UK: Big Data Integration "Precision Agriculture"

With the increasing application of information technology in the field of agriculture, agricultural informatization has been integrated into the agricultural industry and has become one of the most active production factors. It has an important role in accelerating the transformation of agricultural development methods and building modern agriculture. At present, accelerating the development of informatization and promoting the integration of informatization and modernization have become important trends in the development of agriculture in various countries.

UK: Big Data Integration "Precision Agriculture"

In recent years, due to climate change and the increasing intensity of global agricultural production competition, the British agricultural sector has experienced significant fluctuations. The British Ministry of Environment, Food and Rural Affairs believes that in order to meet the above challenges, on the one hand, British agriculture needs to move towards "precision agriculture", combining digital technology, sensing technology and spatial geography technology to conduct planting and breeding operations more accurately; On the other hand, it is necessary to improve the connection between the agricultural production sector and market demand and strengthen their understanding of the market. The basis of this series of requirements is a powerful data collection and analysis processing platform.

At the same time, the British Agricultural Association has repeatedly called on the government to introduce an agricultural information development strategy. Among its 10 policy recommendations, two of them are closely related to the development of agricultural informatization: one is to require the government to achieve full broadband coverage in rural areas, and the other is to require the government to establish appropriate platforms and channels to summarize and analyze accurate agricultural production information.

In this context, the British government has specifically launched the "Agricultural Technology Strategy", which attaches great importance to the use of "big data" and information technology to improve agricultural production efficiency. Colin Adams, of the University of Edinburgh's School of Information, who participated in the development of this strategy, believes that agriculture may be the latter industry facing informationization and digitalization. Big data will be the key to increasing agricultural crop production and animal husbandry in the future, and also improving the agricultural sector The key to market understanding. The core problem in the future is to fuse a large amount of data for proper and scientific analysis to promote the development of agriculture.

The recent core of the "Agricultural Technology Strategy" is to establish a series of agricultural innovation centers based on the "Agricultural Information Technology and Sustainable Development Indicators Center". The Agricultural Information Technology and Sustainable Development Indicators Centre is regarded as the basis for the development of agricultural Agriculture UAV Drone informatization in the UK. Judith Bachella, head of British agricultural technology strategy, believes that the impact of big data and informatization development on British agriculture is fundamental, and it must be included in future agricultural innovation and development. Therefore, agricultural information technology and sustainable development The development indicator center is the foundation of other agricultural innovation centers in the future.

The Agriculture UAV Drone Agricultural Information Technology and Sustainable Development Indicators Center serves as the foundation and first part of this strategy. Its goal is to provide one-stop services for enterprises, research institutions and universities to develop potential markets. By integrating data from the agricultural production chain, using statistics, Establish models and visual intelligent analysis to determine solutions to improve agricultural production efficiency.

The overall framework arrangement for promoting the development of agricultural informatization in the UK reflects the characteristics of the combination of "industry, research and research". Government departments such as the Department of Environmental Food and Rural Affairs, the Department of Business Innovation and Skills, and relevant academic institutions and agricultural production and technology companies have jointly established the "UK Agricultural Technology Leadership Council", which is responsible for the implementation of the overall strategy. In order to promote the full integration of agricultural production and marketization with "big data" and information technology, the Centre includes domestic research institutions and enterprises of information technology and agricultural technology, including the Lausanne Institute, the University of Reading, the Scottish Agricultural College, British Agricultural Botanical Society, etc. The Lausanne Research Centre, where the centre is located, will provide modeling and statistical services for British agricultural information technology; the University of Reading will provide data science services; the Agricultural Botanical Society and the Scottish Agricultural College provide agricultural technology information exchange. The UK Department of Business Innovation and Skills is also continuously encouraging other research institutions, agribusiness and technology companies to participate in the operation of the centre.

In order to facilitate all participants in the agricultural technology strategy to achieve data sharing and results utilization, the British government has established an open data policy for the centre. The core business of the center is to build and improve data science and modeling platforms to collect and process all public and primary industry data in the agricultural industry chain. In the future, the center will also develop necessary service software so that different users can obtain and integrate data according to their own needs, and obtain data analysis results and resolution paths.