Miniaturized unmanned aerial vehicle crop information obtaining and fertilization irrigation guiding apparatus

Abstract

The invention discloses a miniaturized unmanned aerial vehicle crop information obtaining and fertilization irrigation guiding apparatus and belongs to the technical field of crop monitoring, for solving the problems high cost and poor reliability existing in conventional crop monitoring. The apparatus comprises an information acquisition module, a ground sensor, a database, a ground station and an unmanned aerial vehicle, wherein the ground station carries out course planning and information acquisition point setting on a crop area to be detected; a flight controller of the unmanned aerial vehicle, according to a planned course, controlling flight of the unmanned aerial vehicle, and when the unmanned aerial vehicle arrives at information acquisition points, the information acquisition module acquires air indexes of the information acquisition points, and at the same time, performs hyperspectal shooting on crops at the information acquisition points so as to obtain growth information of the crops; the database stores data corresponding to the year with previous optimal output; the ground sensor is arranged at the crop area to be detected for measuring soil indexes; and the ground station, according to the air indexes acquired at the corresponding information acquisition points, the crop growth information and the soil indexes, makes a comparison with corresponding data in the database so as to obtain fertilization and irrigation instructions.

Description

technical field [0001] The invention belongs to the technical field of crop monitoring, and in particular relates to a micro-miniature UAV crop information acquisition and fertilization and irrigation monitoring device. Background technique [0002] Manual sampling, based on empirical data, to obtain crop growth conditions. In this way, it is necessary to manually hold some sampling terminals, such as measuring soil temperature and humidity, and crop growth conditions, and record them one by one, log the data in a unified way, and then make a correlation curve, compare it with the empirical data, and get the result. The defect of this method is self-evident, a large amount of manpower and material resources are wasted, and it is not real-time. Judging from experience (for example, looking at the growth of crops to obtain the nutritional status of crops), the error is very large. [0003] Lay the sampling network, use wired mode or wireless mode, and lay various sensors in t...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the problem of high cost and poor reliability in the existing large-scale UAV remote sensing

Images