A Crop Yield Estimation System Using UAV Remote Sensing Technology

Abstract

The invention discloses a crop production estimation system adopting UAV remote sensing technology, which includes a UAV and a control center. The UAV is mounted with a data collection module, and also includes a UAV with a collection equipment replacement module. The take-off and landing platform, the acquisition equipment replacement module includes a replacement chamber located in the unmanned aerial vehicle take-off and landing platform, and the replacement chamber is provided with an equipment container, a translation mechanism and a lifting mechanism that can have a built-in data collection module. The body of the UAV is provided with a pan-tilt fixing mechanism, and the data acquisition module is fixedly connected by the pan-tilt fixing mechanism after being lifted by the lifting mechanism, and locked by a locking structure. The invention realizes the automatic replacement of the data acquisition module, reduces the time spent on replacing the acquisition equipment during on-site acquisition, and at the same time ensures that the data acquisition module completely falls into the equipment container when it is removed, and the connection part of the data acquisition module can be restored when it is mounted. Protrudes into the connecting structure of the drone.

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. Inversion model training and actual inversion processing are carried out by means of multi-source data analysis 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 ...

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.

Images