Shandong Fengtu IOT Technology Co., Ltd
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
Sales Manager:Ms. Emily Wang
Cel,Whatsapp,Wechat:+86 15898932201
Email:info@fengtutec.com
Add:No. 155 Optoelectronic Industry Accelerator, Gaoxin District, Weifang, Shandong, China
time:2025-01-16 09:21:45 source:Weather Station viewed:88 time
Large - scale field agriculture features large - scale planting and vast land areas. In large - scale farms in regions such as Northeast and North China, the planting area can reach thousands or even tens of thousands of mu. The types of crops are relatively single, mainly including food crops such as wheat, rice, and corn, as well as economic crops such as cotton and soybeans, which facilitates mechanized operations and unified management.
However, large - scale field agriculture is highly dependent on weather conditions. Fluctuations in climate, changes in soil fertility, and the abundance or scarcity of water sources can all have a significant impact on the growth and final yield of crops. Moreover, in some areas, the production management methods are still relatively traditional and extensive, lacking precision in obtaining and applying farmland environmental information.
Agricultural meteorological stations can collect key environmental data such as soil moisture, temperature, nutrient content, as well as air temperature and humidity, light intensity, and carbon dioxide concentration 24 hours a day through various weather stations and sensors deployed in the fields. These data are presented in real - time and dynamically. With the help of mobile APPs or computer - based software, farmers can check the immediate environmental conditions of the farmland at any time, no matter where they are, thus having a thorough understanding of the farmland environment.
The system has a large storage capacity and can classify and store the long - term collected farmland environmental data and crop growth data. Through in - depth analysis of these historical data, it is possible to summarize the laws of farmland environmental changes and crop growth characteristics in different seasons and years. Based on these analysis results, farmers can optimize planting strategies, arrange agricultural activities reasonably, and also provide strong data support for future agricultural production planning, continuously improving the scientific nature and sustainability of agricultural production.
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