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Fujian: digital "new farming tools" cultivated "wisdom field"

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Recently held the Fifth Digital China Construction Summit, multi-dimensional presentation of modern agriculture digitization to open the way: unmanned farms in the Northeast black soil, farming prevention and harvesting a key to complete; in the southern hills of the southern hills of the tea plantation, the carbon income and expenditure account at a glance; in the factory egg coop, sick and dead chickens, low-yield chickens at a glance to identify?

In the digital age, traditional agriculture? The first thing you need to do is to look at the sky and eat. The first thing you need to do is to get your hands on a new one, and you'll be able to do that. The stereotype is broken. The smart equipment has become the? The new farming tools? Data has become the new farming tools. New agricultural materials The new farming equipment has become the new farming tools, and the new farming data has become the new farming materials. The newest and the most important thing is that the newest and the most important thing is the newest.

An egg-laying chicken's digital journey

For? The most important thing to remember is that it's not just the chicken.

The most time-consuming thing for a chicken farmer to do is not to mix the feed or clean the coop, but to find a dead chicken in the middle of a flock of chickens.

Located in Fuqing City, Fishery Creek Town, Fujian Guangyang Egg Industry Company Limited egg farms, there are 12 chicken houses, a single storage capacity of 50,000 birds. Every day, the keeper of each chicken coop to spend most of the day inspecting the chicken coop, rows of dead chickens. If not dealt with in time, epidemics are very likely to occur, and there will also be a blockage of eggs, so that the eggs can not enter the egg delivery line smoothly.? Field director Li Guobin said, in 50,000 chickens to find three or two dead chickens, is like a needle in a haystack, the keepers are a test of body and mind.

Last year? The first time I saw this, it was a very good idea for me to go back to my old job. The egg farming robot wood chicken Lang? The first time I saw this was when I was in the middle of the night, and it was the first time I saw it. Chicken farmers. Utilizing artificial intelligence technology,? The robot can recognize whether the eggs are dead or not from the morphological characteristics and give precise information. Can identify from the morphological characteristics of the egg chicken is dead chicken, and give precise location, the breeder only need to follow the map to timely elimination can. Li Guobin said, the chicken head and claw state is an important basis for judging the state of the egg chicken. Generally speaking, the claws of dead chickens are mostly stiff. With the help of? Wooden chicken Lang? The? Wise eye?

Digital agriculture makes raising chickens twice as easy.

As a leading enterprise in the field of egg and poultry, Guangyang Egg has been involved in digital agriculture as early as 2012, and initiated the construction of a set of agricultural Internet of Things system. The system can monitor the environmental data of the chicken house in real time, and through the traceability system for each egg to find? Mother's home? But in the company's chairman Yu Jier view, this system is a bit ? In the view of Yu Jie, the chairman of the company, this system is a bit ? The system does not help much in improving production efficiency.

? Digital agriculture is not just about laying a bunch of sensors, but about putting massive amounts of data to use and serving production. ? In 2018, Guangyang Egg was selected for the Ministry of Agriculture and Rural Affairs Digital Agriculture Pilot Project, and Yu Jier began to review and reflect on what digital agriculture should be like.

After several years of exploration, Guangyang Egg Industry has built a digital farming system. The whole process of egg farming is highly digitalized: automatic collection of environmental data, automated environmental control, automated precision feeding, automatic manure removal, disease monitoring and early warning, automatic egg collection and packaging.2020 and last year put into use the world's first commercial chicken farming robot? Mujirou is the latest in its digital transformation.

Sorting out dead chickens is just one of the many ways in which we can make a difference in our lives. The robot is a new type of robot that can be used to detect dead chickens and to detect the presence of dead chickens. It's just one of the many skills it has. Yu Jie will be its? eighteen skills? It is categorized into three categories:? On behalf of the king to patrol the mountain? The chicken coop inspections are carried out at regular intervals or according to instructions;? Dynamic zero? , timely detection and localization of dead chickens, low yielding weak chickens;? Decision-making?

? does what breeders want to do but can not do. Taking the example of troubleshooting low-laying weak chickens, egg production rate is the most important indicator in egg poultry farming. Low-yielding weak chickens? Light to eat can not eat eggs? , the input-output ratio is extremely low. However, it is almost impossible to find out which chickens are low-yielding and weak by hand. Wooden Chicken Lang? is able to recognize them accurately. Thanks to this, Guangyang Egg Industry can save 0.5 kilograms of feed per chicken per egg-laying cycle. Currently, one kilogram of feed costs 3.5 yuan. The cost savings and efficiency gains are significant.

