Intelligent pasture management system and method by using unmanned aerial vehicle

Abstract

The invention, which belongs to the unmanned aerial vehicle application field, discloses an intelligent pasture management system and method by using an unmanned aerial vehicle. The system comprises an unmanned aerial vehicle and a ground control console. The unmanned aerial vehicle includes a flight control board, an infrared imaging monitoring device, a storage device, and a radio frequency identification device. The flight control board receives a remote control instruction sent by the ground control console to control flight of the unmanned aerial vehicle according to a preset route; the infrared imaging monitoring device is used for detecting a lift object; the storage device is used for recording the life object as a suspected object; and the radio frequency identification device is capable of carrying out communication with an electronic tag arranged on the suspected object in a preset flight height range and reading identity information in the electronic tag. The fight control board determines whether the suspected object is a target object according existence of the electronic tag and / or the identity information. According to the invention, on the basis of the long-distance infrared induction imaging or real-time image transmission principle and a short-distance radio-frequency object identification principle, a high-efficiency and intelligent solution scheme for finding missing livestock is provided.

Description

technical field [0001] The invention relates to the technical field of unmanned aerial vehicles, in particular to an intelligent pasture management system and method using unmanned aerial vehicles. Background technique [0002] The characteristics of existing grazing management work are that in order to reduce grazing costs, improve grazing efficiency, and gradually realize large-scale farms, the number of grazing objects is increasing, and the management is becoming more and more intelligent. However, livestock such as cattle, sheep, and horses need to have a certain degree of freedom in grazing, allowing them to move freely on the grassland. The traditional way is to follow the caregiver through an experienced caregiver, and if conditions permit, shepherd dogs and other methods will be used to assist. In the prior art, it has been proposed to apply unmanned aerial vehicle technology to realize intelligent grazing. [0003] For example: the Chinese invention patent applic...

AI Technical Summary

Problems solved by technology

[0006] However, in this way, if a large shooting area is required, the unmanned aerial vehicle must be allowed to fly high. In the displayed content obtained, the image of the target on the ground is very small, and it is difficult for the user to accurately screen out the suspected object; if the ground target is required to be If the shooting is clearer, the unmanned aerial vehicle must fly close to the ground. At this time, the shooting range is relatively small, and the recovery efficiency is reduced.

In addition, the operation of the current fixed-wing unmanned aerial vehicle is troublesome, and it cannot hover for observation, and the endurance problem of the multi-rotor unmanned aerial vehicle needs to be further solved. Therefore, there is no good solution in the prior art to help with the recovery of lost livestock

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