regarded as "the last hope of mankind". However, the reality is cruel. Alphago(Master) beat Ke Jie, a talented teenager in China, with a score of 3: 0.

After the on-site interview, Ke Jie once choked:Playing chess with AlphaGo is too painful, AlphaGo is too calm, it is too perfect, and I can’t see any hope of victory.. So why is "artificial intelligence" technology so powerful?


Analysis of artificial intelligence technology

Artificial intelligence mainly includes five core technologies, namely computer vision, machine learning, natural language processing, robotics and biometrics.

Computer vision is a science that studies how to make machines "see", which means that cameras and computers are used to identify, track and measure targets instead of human eyes, and further graphic processing is carried out, so that computers can be processed into images that are more suitable for human eyes to observe or send to instruments for detection.

Machine learning is the core of artificial intelligence technology, which enables intelligent machines to simulate human behavior independently with the support of algorithm complexity theory, convex analysis, statistics and other disciplines. Machine learning refers to how to improve the performance of specific algorithms in empirical learning, that is to say, machine learning is based on massive data or past experience to optimize the performance standards of computer programs.

To put it simply, this process is similar to personal self-reflection, which is to review past experiences and then adjust the optimization behavior so as to do better next time. But different from personal reflection, personal reflection has limited sources of experience, while machine learning is based on a huge database given by developers, with wider sources of experience and data and more timely feedback based on goals.

Natural Language Processing (NLP) is a variety of theories and methods to study how to achieve effective communication between people and computers in natural language. Natural language processing is a science integrating linguistics, computer science and mathematics, which can be mainly applied to machine translation, public opinion monitoring, automatic summarization, viewpoint extraction, text classification, question answering and so on.

Robot refers to performing tasks such as working or moving through programming and automatic control. Robots have the basic characteristics of perception, decision-making, execution, etc., which can assist or even replace human beings to complete dangerous, heavy and complicated work and improve work efficiency and quality. At present, sweeping robots have entered the daily life of the public.

Biometric technology is closely combined with high-tech means such as optics, acoustics, biosensors and biostatistics through computers, and uses the inherent physiological characteristics (such as fingerprints, faces, irises, etc.) and behavioral characteristics (such as handwriting, voice, gait, etc.) of human bodies/creatures to identify their identities, such as "face recognition" and "pig face recognition".

Therefore, artificial intelligence can be understood as imitating human information input (images, words, sounds, etc.), information processing (based on the correct thinking model in the past) and then action execution, and constantly strengthening various abilities in the process to achieve the set goals and continue to improve. The core of artificial intelligence lies in deep learning, that is, continuous feedback and continuous optimization based on strategy.

The mechanism of deep learning is similar to the deliberate practice learning method proposed by Florida psychologist Anders Millard J. Erickson. Anders pointed out that the key factor to distinguish a person’s mediocrity and Excellence in the professional field is the degree of deliberate practice. The longer the deliberate practice, the higher the professional level. Deliberate exercises mainly include four elements:Clear goals, staying away from the comfort zone, concentration and timely feedback.. Different from human deliberate practice, the deliberate practice process of the machine has no emotion, so it is more efficient to execute.

Just a few months after Alphago(Master) defeated Ke Jie, in October of 17, DeepMind team published a new paper in Nature magazine, and launched a new generation of product AlphaGo( Zero). The paper points out that Alphago(Zero) reached the level of Alphago(Master) in only 21 days, and when Alphago(Zero) played the 40th day, it had already defeated all previous programs and won the world Go championship.

Afterwards, the industry put forward three cores for Alphago to quickly reach the top level in the world: first, it adopted a learning algorithm combining machine learning and neuroscience; Second, in Google’s powerful cloud computing system, more than 30 million steps of professional chess player’s chess manual have been learned through a large amount of data analysis; Third, throughThe ever-increasing self-gameFind a better idea than the basic chess manual. Artificial intelligence technology is created by human beings, and the achievements in some aspects are far beyond human beings, which may also be worth thinking and learning.


