Low-Power Wireless Agricultural Weather Stations: Cloud Data and Smart Alerts for Precision Agriculture

Agricultural production is closely tied to climatic conditions. Meteorological factors such as temperature, light, precipitation, and wind speed directly influence crop growth and development, the occurrence of pests and diseases, and yield quality. Traditional weather stations have a broad monitoring scope, with their data mostly reflecting regional macro-climatic characteristics. They struggle to accurately cover micro-climatic variations in small farmland areas, failing to meet the needs of refined planting decisions. In the process of modern agriculture's transformation toward intelligence and precision, Agricultural Weather Stations serve as new monitoring tools, providing critical data for climate management.

Agricultural Weather Stations integrate multiple high-precision sensors to real-time monitor key meteorological elements, including air temperature and humidity, light intensity, soil temperature and humidity, wind speed and direction, air pressure, and rainfall. Air temperature and humidity monitoring accurately reflects the thermal and humid conditions of the field microclimate, providing a basis for judging crop growth stages, selecting irrigation timing, and issuing pest and disease warnings. Light intensity monitoring helps reasonably adjust planting density and select shade-tolerant or sun-loving crop varieties. Soil temperature and humidity monitoring enables precise mastery of root growth environments, guiding precision irrigation and water-saving management.

Data collected by all sensors is stably transmitted to cloud data platforms or local terminal devices through low-power wireless transmission modules or wired networks. The data processing system achieves dynamic visual display of data, generating intuitive charts such as temperature curves, humidity change graphs, and light duration statistical tables. When monitored data exceeds the suitable growth range for crops, it automatically sends alarm messages to farmers' mobile phones. It can generate analysis reports containing daily average values, extreme values, and cumulative values of meteorological elements, providing quantitative basis for planting decisions. This effectively compensates for the shortcomings of traditional meteorological data in spatial accuracy and decision support, driving agricultural production toward refinement and intelligence.