Recently, ? Wooden chicken Lang? gave feedback to the backstage about a chart of abnormal behavior of laying hens: chickens in a certain area frequently open their mouths.? Combined with the environmental data, we found that the temperature of the area is not uniform, the smell is strong, and timely improvement and optimization to provide a comfortable growing environment for every chicken. Yu Jier said, this easily overlooked details, is actually the emotional expression of the egg chicken.

Through technology iteration and deep learning, ? Wooden Chicken Lang? will also become smarter. In Yu Jie's vision, the future? It is hoped that through the? Looking, sniffing and cutting? , multi-dimensional accurate discernment of the health of laying hens, but also through big data analysis, to provide more accurate nutritional models for laying hens,? To supplement how much carbohydrate, protein, vitamins, fiber, no longer rely on experience, all with the data to speak, so as to achieve accurate feeding and food saving purposes.

Digital solutions to industry pain points

The digital journey of an egg-laying hen is behind the digital transformation of Fujian agriculture.

? We promote the deep integration of agricultural Internet of Things, satellite remote sensing, 5G, artificial intelligence, blockchain, cloud computing, big data and other digital technologies with the management of agricultural production and operation.? Chen Hong, director of the Marketing and Informatization Division of the Provincial Department of Agriculture and Rural Affairs, said that since 2017, Fujian has taken the lead in organizing the construction of a modernized agricultural wisdom park in the country to digitally empower Fujian's advantageous characteristic industries such as tea, edible fungi, fruits, vegetables, livestock and poultry.

The data show that Fujian has built five national digital agriculture demonstration bases, more than 60 provincial modern agricultural wisdom parks, 700 agricultural Internet of Things application bases, a total of 150 million yuan of financial funds, prying social capital of more than 1 billion yuan, radiation driven by the province's various types of new agricultural business subjects more than 1,000.

The digital technology directly refers to the traditional agricultural pain points, the realization of the agricultural production and operation of the process of reengineering.

In the carbon peak, carbon neutral background, how to show how to play agriculture? Digitalization, so that the agricultural carbon income and expenditure is clear. The company has introduced a meteorological observation system to record the temperature, precipitation, radiation and other relevant meteorological data in the tea garden in real time.

? We use meteorological data, combined with field measurements of the leaf area index, vegetation aggregation index and other indicators, through the ecological process model, to derive the carbon flux of the tea tree; through the soil sampling, laboratory physical and chemical analysis, to estimate the tea garden soil organic carbon reserves.? Wang Miao Miao, a researcher at the Digital Agriculture Research Institute of the Provincial Academy of Agricultural Sciences, said, ? After figuring out the family background of agricultural carbon sinks, it lays the foundation for the future trading of agricultural carbon sinks.

In the recently held Fifth Digital Summit, Fujian Bama Tea Co., Ltd. through the visualization platform, showing a tea garden? The carbon account book?

At the Fifth Digital Summit, Fujian Bama Tea Co.

Tea processing also contains emission reduction potential. In Anxi, an intelligent system that can simulate the craftsmanship of a master tea maker is about to be commercialized.? We will be the Internet of Things, intelligent control, digital twin, artificial intelligence and other technologies in-depth integration applied to the sun green, cool green, shaking green, killing green, kneading, wrapping and kneading, drying and other oolong tea production links.? Li Zhipeng, a researcher at the Digital Research Institute of the Provincial Academy of Agricultural Sciences, said that in 2019, the Institute united with a number of tea-making craft masters in Anxi to set up a collaborative innovation team to carry out a joint research project on the key technology of intelligent primary processing of Tieguanyin,? This set of technology to accurately collect artificial tea making strength, time, number of times and other data, while recording the tea loss rate and other indicators, and ultimately achieve the effect of machine simulation artificial, accurate production, energy saving and emission reduction?

The African swine fever epidemic had a huge impact on the hog farming industry. Digital agriculture escort agricultural biosecurity.? In the past, pan pigs, weighing and so on are operated manually, invariably increasing the risk of infection.? Provincial Academy of Agricultural Sciences, Institute of Agricultural Engineering Technology, scientific and technological personnel Wu Feilong in the scientific and technological services team, in Fujian Province, Xingyuan Agricultural and Animal Husbandry Science and Technology Co., Ltd. to carry out the pilot digital agriculture, to explore the prevention and control of animal disease intelligent agriculture program.

