The digital farm is based on the application of the Internet of Things in the agricultural field. The system integrates computer and network technology, Internet of Things technology, sensor technology and wireless communication technology to realize the digital/visual integrated management of the farm, including remote diagnosis, automatic control, disaster early warning, production and quality traceability management, and real-time dynamic management of tea management personnel/equipment/resources, The whole process of tea planting automation and real-time dynamic management.

Digital farms can realize accurate monitoring and control of tea production environment, improve tea production efficiency, reduce costs, improve tea construction management level, improve customer participation and satisfaction, and provide customers with traceable and visual agricultural product services.

        4. Construction traceability coding management

The whole process of tea planting can be traced through the technology of one thing one code two-dimensional code. Once the mobile phone scans the product QR code, consumers can know its origin, producer information, growth process, fertilization and pesticide use records, and quality testing information. The whole process data collection and monitoring of the same batch can be carried out according to the growth process of tea, so as to realize the traceability management of information in the planting and circulation links.

Establish the anti-channeling management system, assign the product ID number through barcode and QR code labels, and realize the one-to-N-type related label management of pallets, packaging boxes and products.

5. Construction sales and circulation management

Utilize the existing logistics system to establish GIS map files, cold chain status files, departure and arrival files, product files, time management files, path planning files, personnel files, vehicle status files, inbound and outbound record files, etc. The government supervision department and consumers can trace the information of tea planting, processing, logistics and so on through the source code, and provide quality supervision, brand building, order management, tea traceability and so on.

6. Big data display and analysis of tea safety

The big data platform for tea security is based on tea information services, integrates various data resources in the production, processing, logistics and trading links of the regional tea industry through multiple channels, establishes a systematic data mining and analysis mechanism, and provides the management department and the regional tea enterprise base with services such as automatic collection, statistical analysis, and decision application of agriculture-related data, so as to achieve intelligent, accurate and scientific decision-making.

The work focuses on the information management of tea land, the management of agricultural subsidies, the supervision of the distribution of agricultural materials, the traceability of tea quality and safety, the management of agricultural machinery, the protection of ecological environment, the prevention and control of diseases and insect pests, e-government, tea production, tea sales, and the release of tea information, and the construction of three extended businesses, namely, the evaluation of tea standards, the bulk trade of tea, and the financial innovation of the tea industry, so that the application scenarios of the tea industry chain data are mutually supported, To form a benign ecosystem, improve the overall operation efficiency of the regional tea industry chain, and ensure the construction of the tea quality and safety traceability system.

The visual analysis icon can intuitively display the characteristics of data and the correlation between data, and it can be intuitively reflected in each display terminal, just as simple and clear as looking at pictures. Combining various data mining algorithms based on different data types and formats can more scientifically present the characteristics of data itself. Dig out features from big data, build models scientifically, and then bring in new data through models, so as to predict and prevent future quality and safety model construction. Provide year-on-year and month-on-month analysis of the tea market and regional markets for specific tea, provide analysis of the price trend of various types of tea, and provide users with analysis data of transaction decisions.

3、 Traceability of exported tea products and advantages of big data construction

Through the construction of the traceability big data of China's export tea base, tea planting will become an industrial production mode of large-scale and standardized production, and the quality and added value of tea will be guaranteed and improved. The opening of the information channel of the industrial chain can also coordinate the production, processing and circulation and other links, so as to greatly improve the production efficiency, and each link of the entire industrial chain can obtain reasonable value. Macro management and regulation can also achieve quantitative and precise management, forming a virtuous circle of the industrial chain, so as to achieve the quality and safety traceability management system of export tea, ensure the quality and safety of China's export tea, and improve the quality of domestic tea.

4、 Project case sharing

Chongqing Nengjian Tea Industry Co., Ltd., located in Nanchuan District, Chongqing, covers an area of 1000 mu and mainly focuses on green tea production. It has been built into an intelligent tea garden park to reduce the planting risk for enterprises. Through front-end data collection, it can grasp the planting data, environmental data, input management, etc. in real time. It can reduce pesticide residues, improve tea quality, ensure tea safety and provide traceability information.