China’s agriculture is transforming from traditional rough agriculture to agricultural modernization and precision agriculture.As a representative of agricultural modernization,the integrated technology of water and fertilizer in facility agriculture plays an important role in the development of agricultural modernization.Due to the lack of resources,my country has proposed a basic policy of one control,two reductions,and three basic policies.However,the existing domestic development of integrated water and fertilizer equipment for facility agriculture has problems such as unscientific selection of fertilization formula and inaccurate fertilization.Through the analysis of Wen Xuefei’s experimental data,it is concluded that there are large differences in the effective nutrient supply in the soil of different fields,and a fertilization formula decision model based on the effective nutrient content of the soil is proposed.Based on the study of the variation law of nitrogen concentration in the soil,a method for judging fertilization time and a fertilization control method based on PI control are proposed.Based on the cloud service architecture of the Internet of Things,the hardware selection and software and hardware design of the water and fertilizer integration equipment are carried out.The Internet of Things monitoring system,expert system,and expert assistance system are built on the cloud server.Through calculation,it is verified that the fertilization formula decision-making model based on soil effective nutrient content can comprehensively consider the price,soil environment,and crop information to realize scientific formula selection when selecting the formula,and improve the economic benefits of users.The fertilization time judgment method and the fertilization control method based on PI control improve the accurate control of the effective nutrient concentration in the soil during the fertilization process.The function and stability of the integrated equipment and system of water and fertilizer for facility agriculture based on cloud service were tested through experiments. |