How to understand the agricultural Metaverse

The development of modern agriculture

Before we can understand the agricultural Metaverse, we must understand modern agriculture. In the development of human society for thousands of years, agriculture has always been at the core and the source of all production and development factors. However, before the Industrial Revolution, the development and technological innovation of agriculture itself had been in a flat period. Since the first industrial revolution, agriculture has also undergone iterations and technological revolutions with the advanced science and technology of the Industrial Revolution.

In the early 20th century, Europe and the United States took the lead in applying advanced technology in the industrial field to agriculture. The United States and most Western European countries, as well as Japan and other regions in Asia realized the first revolution in agriculture, that is, the widespread use of agricultural mechanization. At the same time is the development of industrial automation. In the middle of the 20th century, with the development of industrial automation, most countries in North America and Western Europe simultaneously realized the automation of agricultural production.During this process, the research on chemical biotechnology in agriculture has not stopped. By the second half of the 20th century, chemical fertilizers, pesticides and related agricultural biotechnology have been widely used in agricultural production around the world, which has greatly increased agricultural production. It has reduced some diseases and pests that were previously unchangeable by human beings, and artificially accelerated the natural evolution of crops themselves.

How to understand the agricultural Metaverse

The achievements of each industrial revolution have an extremely wide range of applications, and agriculture is not only an important application scenario for the achievements of the industrial revolution, but also the technological cause and motivation of the industrial revolution. Therefore, in the context of the current Industry 4.0, especially in the context of the rapid evolution of the concept of the current Metaverse, how we should understand the agricultural Metaverse is necessary and important. The formation of the Metaverse is based on massive data and many forms of presentation, which can be said to be all-encompassing. Then we should first understand the digital upgrade of agriculture.

The three ends of digital agriculture

The current market for digital agriculture is divided into three levels.

The first is the digitization of the market ecology, mainly including e-commerce, traceability systems, cold chain transportation, plant QR code knowledge base, digitization of agricultural product specifications, labels and sizes, and platforms for delivering agricultural products to consumers, as well as consumer preferences and markets for agricultural products. Preference, etc. digitization, etc. It is equivalent to helping farmers connect products and consumers through digital platforms, and deliver fresh products to consumers.

The second is the digitization of the platform side, mainly for the management and statistics of the basic farmland in the county or set area, the data management of fruit and vegetable grain planting, the digital management platform for agricultural materials, insurance, loans, natural disasters, diseases and insect pests, etc. Lead cockpit operations, remote sensing data, etc. At the government level, government management platforms such as “one network management” can be linked, such as the following platform display systems:

How to understand the agricultural Metaverse

The third is the digitization of the production side, which mainly covers data such as soil temperature, humidity, PH value, EC value, various phosphorus, potassium, and nitrogen fertility data, air atmospheric pressure, temperature and humidity, PM2.5 and other data, and planting area meteorological data, especially in the future Rain, rain, temperature, etc., as well as the plant’s own pests and diseases, growth, water saturation through foliar reaction, fertility deficiency and other data, all data are collected and transmitted to the cloud for real-time cloud computing of the integrated plant AI model, and then accurate planting is obtained. Make decisions, and let the corresponding electronic control equipment perform intelligent and precise operations. The main purpose is to reduce costs and increase efficiency and reduce energy consumption in the production process.

Closed-loop link system of digital agriculture

We know that for AI algorithms to have production value, they need strong computing power, and powerful computing power requires massive data to feed (the computing power mentioned here is not the computing power of hardware), and massive data requires hardware. Or physical data collection.

First of all, the data collection of the above-mentioned various soil and air plants in the production process requires sensors.

Secondly, after the sensor gets the data, it needs to transmit the data to the cloud by wired or wireless means, but the agricultural planting scene is completely different from the urban environment and the industrial environment, and basically only wireless communication can be used.

