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Although the price of fruit has continued to rise recently, the demand for fruit consumption and the market have been increasing rapidly. Mexico's avocado, New Zealand kiwi, imported cherries and other delicious, beautiful-looking "foreign fruit army" are jumping on consumers' dining tables.
In order to win market share, the domestic fruit plantation industry must find ways to raise the double high standards of "quality and quantity". Among them, Haisheng Group has always been at the forefront of the entire industry through digital and intelligent transformation, and it is worth learning.
Haisheng Group has always been a model of fruit cultivation in large-scale cultivation and intensive operation in China. This company, founded in 1996 and early focused on apple juice concentrate, was the world's largest producer and supplier of apple juice concentrate ten years ago. After the outbreak of the financial crisis in 2008, Haisheng Group began to plan to transform into the field of fresh fruit cultivation. At present, 63 fruit and vegetable planting bases have been established in the country, with a total planting area of more than 80,000 mu. The multi-dimensional development model of the chain.
However, with the rapid expansion of Haisheng Group's planting scale, and the increasing use of mechanized, automated, and Internet of Things equipment, Haisheng Group found that it is no longer enough to rely solely on EXCEL to count the data and summarize the work of each business chain. Therefore, the company needs an advanced information system to solve the problems of information circulation and data sharing, so that the overall business analysis is more accurate and clear.
Building the Agricultural Big Data Center: "Data on the Cloud" Solves the Hardest Problems
Haisheng hopes to build an agricultural big data central office, connect all kinds of business data in the expanding business territory to the central office system in a unified way, and then feed back the business through unified data technology services, so that each enterprise Businesses can share the same set of data assets to achieve digital and intelligent agricultural construction, which has become the consensus between Haisheng Group and Alibaba Cloud.
However, the variety and complexity of agricultural data far exceed the imagination of Alibaba Cloud data experts: in agricultural production, meteorology, soil, plants, agricultural operations, agricultural inputs, and output are all key variables that require detailed records, especially It is Haisheng Group. These agricultural data accumulated over the years are the most valuable data assets of enterprises, and they must be deeply integrated into the agricultural big data center. In order to build an excellent agricultural big data center, Alibaba Cloud and Haisheng Group repeatedly tried, tried, polished, and improved, and finally selected the breeding, breeding, site selection and gardening, planting management, and agricultural machinery management in the latter data report. , Multi-source data of business systems such as post-harvest sorting, warehousing, logistics, marketing, etc. are integrated into the database and entered the database of the agricultural big data center. With the data center's unified integration of structured and unstructured data of Haisheng Group and the smooth construction of agricultural big data center on the cloud, Haisheng Group has completed data standardization and data systemization on the cloud.
Agricultural management: let agricultural production have a "digital map"
With the successful construction of Haisheng Group's agricultural big data center, the construction of the agricultural brain can be smoothly carried out.
First of all, unlike the previous "field collection, centralized entry, Excel hosting", based on the data management function of the agricultural brain, Haisheng Group can more standardized data entry, form management, and more intuitive view of the summary data And conduct GIS map management. Field engineers and other front-line staff can directly input basic information, fertilization, horticulture, agricultural machinery and farming, post-harvest, labor, biological assets, agricultural environment, yield estimation, garden construction, nursery, etc. through the convenient mobile phone APP application The details of. At the same time, through direct connection with first-line automation and mechanized equipment, a variety of data can be directly entered into the agricultural big data center through the data management function, reducing errors and delays in manual entry.
Not only that, as the Internet of Things technology is widely used in agricultural planting, the agricultural brain has constructed a full-link agricultural IoT data sensor network. By connecting weather stations, soil moisture sensors, field cameras, drones and agricultural machinery monitoring equipment, agriculture The brain realizes the collection and automatic upload of IoT devices on the farm's full link data, and the planted crops are supported by "full life cycle data perception", which further improves the collection efficiency and accuracy of field data. Secondly, the agricultural management function as an important part of the agricultural brain includes the four main tasks of irrigation, fertilization, plant protection, and horticultural management in the production of the crop industry. The main operations and changes in the four major agricultural operations. This is equivalent to providing a "global fine-grained perspective" data display, comparison and monitoring for Haisheng Group's field engineers.
Not only that, when constructing the agricultural brain, Alibaba Cloud and Haisheng Group were also trying to "direct the cultivation of planting decisions in a digital and intelligent manner": First, by calling the external weather data interface, the weather forecast function of the agricultural brain Four core weather data of temperature, wind direction, rainfall and relative humidity can be obtained in real time every day for the next 15 days. At the same time, provide local historical temperature, humidity, sunshine, wind speed and other weather data of the past 10 years. By comparing the predicted data with historical data, field engineers can make more accurate predictions and timely responses to future weather conditions.
Secondly, in the plan management function, after the crop phenological period is determined, the appropriate historical planting plan can be screened according to multiple dimensions such as tree age, tree species, tree historical fertilization records, leaf detection report, etc., agricultural management helps field engineers excavate The most optimized planting plan, combined with the field engineer's adjustment of fertilizer formulation and other aspects, can generate the recommended planting plan. This actually builds a farming decision-making and early warning engine based on historical data and standardized, for irrigation, fertilization, application Agricultural and other agricultural operations give preliminary reference suggestions and planting plans. The realization of this function has laid a solid foundation for the future construction of agricultural intelligent assistant decision engines.
Caption: Alibaba Cloud mobile agricultural management application and DATAV agricultural data information large screen
With agricultural management as the core, Alibaba Cloud and Haisheng Group have completed the construction of the agricultural brain phase I project, which has effectively improved the visualization and process level of Haisheng Group ’s agricultural planting, especially through the agricultural big data center to achieve data The system's systematic clouding has solved the problem of data integration and historical data integration that have long plagued Haisheng Group, allowing agricultural production to have a clear, accurate and real-time "digital map" for the first time, and the entire agricultural brain phase I On-line application of the project is expected to help Haisheng Group reduce the production cost per mu of land by 200 yuan during planting and production, and the total cost will be saved by about 20 million yuan.
From traditional planting-based model to provide industrial infrastructure services
At present, Alibaba Cloud and Haisheng Group have started the second phase of cooperation: realizing intelligent decision-making for agricultural planting machines, and making AI a field engineer of Haisheng Group. In the future, using the agricultural big data center and the agricultural brain, Haisheng Group ’s planting experience, knowledge, and decision-making system will become a replicable and exportable digital product and intelligent service, in addition to the traditional investment in planting and planting across the country. Bases, for local governments and planting enterprises that want to improve the level of planting industry, not only can they import superior varieties, planting base construction experience, agricultural machinery use and management methods from Haisheng Group, but also include planting management, agricultural operations, (Based on agricultural intelligent assistant decision engine) The agricultural brain of the planting plan design-Haisheng Group will transform from a simple planting enterprise to a planting industry infrastructure service provider that includes a modern planting technology system, becoming a domestic and even global Planting enterprises that are empowered externally.
Text: Cui Hao (Senior Strategy Specialist of
Alibaba Cloud Research Center) Editor-in-Chief: Li Shuanghong Zhang Jingjing
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