With the advancement and development of technology, meteorological monitoring data has become increasingly precise. Agricultural production is an industry highly susceptible to meteorological changes and has a relatively low capacity to withstand natural disasters. Therefore, meteorological inspection services play a crucial role in agricultural development, especially for water-saving irrigation systems that emphasize precise control and irrigation. Below, CHENGSA Holdings explains the main aspects in which meteorological data impacts water-saving irrigation systems.

1. Irrigation Based on Meteorological Thresholds

The irrigation schedule of a water-saving irrigation system is highly correlated with meteorological factors. It is well known that irrigation should be delayed during rainfall. However, how much rainfall triggers the need for a delay function? How long should the delay be? When is irrigation needed for cooling or frost prevention? When should irrigation be avoided to prevent low temperatures? What level of rainfall leads to nitrogen leaching? All these questions are closely related to local meteorological, soil, and crop data. Based on vast and accurate local data, combined with artificial intelligence analysis, local patterns can be gradually understood, and meteorological data thresholds related to irrigation for specific crops can be established.

2. Pest and Disease Warning

Pests and diseases are highly correlated with temperature and humidity. Real-time weather monitoring data, combined with cloud analysis and the mathematical models of "E Ecology," can provide early warnings for corresponding pests and diseases. This alerts users to take protective measures, thereby playing a role in disaster prevention and mitigation, and avoiding losses due to disasters.

In summary, scientifically determining irrigation quotas for different regions, focusing on improving the water use efficiency of water-saving irrigation systems, conducting feedback learning for each irrigation event, and accumulating water and fertilizer requirement models throughout the crop's growth cycle can save significant labor, improve management efficiency, enable rapid response to meteorological data, save water and fertilizer, and achieve the goals of high agricultural yield, efficient resource use, and environmental friendliness. This is also the original intention behind promoting water-saving irrigation technology.