In addition, the most core AI comprehensive computing in the cloud, including sensor data, plant growth models based on advanced planting experience or experts from the Academy of Agricultural Sciences, artificial preferences for plant growth (for example, some people want to increase sugar and water less), and Agricultural product consumers and market preference data imported from the market side, or market planning data imported from the platform side.

The last is the planting decision obtained after the AI ​​comprehensive calculation. One of the core issues here is that the planting decision must be executed by IoT devices. Traditional equipment or manpower cannot meet the requirements of accurate execution of AI decision-making. Therefore, the IoTization of the electronic control equipment itself And the communication system that makes the decision to reach the application scenario is crucial. To form a digital closed-loop link system for agricultural production, all of the above factors are indispensable, or the missing parts will greatly reduce the overall function.

How to understand the agricultural Metaverse

Elements of the Agricultural Metaverse

AIoT-based agricultural full-link digitization has several elements corresponding to the Metaverse in the system, including digital identity, openness, and immediacy.

The first is to establish a multi-dimensional digital identity including the above-mentioned various environmental data in the agricultural planting environment and the plant itself. The multi-dimension mentioned here includes indicators such as soil temperature, humidity, PH, phosphorus, potassium, nitrogen, heavy metal content, ambient air quality and other indicators. In the digital agriculture industry of many enterprises, many focus on software research and development, and the important sector of digital sources is ignored. .

The digital sources are more hardware-based data collection and basic data generated by “people”. The solution currently adopted by Dicui Intelligence is to solve the data acquisition and communication problems of sensors, electronic control equipment and “people”. In the conventional wireless method, the most critical network adopts the LoRa wireless networking method, so that the wireless networking data can be obtained instantly from all kinds of sensors and electronic control equipment under the gateway network.

It is emphasized here that in China’s vast agricultural plains, it is impossible to use a wired layout (it is even more unrealistic to set up a wide area network communication base station). Occurred, resulting in extremely high maintenance costs. Then the wireless options include WiFi, Bluetooth, zigbee, sigfox, LoRa, etc. Overall, LoRa is actually the only choice from the overall consideration of communication power consumption, distance, load, stability, and security.

In general, the communication distance from the gateway to the sub-node needs to reach 2km, and the power consumption of electronic control equipment such as ordinary dry batteries to maintain communication + sensor discharge or solenoid valves needs to be more than 2 years (at least one year). Then, after the communication problem is solved, the problem of uploading data from the sensor is solved, and the order of the electronic control equipment is solved, which also realizes the data closed-loop from data collection to data analysis to data execution, and then from execution feedback to the cloud. It also realizes the full-link digitization of agriculture.

The other is to integrate the data on the market platform to guide agricultural production. The planting scenes, fields, and cold chain logistics that were originally far away from the market will become available in the Metaverse to participate in and integrate into them anytime, anywhere. Through the entrance on the human side, we can directly connect to the plants in the planting scene, and can order or claim according to our own preferences and needs, as well as the cold chain logistics connection after maturity.

From sowing to eating to mouth, the whole process of development involves participation anytime and anywhere. Metaverse agriculture is more like a kind of social interaction with plants and farmers in the same planting scene. It can synchronize its growth process and harvest at any time. With the participation of the market, the core value of agricultural products and the digital assets of peripheral value, peripheral value including plant carbon sink, unique plant ornamental value (variant orchid), etc., all of which directly rely on the economic operation system of the Metaverse system.


The Value of the Agricultural Metaverse

The core value of scientific and technological services and agriculture is firstly to reduce costs, increase efficiency and reduce energy consumption, followed by market planning and management, agricultural production planning, follow-up of supporting service facilities, etc., and thirdly, it is conducive to the sustainable development of the environment and the crops themselves to meet human needs. evolution, etc.

