Application of wind anemometer to dig deeper potential of meteorological big data application

    At present, with the further advancement of featured agriculture, precision agriculture, and facilities agriculture, major adjustments have been made in the planting structure in the agricultural sector. The planting methods are constantly changing, and the scale and degree of planting are constantly increasing. At this time, it is necessary to ensure stable agricultural production. High-yield, it is necessary to do a good job in monitoring and forecasting agricultural weather disasters. Application of wind aeosity instruments and other specialized agricultural meteorological instruments for meteorological environment monitoring and data collection can further tap the potential of meteorological big data applications to provide refined and scientific agricultural meteorological services for the development of modern agriculture.

    Wind anemometer

    “Disaster prevention and reduction, weather first” is an important principle that persists in agricultural production. Only when the monitoring and early warning of agricultural meteorological environment is done, the effectiveness and value of disaster prevention and reduction can be highlighted to truly ensure agricultural stable production and high yield. Through scientific and technological innovation, the active promotion of wind-driven anemometers and other agricultural meteorological instruments into the fields will provide decision support for the government's command of disaster prevention and reduction, and guide farmers to scientifically arrange agricultural activities and minimize disasters.

    At the same time, the application of wind anemometer to dig deeper meteorological big data can also better serve the development of agricultural scientific research and bring the potential of meteorological big data into full play. For example, in agricultural research, weather meteorological instruments such as wind anemometers are used to monitor and record agricultural meteorological data, and these data are combined with the growth status of crops. Through comparative analysis, agricultural meteorological indicators of crop growth can be gradually determined. Accumulation of basic data for analysis of climatic conditions suitable for crop growth, and then more scientific crop cultivation in agricultural production, further enhance the growth potential of crops.

    Agricultural meteorology is changing rapidly, and the impact of unfavorable weather disasters on crops is also very large. In the agricultural field, we have used good wind-borne anemometers and other scientific instruments to dig deeper the potential of meteorological big data applications to not only better grasp the changes in agricultural meteorology, but also It seeks advantages and avoids harm, and scientifically prevents and mitigates disasters. It can also provide important support for the development of science and technology agriculture and promote the efficient development of modern agriculture.

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