Qi Zheng was very unrighteous and left Zhang Zehong to entangle and confront a group of merchants. See 1 yarn 3 Chinese net

Alone, he slowly went to the agricultural science and technology exhibition area to visit.

The Spring City Agricultural Fair is not only a grand event for the display of agricultural products, but also a grand event for the display of agricultural high-tech - there are advanced agricultural machinery, high-tech agricultural facilities and other exhibition areas, integrating modern agricultural science and technology demonstration, agricultural science education and one.

Jiagu also has the demand for agricultural machinery procurement, and the most important thing is that the purchase of complete sets of agricultural facilities at the agricultural fair can have certain discounts compared with the usual purchases.

However, Wang Yuye arranged a professional team to be responsible for the equipment procurement, and Qi Zheng purely visited to understand the current development level of agriculture.

The flow of people in the agricultural science and technology exhibition area is relatively sparse, and most of the company's representatives are visiting and negotiating, and Qi Zheng is enthusiastic to visit the display of new agricultural technologies and achievements.

When I walked to the end of the exhibition area, I saw a small booth with a slogan that was unconventional.

"Satellites shine into the farmland, the new world of agriculture!"

It's a pity that I don't know if it's because of the location, no matter how domineering the slogan is, it can't save the dismal popularity.

Qi Zheng walked over curiously, wanting to see the company's business.

There were only a few people in the booth, and when they saw Qi Zheng coming, they actively came up, warmly received and explained.

Qi Zheng learned from this that this company, called "Maiyun Technology", is a start-up company in the field of agricultural technology.

Founded in 02, Maiyun Technology is a commercial meteorological service company, with meteorological forecasting technology as the core, through the integration of a number of unique forecasting technologies, to agriculture, transportation and other weather-related industries rich on-demand customized commercial meteorological services.

Gao Peng, who personally explained to Qi Zheng, is the founder of the company, and learned from his self-introduction that he studied meteorology, and then obtained a master's degree in geography in the United States.

Knowing that Qi Zheng was a representative of an agricultural company, he was in good spirits.

"At present, we have built an advanced agricultural information product system covering agriculture, meteorology, water conservancy, and other fields, which can be used for agricultural project planning and risk assessment, risk management of diseases and pests and meteorological disasters, and can also customize the overall agricultural production technology packaging services according to user needs. ”

"We are also building the first meteorological big data service platform in China, which integrates agricultural big data analysis and automatic monitoring of the agricultural Internet of Things, and provides ...... for scientific planting, food safety traceability and other technologies and data services."

Qi Zheng only listened to his introduction, and concepts such as "big data", "cloud platform", and "Internet of Things" representing the future came to mind one by one. Look at 1 gross 2 lines 3 Chinese net

Very good, Gao Peng's entrepreneurial plan is full of futuristic atmosphere.

If it was ten years later, Qi Zheng would probably give him a thumbs up.

Right now, Qi Zheng just wants to say that one step ahead is a genius, and two steps ahead is easy to become a martyr.

The concepts of "big data", "cloud platform" and "artificial intelligence" are all at the forefront of science and technology after more than ten years.

There is a high probability that this person in front of him is cannon fodder on the road.

......

It should be said that the direction that Gao Peng cut into is still very promising.

Not to mention lofty concepts such as "big data" and "artificial intelligence", meteorological services are a big business in themselves.

There is a well-known "Delphi Meteorological Law" in the world: if you invest $1 in meteorological information, you can get an economic return of $98, and the input-output ratio is as high as 198.

The so-called "relying on the weather to eat", these four words represent "relying on the weather to make money".

When the temperature reaches 22C, beer starts to sell well, when the temperature reaches 24C, swimwear starts to sell, and when the temperature exceeds 30C, the sales of cold drinks go up – all of which are summed up in a series of meteorological indicators: ice cream, swimwear, air conditioning and so on.

The United States and Japan are among the best countries in the world in terms of commercial weather services. In the domestic market, due to policy monopoly, the commercial meteorological service industry is almost blank.

Therefore, Gao Peng's courage in choosing meteorological entrepreneurship is commendable.

But......

"How much weather data does your company collect? I'm talking about precise weather data. Also, how many days of medium and long-term forecast can you make in the future?" Qi Zheng interrupted Gao Peng's introduction and pointed to the point.

"Uh......" Gao Peng looked embarrassed.

Obviously, Qi Zheng caught his pain point.

The most important thing to judge whether a meteorological service company is good or not is the meteorological data source and data processing ability - in the vernacular, it is how many meteorological data resources can be accounted for by two things, and how good the mathematics is.

The essence of weather services is data collection and data processing.

