Agricultural Internet-of-Things big data analysis method

Abstract

The invention relates to an agricultural Internet-of-Things big data analysis method in the technical field of rice planting. A controller is arranged, and comprises a power supply module and a data processing module, the data processing module is connected with a data acquisition module through RS-485, the controller is provided with a processing system through a CAN bus, the processing system comprises an analysis module, a big data mapping module, a diagnosis module and a result output module, the analysis module is connected with the big data mapping module, the big data mapping module isconnected with the diagnosis module, and the diagnosis module is connected with the result output module. According to the invention, the controller, the data processing module, the data acquisition module, the analysis module, the big data mapping module, the diagnosis module and the result output module cooperate with each other, overall analysis of rice real-time data is realized, and mapping processing is performed on an analysis result and a big data state automaton, so that rice growth change or rice seed quality change trend is known, optimal operation of workers is facilitated, and stable growth and yield increase of rice are facilitated.

Description

technical field [0001] The invention relates to the technical field of rice planting, in particular to an analysis method for big data of the agricultural internet of things. Background technique [0002] Paddy rice is a cereal crop belonging to Oryza genus, and the representative species is rice. Rice is native to China and India, and was cultivated by the ancestors of the Yangtze River Basin in China 7,000 years ago. [0003] Rice is divided into indica rice and japonica rice, early rice and middle and late rice, glutinous rice and non-glutinous rice according to rice type. According to the way of saving seeds, it can be divided into conventional rice and hybrid rice. There are other classifications, which are divided into paddy field rice and floating rice according to whether it is cultivated without soil; divided into seasonal rice and "lazy rice" (renewed rice) according to the life cycle; divided into ordinary rice and giant rice of about 2 meters according to heigh...

AI Technical Summary

Problems solved by technology

[0008] Aiming at the above-mentioned shortcomings in the prior art, the present invention provides an analysis method for the big data of the agricultural Internet of Things, which can effectively overcome the problem in the prior art that staff members judge the growth trend of rice by visual observation, which is prone to misjudgment. phenomenon, which is not conducive to the stable growth and yield increase of rice

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