Near-infrared crop growth information real-time monitoring and crop disaster prediction wireless system

Abstract

A crop growth information real-time monitoring node of a near-infrared crop growth information real-time monitoring and crop disaster prediction wireless system comprises a crop growth nutrition and eco-physiological information monitoring node, a crop growth form and disease, insect and grass information monitoring node and a multi-parameter crop growth soil and microclimate monitoring node. The crop growth information real-time monitoring node, a GPRS, the Internet, a data processing center, a GIS and a GPS are combined to constitute the system, and the system is used for determining the positions of abnormal information monitoring nodes and connected with a mobile phone through a GSM. Node real-time monitoring data are analyzed by applying improved near-infrared stoichiometric software and processed through a precision agriculture expert system, and meanwhile a grey system prediction model is used for predicating disasters of crops. The near-infrared crop growth information real-time monitoring and crop disaster prediction wireless system is simple in structure, convenient to operate and good in real-time performance, integrates the advantages of the near-infrared spectroscopic analysis technology and the advantages of the wireless sensor network technology, and provides basically technical support for a precision agriculture platform in an Internet-of-Things environment.

Description

technical field [0001] The present invention fully utilizes the advantages of the near-infrared spectrum analysis technology and the theoretical characteristics of the gray system, and designs a node hardware device and a data processing platform for real-time monitoring of crop growth information in a wireless sensor network environment. It is a platform for realizing precision agriculture. important support part. Background technique [0002] The current monitoring of crop growth information (such as nutrition and physiological ecology, morphology and insect pests, growing soil and microclimate) is to use portable or hand-held instruments to the crop growth site for on-the-spot testing. The disadvantage of this type of detection is the lack of real-time performance, which is of little significance for guiding fine agricultural production, and the indicators of detection instruments are few, and inspection personnel must go to the scene, especially when large-scale crop det...

AI Technical Summary

Problems solved by technology

The disadvantage of this type of detection is the lack of real-time performance, which is of little significance for guiding fine agricultural production, and the indicators of detection instruments are few, and inspection personnel must go to the scene, especially when large-scale crop detection is carried out, it consumes a lot of manpower and material resources. Time-consuming and costly to test

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