Application of artificial intelligence technology in pig farm

The combination of artificial intelligence technology and agriculture can be traced back to March 2015. Li Keqiang, then Premier of the State Council, put forward the action plan of "internet plus" for the first time in his government work report; In July of the same year, the State Council issued the Action Plan on Actively Promoting the internet plus (hereinafter referred to as the Action Plan).

The Action Plan clearly puts forward to actively promote the modern agriculture in internet plus, and points out that it is necessary to establish standardized scale livestock and poultry breeding bases and aquatic healthy breeding demonstration bases,Promote the popularization and interconnection of intelligent devices such as accurate feed delivery, automatic disease diagnosis and automatic waste recycling.. The release of Action Plan opened the historical curtain of agriculture in internet plus.

After that, AI technology, like other emerging Internet technologies, was gradually applied to the practice of agricultural industry. On the one hand, new cutting-edge technology, on the other hand, traditional agriculture, how do they combine? What kind of sparks will break out?

Scenario 1: Pig farm monitoring and pig inventory

Since the outbreak of African swine fever in 2018, biosafety has been crucial for aquaculture enterprises. Under the traditional breeding mode, people and things inside and outside the pig farm are complicated, and materials, vehicles, birds and animals come in and out frequently. It is extremely difficult and time-consuming to achieve effective supervision. For example, in the process of dissecting dead pigs, improper wearing of protective clothing by operators may cause the spread of diseases in pig farms. It is difficult to pass the manual on-site review, and it is impossible to supervise all the time. By using technologies such as artificial intelligence and Internet of Things, employees’ misconduct can be identified and early warning signals can be conveyed to managers in time, which can effectively avoid the risk of disease spread.

In addition, artificial intelligence technology can also be used to count and estimate the number of pigs. In the traditional breeding process, pig dealers need to go to the pigsty for on-site counting and weighing in the pig selling process. By using the camera above the pig farm combined with artificial intelligence technology, the pigs in the pen can be counted in real time, so as to achieve the effect of remote pig watching and real-time weight estimation.

The AI patrol and early warning interface of "Pig Xiao Zhi" of rural credit cooperatives.

Scheme of intelligent pig farm with integrated rural credit, mathematics and intelligence for message or private message consultation

Scene 2: Intelligent dung cleaning robot and inspection robot

Pig farm is a model of large-scale farming. Large-scale farming and high manure output are difficult problems that plague the operation of enterprises. In traditional farming mode, manual cleaning is usually needed, and the labor input cost is high in the process of manual cleaning. Some pig farms use water to clean manure, which consumes a lot of water, and at the same time, it is easy to cause high humidity in pig houses and cause health problems of pigs. By using artificial intelligence technology to develop a dung sweeping robot, it can effectively solve the problems of difficult cleaning, reducing water consumption and saving costs.

Similarly, robots developed by combining intelligent speech recognition and visual recognition technologies can cruise around the pigsty all day, find abnormal pigs (such as fever and shivering) in the pigsty in time, prevent and control diseases in advance, and effectively resolve the risk of disease infection.

Mu Yuan inspection robot

The above are only typical application scenarios of artificial intelligence technology in pig farms. With the expansion of business scale and the improvement of cost control and biosafety requirements of enterprises, the combination of artificial intelligence technology and pig breeding is becoming closer and closer.



At last year’s Deep Bay Meeting, in view of the application of intelligence in pig farms, Qin Yinglin, chairman of Mu Yuan Co., pointed out: "It takes three years for us to train an excellent employee, and many employees are unqualified for three years, which takes five or even ten years. But we want to make a machine in the assembly line, and gather all our wisdom of raising pigs. We are producing this very quickly now, and producing thousands of units a day is equivalent to producing the corresponding number of laborers. "

It can be seen that artificial intelligence technology has been applied on a large scale in the farms of some enterprises. With the continuous development and mature application of technology, it is certain that "unmanned pig farms" and "unmanned farms" will eventually come true.


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