? Staff can remotely manipulate the intelligent hardware in the pig farm through the cell phone terminal to realize the intelligent plate pig, intelligent weighing, fat monitoring, intelligent feeding, traceable management, thus greatly reducing the personnel intervention, effectively reducing the risk of infection of pigs.? Wu Feilong said, due to the production management more scientific refinement, can effectively control antibiotics, additives and veterinary drugs put, thus ensuring food safety, pigsty management costs are also greatly reduced.

Digital agriculture how to use better

Rising labor costs, favorable policies, technological advances, coupled with the user education carried out in recent years, digital increasingly become the transformation of the modernization of agriculture in a new direction, and ushered in a new round of investment and entrepreneurial boom. However, in the industry's view, the breadth and depth of the development of digital agriculture are yet to be expanded.

Li Zhipeng found in the research, many digital agriculture projects exist? The first time I saw this, it was a very good idea. The phenomenon. Part of the project to show that the component is greater than the actual application of the effect. He said that many digital agriculture projects only realize the simple information transmission and display, failed to integrate with the depth of agricultural production and operation, difficult to solve the actual problem of agricultural production process.

In Li Zhipeng's view, many agricultural information service enterprises spend a lot of effort to build platforms, but the lack of professional management and operation and maintenance services, making the low utilization of digital agricultural systems, but also let some farmers and agribusinesses to produce? The information technology useless theory? The company's business is a very important part of the company's success," said Mr. Kennedy.

Lin Qiong, an associate researcher at the Soil and Fertilizer Research Institute of the Provincial Academy of Agricultural Sciences, believes that the key to the deep integration of digital technology and agriculture lies in tapping into the potential of the data, so that the data can truly become a guide to agricultural production and management? new agricultural capital?

? Data is not enough, not good, will not be used, is the key problem that restricts the digitization of agriculture.? Lin Qiong to vegetable greenhouse data collection as an example, the current digital agriculture project to collect data mostly focused on light, temperature and humidity and other environmental data, plant sensor R & D utilization is limited, the lack of real-time mastery of the crop growth status data.? For example, the greenhouse temperature is high, what is the impact on tomato stem and leaf growth, flowering, fruit expansion, sugar accumulation, growth stress, etc.? Lin Qiong said, only the environmental factors associated with crop growth, in order to truly speak with the data, accurate adjustment of management measures, otherwise still highly dependent on artificial experience.

Li Zhipeng advocates breaking down data silos and improving data quality. At present, the development of digital agriculture standards and specifications is relatively lacking, resulting in poor data quality, agricultural information can not effectively real-time **** enjoy, analyze and apply.? He suggested that the construction of industry standards and specifications related to digital agriculture be strengthened, and a number of agricultural sensors, agricultural data collection, data transmission and other related industry standards be developed to promote the interconnection of agricultural data **** enjoyment and application.

In this regard, Fujian has made a breakthrough. In recent years, Fujian Province has implemented the Fujian? Agricultural Cloud 131?information project, aimed at building an agricultural big data resource center, improving agricultural production, business management and agricultural quality and safety services and other three major application systems, to create a province? Three Agriculture information integrated service platform.

? We are accelerating the improvement of Fujian? Agricultural Cloud 131?project, the construction of arithmetic, algorithms, data, application resources synergistic provincial agricultural and rural big data center.? Chen Hong said, the next step will further improve the province, city, county, township (town), village five-level data collection convergence, to build a real-time, dynamic data collection system and database, in-depth mining and analysis of the whole agricultural industry chain and the whole field of data in rural areas, to accelerate the full release of the value of the elements of digital resources.

Cultivating applied talents is another key to the development of digital agriculture. Fujian New Continental Technology Group Co., Ltd. is the technical support side of several provincial modern agricultural wisdom parks. Project leader Wu Zhonggang found that many projects in the construction of the initial effect is good, but the follow-up operation is weak.? Most farmers and agribusinesses lack experience in using information technology and knowledge of information technology, and have insufficient capacity for equipment operation, data analysis, etc.? He suggested that the improvement of agricultural digital talent cultivation mechanism, so that digital agricultural technology is really used, used well.