+86 15898932201The Agricultural four conditions monitoring system in modern agricultural industrial parks is an important tool to ensure efficient agricultural production.
This system consists of four parts: a micro - environment monitoring system for field crop growth, a field soil moisture information monitoring station, a pest and disease monitoring system, and a soybean growth monitoring station. The micro - environment monitoring system for field crop growth collects meteorological data such as atmospheric temperature and humidity, light intensity, wind speed, wind direction, and radiation. These data reflect the atmospheric environment of crop growth and provide a basis for farmers to judge environmental impacts. For example, light intensity guides light - supplementing measures, and wind speed and direction assist in wind - proof decision - making.
The field soil moisture information monitoring station focuses on monitoring the temperature and humidity of different soil layers from 0 to 80 cm. Soil moisture is of great significance for the growth of crop roots, and its data can help farmers determine the best timing and amount of irrigation to ensure that the soil is suitable for crop growth.
The pest and disease monitoring system monitors the pest and disease situation of crops in real - time, which helps farmers detect and take preventive measures as early as possible, avoid large - scale outbreaks of pests and diseases that damage crops, and ensure yield and quality.
The seedling situation monitoring station obtains crop growth image and seedling situation data every hour, presenting the growth state of crops in terms of plant height, number of leaves, and color, helping to understand their growth process and health status.
With the help of the "four - situation" monitoring system, farmers can monitor and diagnose key parameters such as crop growth, pests and diseases, soil moisture, and air temperature in real - time. The uploaded parameters enable managers to remotely view data and trends. The platform collects the "four - situation" data of crops around the clock in real - time according to the process of data collection, classification, analysis, and result push, and stores them in the thematic database of the smart agriculture data center. Computer and agronomy professionals analyze and maintain the data, including the suitable range of the growth environment, growth models, and early - warning and forecast analysis. The analysis results are regularly pushed to farmers, enabling one person to manage hundreds of acres of farmland, saving manpower. Farmers adjust management according to the feedback to ensure the good growth of crops, manage farmland scientifically and efficiently, and promote the improvement of agricultural quality and efficiency.
Article address：https://www.sqqx.net/en/news/327.html
