In-depth Analysis of Water and Fertilizer Integration

Agricultural innovation has ushered China into the era of intelligent agriculture, with water-fertilizer integration being the most representative example. However, many people only know that water-fertilizer integration is an irrigation and fertilization system, and are largely unaware of its more nuanced technologies. Yongrun Irrigation will take you on an in-depth analysis of water-fertilizer integration today. The water-fertilizer integration system consists of a cloud platform, soil moisture data acquisition terminal, video monitoring, fertilizer machine, filtration system, valve controller, solenoid valve, field pipelines, etc. The entire system can establish and implement periodic water-fertilizer plans based on monitored soil moisture and crop-type fertilizer requirements. According to the user-defined formula and irrigation process parameters, the fertilizer machine can automatically control important parameters of the water-fertilizer process, such as irrigation amount, fertilizer absorption, fertilizer solution concentration, pH value, etc. This achieves timed and quantitative control of irrigation and fertilization, significantly improving water and fertilizer utilization rates, saving water and fertilizer, and improving the soil environment. It is widely used in field, dryland, greenhouse, orchard, and other planting and irrigation industries. The water-fertilizer integrated machine relies on advanced electronic sensing equipment and a cloud platform. By collecting soil moisture data on-site, farmers can better understand how to manage crops more scientifically and accurately based on data, truly achieving automated and intelligent control. With the rapid development of the social economy, the shortage of agricultural resources, unreasonable production methods, and the gradual expansion of agricultural resource occupation will severely restrict the development of agriculture in China. Through the integration of agricultural cloud computing and big data and future mining applications, the development of intelligent agriculture is a good way out for agricultural development.