Crop yield estimation system adopting unmanned aerial vehicle remote sensing technology

Abstract

The invention discloses a crop yield estimation system adopting an unmanned aerial vehicle remote sensing technology, which comprises an unmanned aerial vehicle with a data acquisition module and a control center, and further comprises an unmanned aerial vehicle take-off and landing platform with an acquisition equipment replacement module, the acquisition equipment replacement module comprises a replacement cavity located in the unmanned aerial vehicle take-off and landing platform, an equipment container, a translation mechanism and a lifting mechanism are arranged in the replacement cavity, and a pan-tilt fixing mechanism is arranged in a vehicle body of the unmanned aerial vehicle; and the data acquisition module is jacked by the lifting mechanism, then is fixedly connected by the holder fixing mechanism and is locked by a locking structure. According to the invention, automatic replacement of the data acquisition module is realized, the time consumed by replacement of acquisition equipment during field acquisition is reduced, and meanwhile, it is ensured that when the data acquisition module is detached, the data acquisition module completely falls into an equipment container, and when the data acquisition module is mounted, the connecting part of the data acquisition module extends into a connecting structure of the unmanned aerial vehicle.

Description

technical field [0001] The invention belongs to the field of aerial remote sensing, and relates to a crop yield estimation system using unmanned aerial vehicle remote sensing technology. Background technique [0002] At present, in the technology of crop yield estimation using aerial remote sensing technology, the use of more and more mature UAV-mounted remote sensing equipment to collect remote sensing images can greatly reduce the cost of data collection, so it is now widely used. However, due to the limited image features that can be extracted from a single type of remote sensing image data, the reliability and accuracy are insufficient in the process of inversion training and analysis. Multi-source data analysis method for inversion model training and actual inversion processing to obtain more accurate monitoring results [0003] However, the load capacity of the UAV platform itself is limited by the size of the UAV, and the battery life of the UAV is also affected by t...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a crop yield estimation system using UAV remote sensing technology to solve the technical problem that the UAV cannot automatically replace the remote sensing image acquisition equipment in the prior art. It is a technical solution that allows the connecting part to extend into the body for connection when it is loaded, and can ensure that the collection device is completely separated from the body and completely falls into the container when it is unloaded, so as to realize the overall protection of the collection device.

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