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Time:2024-05-03 11:29:30 Popularity:204
The help of automatic weather station to agricultural production is mainly reflected in the following aspects:
1. Precision irrigation: automatic weather stations can monitor soil humidity, precipitation, evaporation and other data to help farmers judge the best time and amount of water for irrigation, so as to realize precision irrigation and save water resources.
2. Pest management: By monitoring temperature, humidity, wind speed and other meteorological elements, combined with the meteorological conditions under which pests and diseases occur, automatic weather stations can help predict and control pests and diseases, reduce the use of pesticides and improve the quality of crops.
3. Crop growth monitoring: automatic weather stations can monitor light, temperature, humidity and other environmental factors critical to crop growth, helping farmers optimize crop planting management and improve yields.
4. Early warning of agrometeorological disasters: automatic weather stations can monitor weather changes in real time and provide early warning of possible meteorological disasters (such as frost, hail, drought, flooding, etc.), so that farmers can take timely countermeasures to reduce losses.
5. Agricultural climate zoning: the long-term accumulation of meteorological data from automatic weather stations can help carry out agricultural climate zoning and guide farmers to choose suitable crop varieties and planting methods.
6. Automated control: In some modernized agricultural facilities, such as intelligent greenhouses, the data from automatic weather stations can be combined with automated control systems to realize automatic adjustment of temperature, humidity, irrigation, etc., so as to create the best growing environment for crops.
7. Agricultural insurance: The weather data provided by automatic weather stations can be used as the basis for agricultural insurance, helping farmers to get compensation when suffering from natural disasters and reducing agricultural risks.
In these ways, automatic weather stations provide scientific data support for agricultural production, help farmers better cope with changes in natural conditions, and improve the stability and efficiency of agricultural production.
Practical application cases of automatic weather stations in agriculture:
1. Tobacco Cultivation: In some areas of China, tobacco cultivation is an important way for farmers to increase their income. However, meteorological disasters such as heavy rainfall, drought and hailstorms have serious impacts on the growth and development of tobacco leaves, resulting in reduced production and income. After installing small automatic weather stations, farmers can obtain detailed and timely weather information, so as to scientifically respond to natural disasters and reduce disaster losses.
2. Livestock and poultry farming: Weather conditions have a great impact on livestock and poultry farming activities. Through the establishment of small automatic weather stations, farmers can keep abreast of the weather conditions, enhance the ability to cope with natural disasters, help avoid risks, and improve farming efficiency.
3. Pear tree farming: Pear trees are particularly sensitive to inverted spring cold and hailstorms. Without adequate meteorological data support, it is more difficult to prevent these disasters. After establishing a small automatic weather station, pear farmers can carry out fumigation on pear trees when the spring cold occurs according to the weather forecast, and carry out hail prevention operations in time before the arrival of hailstorms, thus effectively reducing disaster losses.
These cases show that automatic weather stations not only provide accurate meteorological data, but also help farmers carry out scientific agricultural management and decision-making, thus improving agricultural production efficiency and farmers' quality of life. At the same time, automatic weather stations also play an important role in disaster warning and prevention, ensuring the stability and safety of agricultural production.
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