Soil moisture monitoring equipment

Less soil moisture can be direct (reduced photosynthetic raw materials) or indirect (stomatal closure, enzyme inactivation, etc.). It affects the decline of photosynthesis and becomes the main limiting factor of photosynthesis. Lack of water can also cause crop death, because the total volume of soil crevices is fixed, and water and air occupy this part of the volume. Then when the water is too little, the root system of the plant absorbs insufficient water, and the transpiration of the plant causes the plant to lose a lot of water, which leads to the wilt of the plant after the water loss. When the soil is very short of water, the tension generated by soil compaction and cracks will destroy the roots of the plant, and in severe cases, the plant will die. When there is too much water, the proportion of air is small, resulting in reduced aerobic respiration of plant roots, forcing plant roots to turn to anaerobic respiration. Anaerobic respiration causes alcohol poisoning in plant roots, leading to root rot and, in severe cases, plant death.

In order to monitor soil moisture, soil moisture sensors can be used to make timely decisions about whether to irrigate or stop irrigation through data, thus ensuring that soil moisture is suitable for crop growth.

Soil moisture monitoring equipment is a new intelligent system. It integrates the Internet of Things technology and artificial intelligence technology, and is powered by solar energy to efficiently complete automated monitoring tasks.

The self-produced soil moisture monitoring system takes real-time soil moisture, agricultural conditions, water storage and drainage of water conservancy projects as data sources, adopts advanced soil moisture sensors and other advanced equipment, combines the mathematical model suitable for the region, and relies on the Internet of Things monitoring platform to establish a decision support system integrating real-time soil moisture monitoring, information management, query service and prediction analysis. Scientific formulation of drought control plan provides decision support for correct command of drought relief and minimizing disaster losses.