1. After the comprehensive calculation of the huge data of the Metaverse, the precise operation keeps the plants in the best growth state, and the crop yield can be increased by up to 30% in the application of the facility agricultural planting scene (the experimental data verified by the Academy of Agricultural Sciences);

2. Because of the precision of various production factors such as water and fertilizer, as well as according to market demand and scientific management planning, the energy consumption plan is optimized and energy consumption is greatly reduced, up to 50%;

3. The fully automated operation of machinery, including action automation and decision-making automation, greatly reduces labor costs and technical guidance costs, and is also the most important way to reduce costs;

4. Partially closed planting scenarios, planting crops that absorb carbon dioxide efficiently, and at the same time producing plants for carbon fiber manufacturing, plant protein extraction, etc., dataization can create high carbon sinks;

5. Through the data spectrum analysis after Metaverse and digital twin modeling, planting experience can be summarized, yield can be predicted, pests and diseases can be prevented, and the controllability of planting can be improved;

6. Predict possible natural disasters through comprehensive elements, and take preventive measures as early as possible to minimize losses;

7. Establish a plant digital twin system through the Metaverse, find the best evolutionary path for plants, guide the research and development of plant seed genetic engineering, and artificially and reasonably accelerate the natural evolution of plants;

8. Save the best planting decision plan, accumulate massive data, and finally make the plant growth approach infinitely close to the natural optimal;

9. According to market planning, human preferences, and national policy guidelines, make the most reasonable agricultural production that meets market demand, that is, on-demand production. There is no redundancy or lack of optimal matching methods for preserving agricultural production. This is of great significance for the value (price) stability of agricultural production and preservation of production enthusiasm;

10. The value of agricultural production is balanced, the use value determines the value, and the value determines the price. The mismatch of value and price caused by the lag of market supply and demand information is inevitable in socialization, but the blockchain operation mode based on Metaverse, If the value created by agricultural production is reasonably matched and operated in the way of NFT, the market value of agricultural production will approach unprecedented stability and rationality.

Of course, the explorable space in the Metaverse is still infinitely huge, and we firmly believe that more incalculable value will be created in the future.

Agriculture is the foundation of people’s livelihood, especially in this Shanghai epidemic, perhaps many urban people who do not know grains should have a deeper understanding of agriculture. Agricultural products such as staple grains and core meat are more policy and strategic categories. The agricultural production cycle is long. Spring determines the yield in autumn, but spring does not determine the market in autumn. This is also a major market factor restricting agricultural development.

Many fruit farmers and farmers invest heavily when prices are high. However, Adam Smith’s wave law is not within the grasp of every farmer, resulting in oversupply or short supply (or the market itself has an impact on product preferences, and some fruit Market demand is also cyclical (regional and seasonal), resulting in huge losses and reduced investment, etc. Such things are not uncommon. The periodicity of the soil will make everyone overwhelmed. For example, the soil that is planted with watermelon this year needs to be repaired by planting green manure crops in the next 2-3 years, which cannot keep up with the rhythm of market changes.

And one of the functions in the Metaverse is to carry out order-based claim-based planting according to market demand.When a virtual person in the Metaverse travels to a farm, he can place an order for food, vegetables and fruits according to his own preferences, purchase and plant them. The corresponding real physical world matches the virtual data world one by one, the production process is carried out automatically, the value generated by planting is one-to-one with the value collected by demand, and all agricultural products, planting production materials, logistics systems, and non-homogeneous currencies, etc. This is a huge revolution in the market value of agricultural production.


Three Levels of AI Algorithm in Agricultural Metaverse

The first is the visual recognition AI algorithm for the plant itself, including monitoring the number and growth status of the plant itself, and alerting the plants that do not conform to the growth trend of the plant. Among them, the data of the growing stage is particularly important, because the nutrient requirements of plants in the stages of germination, seedling, flowering, fruiting, beating, and maturity are quite different. This is the data that all computing environments need to conform to. Then it is to identify the diseased parts and diseased parts of plants, nutritional status, identify pests and diseases, and harmful organisms, and issue warnings for pests and animal invasions, and biological invasion identification and early warning. The best way at present is to use image recognition technology, that is, to first establish the basic model of the plant, then use the camera to collect the image, and then use the GPU or cloud host to analyze and compare, and the final result is imported into the second-level algorithm. platform.

