Farmland intelligent irrigation decision-making system based on unmanned aerial vehicle remote sensing data inversion

Abstract

The invention provides a farmland intelligent irrigation decision-making system based on unmanned aerial vehicle remote sensing data inversion. The system comprises: an unmanned aerial vehicle platform; the field meteorological station that is used for collecting meteorological data; an upper computer; a field irrigation execution device, wherein the unmanned aerial vehicle platform transmits an acquired image to the intelligent image processing system module; the intelligent image processing system module uploads the extracted target canopy temperature data to the automatic decision-making system module; the meteorological station data acquisition module uploads data acquired by a field meteorological station to the automatic decision-making system module; the automatic decision-making system module automatically estimates a crop water stress index according to the received data in combination with the plant height and a spray irrigation pipeline, diagnoses the crop water deficit condition, and further obtains the irrigation amount and the irrigation duration; and the field irrigation execution device is controlled through the irrigation remote control module. According to the invention, the problem that the application territorial limitation exists because the irrigation duration is not directly inverted in the current irrigation system is solved.

Description

technical field [0001] The invention relates to the field of agricultural irrigation, in particular to an intelligent irrigation decision-making system for farmland based on the inversion of remote sensing data of drones. Background technique [0002] my country's fresh water resources are relatively scarce, and agricultural irrigation water accounts for more than half of the total water consumption. However, at this stage, the irrigation quotas for crops in my country still mainly rely on experience, and the quotas on demand have not been fully realized. This has not only caused excessive waste of water resources, but also affected crop growth. Therefore, it is imminent to vigorously develop crop precision irrigation. [0003] The heat and water vapor fluxes in the soil-plant-atmosphere continuum determine the temperature of the crop canopy. When the water supply cannot meet the water requirement for plant transpiration, the transpiration rate decreases and the temperature ...

AI Technical Summary

Problems solved by technology

[0006] Aiming at the deficiencies in the existing technology, the present invention provides a farmland intelligent irrigation decision-making system based on the inversion of UAV remote sensing data, which solves the problems that the current irrigation system does not directly invert the irrigation duration and has application area restrictions

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