So, which weather service company has the most extensive data can also go a long way about how big it can grow.

Worldwide, the main source of data for commercial meteorological companies is the meteorological services of various countries. But that's not enough, and they often choose to expand their sources of weather data, such as building their own weather stations, deploying radars, or even launching satellites.

However, in China, due to the restrictions of relevant laws and regulations, it is difficult for enterprises to collect accurate meteorological data through the above two methods.

"For short-term weather forecasts, we use algorithms to learn weather images instead of meteorological experts to forecast the weather, and for medium- and long-term forecasts, we use statistical methods to predict future meteorological ......conditions based on historical data," Gao Peng said with confidence.

Qi Zheng is clear.

It's no wonder that the company's popularity is bleak, just the meteorological data in the northeast can't support the future of Maiyun Technology.

In terms of data processing, start-ups are limited by computing power and cannot solve short-term, medium- and long-term forecasts, which determines that it is difficult for him to go far on the track of meteorological entrepreneurship.

Maiyun Technology is essentially a data company, but unlike Internet companies, it can burn money in the early stage, acquire users for free or subsidized, and then consider monetization.

He served agriculture and was a man who made farming a business. But for these people, the current service of Maiyun Technology is like chicken ribs - there is a meteorological department for weather forecasting, and data analysis is limited by computing power and has no value, so what use do you want?

Gao Peng saw Qi Zheng's clear expression, and sighed in his heart.

In fact, it was because he didn't think it through, and the domestic meteorological service venture was more complicated than he imagined.

Domestic meteorological services have always been monopolized by the administration, which not only makes it difficult to obtain meteorological data, but also makes users unacceptable to the model of private commercial meteorological services.

Although he was able to raise the initial start-up capital through his technical background and connections, the continuous setbacks in the business made the company's internal morale low.

At present, the company has only 2 customers, and the unit price is only around 200,000 yuan, compared with the investment of nearly 10 million yuan, it is simply overwhelming.

At this agricultural fair, he also got an exhibition quota through his relationship, hoping to win one or two big orders, "transfuse some blood" for the company, and improve morale.

But the reality is more cruel than imagination, let alone big orders, and there are very few people who are interested in the company's business.

Even the young man in front of him saw the weakness of the company at a glance, what should he do next?

Gao Peng was both frustrated and confused.

But Qi Zheng didn't turn around and leave, but after carefully looking at Maiyun Technology's refined solutions for customers, he lowered his head and thought for a while, and asked, "Your company's ability to combine industry contacts is not bad, and the team is okay, I can have a chance." ”

"Huh?" Gao Peng's heart raced, trying to be reserved.

Qi Zheng's voice sounded again: "I want to integrate your platform into our company's production system. ”

Gao Peng's reserve was lost, and he asked in surprise, "You want to buy my company?"

Qi Zheng nodded lightly, "If you agree, yes." ”

Gao Peng was dumbfounded when he determined that Qi Zheng was going to buy the company, not the cooperation order he wanted.

Qi Zheng said, "Your company's resources are too poor, and it is difficult to go far without sufficient support." If you agree to the acquisition, I can give you people, give you time, give you money, let you do R&D, do what you want to do......"

Before he could say the words of refusal, Gao Peng was moved.

Such a promise is something he has been hoping for but not daring to imagine, isn't this definitely teasing me?

Qi Zheng is not so boring.

In fact, he was impressed by the ability of Gao Peng's team.

As he said, under the condition of lack of resources, the Gaopeng team has actually done a good job in terms of data analysis and industry integration.

Although it is difficult to do domestic meteorological services now, the country will gradually open up the field of meteorological services in the future, and if it can persist until that time, the surviving pioneers will undoubtedly be able to occupy the first opportunity.

Moreover, the role of the weather service is too practical for Jiagu's own business.

In agriculture, meteorological services can be used to analyze remote sensing data, combined with ground data, to predict the weather conditions of farmland, crop growth, pests and diseases, and carry out extreme weather warnings.

Another example is the weather forecast that can be used for short-term, high-precision geographical location for food distribution, and can accurately predict the precipitation of a route or an area, and plan the driving route......

Qi Zheng hopes to acquire this company and gradually develop it into a digital agricultural platform to collect all kinds of data required for agricultural production (weather information, soil conditions, crop growth conditions, etc.) and help the company formulate scientific planting plans (sowing time selection, fertilization planning, yield forecasting, pest and disease management, etc.......

For agricultural planting, it may be possible to manage more than 10,000 mu by hand, but if you try one million mu, it is difficult to manage it well without an advanced scientific and technological means.

And "satellite illumination into farmland" is undoubtedly an ideal scientific and technological means.

......