The Design And Implement Of Soil Testing Formula And Soil Multi-parameter Analysis System

In recent years,with the rapid development of China's Internet and Internet of Things technologies,the construction of agricultural informatization has entered a new stage.As an important basic element for the sustainable development of agriculture,farming soil has always been valued by all countries.However,at present,no matter whether it is an individual farmer or a general farm in China,there is no tracing and analysis of the important parameters of soil symmetry with agricultural informatization,on this basis,there is no effective soil testing formulation and analysis system establishment and implementation.This project is based on the agricultural scientific research project of the Science and Technology Bureau of Xi'an City.It has designed and completed a soil testing formulation and a multi-parameter soil analysis system.Through the actual research and demanding analysis of the subject,the users of the system are individual farmers and ordinary farms and related staff.Based on the data of the multi-parameter acquisition and transmission subsystem of soil,facing individual farmer,a soil testing formulation and a soil multi-parameter analysis system were designed.The soil temperature,humidity,PH value and nutrient data were stored at server database;a mathematic model for soil testing and formula fertilization was established and a comprehensive soil testing formulation result could be quickly given based on the soil and crop conditions of the farmer;the farmers in different areas could also be collected and stored.The soil and crop information provide a true data base for later research.Based on the data of the multi-parameter collection and transmission subsystem of soil,the basic farms were designed to complete the user basic information management,soil moisture management,nutrient data management,and corresponding visualization and soil testing formulas.For these basic data,the author tried to use the method of machine learning to evaluate the soil fertility,designed the algorithm model of soil fertility assessment,and conducted simulation experiments on Matlab.Experiments show that the method used by the author can perform more effective evaluation of soil fertility.This research is based on actual soil nutrient data of on-site farmers or farms,combined with important physical and chemical environmental data such as soil temperature and humidity and PH value,to construct a more reasonable and real-time comprehensive soil testing formula and soil fertility evaluation software.system.After system testing,all software functions are running normally.