An intelligent agricultural big data service platform

Abstract

The invention provides an intelligent agricultural big data service platform, and relates to the technical field of agricultural big data. The intelligent agricultural big data service platform comprises an access layer used for agricultural information collection and agricultural big data displa, an agricultural application system layer based on agricultural big data, an agricultural big data application support layer for providing software and hardware support for the whole platform, and a network layer consisting of the internet, the government affair network, the internet of things and themobile communication network. the network layer is connected with the agricultural big data application system layer through the agricultural big data application support layer, and the agriculturalbig data application support layer is connected with the access layer through the agricultural big data application system layer. The intelligent agricultural big data service platform mainly providesscientific basis and aid decision making for leaders of agricultural departments at all levels and government competence; A public information service platform is provided for all levels of agricultural departments, agricultural-related enterprises and the masses, and an agricultural informatization platform for efficient management and application of agricultural production, operation, management, sales and service full-chain agricultural data is achieved.

Description

technical field [0001] The invention relates to the technical field of agricultural big data, in particular to a smart agricultural big data service platform. Background technique [0002] Agriculture is the foundation of the national economy. With the improvement of agricultural industrialization and scale, and Internet of Things technology, cloud computing technology, big data technology, geographic information system, remote sensing and global positioning system technology are more and more widely used in the agricultural field , the traditional agricultural farming mode has gradually exposed some shortcomings, mainly reflected in: First, the severe island of agricultural information. The agricultural sector is managed in sections, and the departmental application systems are mostly vertical and isolated systems, with a low degree of information sharing. Second, the comprehensive utilization rate of data is not high. Agricultural data involves many types of data, inconsi...

AI Technical Summary

Problems solved by technology

Agricultural products fluctuate greatly due to the influence of the market, but farmers have limited access to market information, and it is difficult to grasp the latest market information in a timely manner, resulting in a disconnection of information between agricultural producers and consumers

Fourth, extensive management

my country's agricultural production is relatively scattered, and it is difficult to collect and analyze agricultural-related data. It is difficult to achieve accuracy, efficiency and timely processing, resulting in inaccurate agricultural decision-making.

[0003] The above-mentioned disadvantages of the traditional agricultural farming mode lead to the inability of the traditional agricultural information system to solve the following problems, which can only be solved by the integration of modern information technologies such as the Internet of Things, cloud computing, big data and "3S" technology with agriculture : First, how to realize data sharing and exchange among various agricultural departments and other government departments, so as to achieve the purpose of inter-departmental information interconnection; second, how to make scientific decisions through agricultural product market information and climate and meteorological information, and guide farmers to rationalize crops Planting, to avoid the phenomenon of "price without market" or "market without price", to achieve the balance of supply and marketing of agricultural products; the third is how to effectively monitor the crop environment through IoT sensors, so as to achieve the best growth environment for crop growth and Fertilization scientifically enables crops to obtain relatively high yields, thereby increasing farmers' income; fourth, how to identify agricultural products and inputs through QR codes, bar codes, etc., to achieve effective management and quality and safety traceability of agricultural products and inputs; fifth is How to use the Internet to develop agricultural e-commerce and agricultural leisure tourism, help farmers broaden the sales channels of agricultural products, solve the problems of unsalable agricultural products and ways to increase income

Images