A remote sensing monitoring system for monitoring crop growth

Abstract

The invention discloses a remote sensing monitoring system for monitoring the growth of crops, which includes a drone and a data processing center. The drone is equipped with a data acquisition module, and the data processing center is equipped with a data storage module, a data preprocessing module and a data analysis. module, the unmanned aerial vehicle and the data processing center communicate through a wireless network, the data acquisition module includes remote sensing image acquisition equipment and a general cloud platform system, the lower part of the drone is provided with a cloud platform automatic connection mechanism, and the general cloud platform The platform system is provided with a connecting column that passes through the bottom hole of the drone and is inserted into the automatic connecting mechanism of the platform for connection. The automatic connecting mechanism of the platform and the connecting column are automatically connected and lock. Through the take-off and landing of the UAV, the connection and replacement between the universal pan-tilt system loaded with different remote sensing image acquisition equipment and the UAV can be automatically realized. The replacement efficiency is high, and the time-consuming and human errors caused by on-site manual replacement are avoided.

Description

Technical field [0001] The present invention belongs to the field of aviation remote sensing, involving a remote sensing monitoring system for monitoring crop growth. Background technique [0002] At present, aviation remote sensing technology is technically monitored by the growth of crops. Using the current increasingly mature drone loading remote sensing device to collect remote sensing images can greatly reduce the cost of collecting data, so it is now widely used. However, in terms of long potential monitoring, since the image characteristics of the single type of remote sensing image data is limited, the reliability and accuracy of the inversion training and analysis are not enough, and therefore, it is now increasingly in the analysis calculation. The multi-source data analysis method of multi-type remote sensing images is used for the training and actual inversion processing of the inversion model, and more accurate monitoring results have been obtained. [0003] However,...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a remote sensing monitoring system for monitoring the growth of crops, so as to solve the problem of replacing different types of remote sensing image acquisition devices in the prior art by manually replacing and connecting each interface, and the replacement process requires operators. It takes quite a long time and energy, thus causing technical problems that the efficiency and reliability of image acquisition are greatly reduced

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