In the past, in order to obtain first-hand information on crop planting in a timely manner, agricultural workers often manually collected and analyzed weather data in-person in the field. Although this method is common, can it keep pace with the efficient development of modern agriculture? Is there a way to allow users to master the comprehensive ecological information of agriculture without any effort? No doubt, yes! The new small-scale meteorological station researched and developed by Topsun has enabled agricultural weather detection methods to be at the forefront of the times, allowing users to anticipate the impending severe climate in advance and play an important predictive role in the prevention of agricultural meteorological disasters.
As we all know, agricultural meteorological disasters are an important natural enemy that threatens agricultural production and quality. In Guizhou, where many disasters occur frequently, the abundance of agricultural agronomy in the region is largely determined by the existence of a wide range of persistent summer droughts. It is reported that in 1995, the Tongren region in Guizhou suffered a catastrophic flooding in the summer and suffered more than 20 days of high temperature and drought, which caused a significant reduction in autumn grain production in the area. In 1994, Guizhou's climate was very suitable for rice growth, making Guizhou's total grain output reach 9.316 million tons this year, setting a record high. It can be seen that climate conditions and meteorological disasters are directly related to the agricultural production results. However, agricultural workers can only promote disaster prevention and resilience to promote the sustainable and stable development of agricultural production. So how does agriculture carry out disaster prevention and resilience work?
It is a good idea to have a variety of disaster-resistant crops in hard-hit areas. However, this can only be a temporary solution, but it is also important to learn how to use climate conditions to avoid or mitigate the hazards of meteorological disasters and ensure that farmers increase production and income. For example, the use of small weather stations can implement automatic monitoring of agricultural comprehensive ecological information, real-time monitoring, and transmission of data through wireless networks, so that farmers can timely and accurate access to scientific farming data, improve the ability of drought in rural areas and farmers.
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