How to understand the agricultural Metaverse

The second is a comprehensive calculation based on the data at the first algorithm level, combined with the above-mentioned data of soil, air, weather, artificially prescribed preferences, market conditions, and electronic control equipment. For example, when the corn has rust, the system will automatically detect whether the current temperature is not higher than 35 degrees Celsius and not lower than zero degrees Celsius, whether it will rain in the next 2 hours, and the liquid level of the “fenpyrazole” medicine tank in the integrated water and fertilizer machine, etc. After a lot of data, the corresponding solenoid valve, water pump switch, pest control and other series of operations are carried out. Or according to the data analysis in the Metaverse, it is found that rust spots may occur when a certain temperature, humidity, or a certain soil element changes to a certain extent, then directly cut the necessary conditions for the formation of rust spots to curb the disease. virus may occur. This application is especially necessary in facility agriculture. For example, when the plant spectrum in the plant shelter is turned off, the root humidity must be reduced, the carbon dioxide concentration must be reduced, and the oxygen concentration must be increased, otherwise there will be gray mold in a short time. All of these calculations can be accurately realized by the Metaverse system. On the contrary, using non-Metaverse technology, the cost of realization is high and the accuracy is low. Moreover, the damage to plant cells is often irreversible, and it is difficult to repair and make up for the damage.

The third algorithm level is the deep calculation based on the neural network learning system and the Euclidean AI algorithm system. The neural network learning system is first based on the force of the second level, and the corresponding decision is obtained after data screening. At the same time, the more important role is to artificially correct the corresponding decision through a wide range of laborers in the planting process. For example, when watermelons are planted at high altitudes, less fertilizer should be applied to reduce the possibility of swelling and self-explosion. On the contrary, more fertilizers should be applied in Hainan to promote growth. However, the computing power of the initial model is limited, and the global terrain and climate environments are also different. Manual correction during the planting process after the basic model is available is a very important factor, which can make the model ability continuously improve from 10 points to 99.999 points, and finally unlimited Approaching scientific planting.

On the basis of the neural network learning system, the support of the Euclidean algorithm is even more needed. Of course, this is also one of the core algorithms of the Metaverse, or the Euclidean four-dimensional space itself is the Metaverse (Note: not four-dimensional space-time, the concept Problems Technical Problems This article will not discuss in depth for the time being). We correlate all the above data in Euclidean four-dimensional coordinates, establish a four-dimensional spatial coordinate map, and then set up a point that infinitely approaches yield or quality, and find a point that wirelessly tends to pests or other yield reduction factors. The data behind any line is correlated, and then the corresponding mathematical equation is established. After we determine the solution of the equation, all data will be calculated in real time, and the calculation result will direct the electronic control equipment to execute the decision. This is also how the actual landing in the Metaverse works.

How to understand the agricultural Metaverse

The Eternity of Agriculture in the Metaverse

Going back to the essence of the Metaverse, no matter how the concept is defined, whether it is AR/VR/XR or brain-computer presentation of the Metaverse, or a virtual shopping mall built by e-commerce, or a digital twin of a digital city , after all, is the operation of the data. At present, what human beings have to realize all this is data, and the operation of data currently depends on the operation of code. But all of this relies on the transmission and operation of electrical signals and electromagnetic waves.

Let’s try to imagine the photosynthesis of plant growth, which converts inorganic matter into organic matter. In addition to the inorganic matter itself, the core material is the energy of light, and light is also an existence of electromagnetic waves. Plants grow from nature and then transform into animals or other energy. The mystery of all these is like the stars in the night sky, deep and fascinating.

At present, modern agriculture has completed the fourth revolution and entered the world of the Metaverse, and the value generated is already immeasurable. We firmly believe that in the agricultural Metaverse world, there will be endless exploration space as vast as the real universe, and those of us who are engaged in agriculture are standing on the ladder of the times at this time, looking up to the stars and bravely climbing.

How to understand the agricultural Metaverse

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