Recently, a technical exchange meeting for the agricultural four situation monitoring system developed by Shandong Tianhe Environmental Technology Co., Ltd. was held in Weifang. At the meeting, many industry professionals and customer friends arrived at the scene. After understanding, everyone highly affirmed and fully recognized the product.

At the meeting, Manager Yu of Tianhe Environmental Technology Co., Ltd. introduced, "The Agricultural Four Situation Monitoring System is a modern agricultural monitoring system based on the Internet of Things, big data, and artificial intelligence technologies. Through the integration of sensors, communication networks, and intelligent analysis platforms, it monitors the four core elements of soil moisture, crop seedling conditions, pests and diseases, and meteorological disasters in real time, providing accurate decision support for agricultural production

core functionality

Real time monitoring and early warning

Soil moisture: Real time monitoring of soil moisture and nutrients, guiding precise irrigation and fertilization, avoiding water resource waste and soil pollution. For example, when the soil moisture is below the threshold, the system automatically triggers irrigation reminders.

Insect monitoring: Combining historical data and meteorological conditions to predict pest outbreak trends and issue early warning information. For example, by analyzing temperature and humidity data, predicting the risk of rice planthopper outbreaks.

Meteorological disaster warning: Integrating meteorological data and satellite remote sensing images, real-time monitoring of disasters such as drought, floods, and cold waves, evaluating the scope and degree of impact, and providing decision support for disaster prevention and reduction.

Seedling monitoring: By analyzing growth indicators, identify abnormal crop growth (such as yellowing leaves and insufficient plant height), and guide targeted management measures (such as applying nitrogen fertilizer and pruning branches and leaves).

Data driven precision management

The system generates personalized planting suggestions based on monitoring data, such as adjusting irrigation cycles, optimizing fertilization plans, selecting biological control measures, etc., to improve resource utilization efficiency and reduce production costs. For example, in the application of Taining rice base, the system helps reduce pesticide use by 20% and increase yield by 15%.

Visualization and Remote Control

Management personnel can view monitoring data and trend charts in real-time through mobile apps or computer web pages, remotely control irrigation equipment, fertilization systems, etc., and achieve "unmanned" farmland management. For example, remotely starting a water pump for irrigation through a cloud platform.

This exchange meeting has been a complete success, and we welcome customers with such needs to come.