Four major agricultural data development directions in the world

    UK: Big Data Integration for Precision Agriculture

    In recent years, the income of the UK agricultural sector has experienced many significant fluctuations due to climate change and the increase in the competitiveness of global agricultural production.

On the one hand, British agriculture needs to move towards "precision agriculture", combining digital technology, sensing technology and spatial geography technology to carry out more precise planting and breeding operations; Strengthen its understanding of the market. The basis of this series of requirements is a powerful data collection and analysis and processing platform.

    The core of the "Agricultural Technology Strategy" is to establish a series of agricultural innovation centers based on the "Center for Agricultural Information Technology and Sustainable Development Indicators". In order to promote the full integration of agricultural production and marketization with "big data" and information technology, the center includes the top research institutions and enterprises in information technology and agricultural technology in the UK.

     France: Big Data Precision Agriculture

    Traditional agriculture is encountering the impact of the Internet. Sensors, Internet of Things, cloud computing, and big data not only subvert the manual labor method of sunrise and sunset, but also break the extensive traditional production mode and move towards intensive , precision, intelligence, and dataization, agricultural production has obtained the industrial attribute of "industry-like".

Israel: Innovative new technology agriculture

    Israel has always been known for its strong technological innovation capabilities. While many countries are still trying to explore the ways and means of using big data, Israel, known as the "country of innovation", has achieved fruitful results on this road, made its own characteristics, and displayed a colorful picture of the application of big data. .

    Israeli agriculture has a high informatization and digital foundation. Many agricultural technology innovation companies use big data to help Israeli farmers and provide more personalized farming solutions according to the specific conditions of different farms. Using the big data analysis method, the plant model technology including forecasting weather, irrigation and pests and diseases has been launched. This technology uses big data resources such as satellite images, field growth reports of crops and local pests and diseases to establish a plant growth model, and takes visual data at any time to predict plant diseases and pests. Risks and climate change allow farmers to further refine the threshold and direction of atomized irrigation equipment, the amount of fertilizers and pesticides used, etc., based on forecast data, to increase yields and reduce costs.