Hand-held supervisory system based on Internet of Things and gas identification technology for nitrogen fertilizer in soil

Abstract

The invention provides a hand-held supervisory system based on Internet of Things and the gas identification technology for a nitrogen fertilizer in soil. The hand-held supervisory system comprises asoil analyzer and a server, wherein the soil analyzer comprises a power module for powering up the soil analyzer, a sensor for acquiring a gas signal of the soil surface layer by use of a gas sensor array, a central processing unit for receiving the signal of the sensor, judging gas concentrations and gas types and figuring out fertilizer contents according to the gas concentrations and fertilizertypes according to the gas types, and a data transmitting module for receiving and sending the signal analyzed and processed by the central processing unit; the server is used for receiving the signal sent by the data transmitting module, storing and analyzing the signal to obtain an appropriate fertilizing amount and a fertilizing matching scheme and sending the scheme to a client. According tothe hand-held supervisory system, the multi-component gas analysis method is adopted, so that the ingredient contents of the nitrogen fertilizer in soil can be analyzed and figured out in real time; therefore, the hand-held supervisory system has very strong timeliness, and further has the advantages that the price is low, the operation is simple and the effect is intuitive.

Description

technical field [0001] The present invention mainly relates to the technical fields of Internet of Things agriculture and precision agriculture, and specifically relates to a handheld monitoring system for soil nitrogen fertilizer based on Internet of Things and gas identification technology. Background technique [0002] China began to pay attention to and properly introduce precision agriculture in the late 1990s. In recent years, China has developed rapidly in the demonstration research of precision agriculture. On the basis of introducing, digesting and absorbing foreign research results, research and discuss the precision agriculture technology system suitable for China's national conditions. It is widely accepted by the society and has some application in practice. [0003] In the field of precise fertilization, the recommended methods of fertilization often require the use of chlorophyll meters and spectral analyzers. These two instruments are used to judge the amoun...

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Problems solved by technology

The problem with these two methods is that the phenomenon of plants due to lack of fertilizer must first be seen, and then the relevant topdressing work should be carried out, and relevant suggestions cannot be given before there is no phenomenon.

[0004] At this stage, the common sensors used in the agricultural Internet of Things are only temperature and humidity sensors, which can display temperature and humidity data, and only set the corresponding relationship between the test address of the measurement point and the correction value of the measurement point. However, the measurement data of this method is single and limited. Applied to irrigation systems, but helpless for fertilization systems

At present, the methods for analyzing fertilizers in soil on the market are roughly divided into chemical analysis method and chlorophyll analysis method. The chemical analysis method is to make a culture solution after sampling the soil, and analyze it through a large-scale chemical composition analysis instrument. The data is accurate, but it requires It takes about 1 day or even longer to find professional testers and testing instruments, so the real-time performance is poor, and only a small amount of soil can be selected for analysis in each test, so it is difficult to guess the chemical fertilizers in the actual soil chlorophyll analysis method is to take the content of each pigment in the liquid, and determine whether fertilization is needed according to the state of the leaves (such as chlorophyll content), and the real-time performance is relative to chemical analysis. The method has been improved, but it can only detect an area of ​​less than 1 square centimeter each time, so the analysis sample is very small, not representative, not suitable for outdoor use in farmland, and expensive

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