Built-in plant information micro-nano monitoring device

Abstract

The invention relates to a built-in plant information micro-nano monitoring device, which solves the problems of destructiveness, device complexity and incapability of long-term monitoring in the prior art, and is characterized by comprising a device main body, a microcontroller, a power supply module, a communication module, a detection module and a protection layer; the power supply module converts temperature difference, friction and vibration in the environment into electric potential energy and stores the electric potential energy in the super capacitor, and the super capacitor supplies power to the microcontroller and the communication module. The detection module comprises a molecular imprinting modified nanoprobe, the molecular imprinting modified nanoprobe converts detected information into an electric signal and sends the electric signal to the microcontroller, the microcontroller processes and calculates the received signal to obtain a detection value, the detection value is continuously sent to the PC terminal through the communication module, and real-time monitoring of plant information is achieved; the microcontroller, the power supply module, the communication module and the detection module are packaged in the device main body, and the outer surface of the device main body is coated with a protective layer.

Description

technical field [0001] The invention belongs to the technical field of sensors and plants, and in particular relates to a built-in plant information micro-nano monitoring device. Background technique [0002] The detection of plant information traditionally uses chemical methods for harvested and processed plant tissues. Although this method has high precision, it is destructive to the measured object and requires preprocessing and the cooperation of instruments; or using images, optics, etc. Although these methods have almost no negative impact on the measured object, they are greatly affected by the environment, the device is complex and expensive, and it is necessary to process data and improve accuracy through algorithms in the later stage. In addition, plant information is usually detected at a certain stage, such as the quality of mature fruits, lesions of leaves in the growth stage, etc., or periodically detected, which cannot achieve long-term real-time information m...

AI Technical Summary

Problems solved by technology

[0002] The detection of plant information traditionally uses chemical methods for harvested and processed plant tissues. Although this method has high precision, it is destructive to the measured object and requires preprocessing and the cooperation of instruments; or using images, optics, etc. Although these methods have almost no negative impact on the measured object, they are greatly affected by the environment, the device is complex and expensive, and it is necessary to process data and improve accuracy through algorithms in the later stage.

In addition, plant information is usually detected at a certain stage, such as the quality of mature fruits, lesions of leaves in the growing period, etc., or periodically detected, which cannot achieve long-term real-time information monitoring

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