Unmanned aerial vehicle remote sensing image collection system and method based on Android device

Abstract

The invention discloses an unmanned aerial vehicle remote sensing image collection system based on an Android device, which is characterized by comprising an unmanned aerial vehicle terminal, a ground terminal device and a wireless communication device placed in a field, wherein the Android device, an external image collection device, a GPS device and an integrated sensor are mounted on the unmanned aerial vehicle terminal, when at work, the external image collection device, the GPS device and the integrated sensor respectively transmit collected information to the ground terminal device through the wireless communication device, and a control instruction of the ground terminal device is transmitted by the wireless communication device to the Android device. According to the image collection system and method disclosed by the invention, the requirements on the professional skills of an operator are relatively low, the Android device is low in cost and is easy to replace, so that the development and use costs of the entire system are reduced.

Description

technical field [0001] The present invention relates to the field of image acquisition, in particular to a remote sensing image acquisition system and method for drones based on Android devices. Background technique [0002] Farming situation analysis of farmland crops is one of the important tasks of plant protection. It can quickly and accurately predict the status of crops infected by diseases and insect pests, water and fertilizer stress, crop lodging, growth and yield. Especially for explosive pests and diseases, computer technology can accurately identify changes that are difficult for human eyes to distinguish, such as subtle changes in the color and texture of specific parts of crops. The traditional agricultural situation analysis is to select and delineate multiple sampling blocks in the field, and use manual entry into the field to screen diseases and so on, so as to determine the corresponding damage level and degree. This method has the problems of low accuracy...

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