A three-dimensional measurement method for all-weather pollutants in smart agriculture by UAV

Abstract

The invention discloses an intelligent agriculture full-weather pollutant unmanned aerial vehicle three-dimensional measurement method, and belongs to the technical field of the pollution monitoring.The method comprises the following steps: performing real-time discrete point sampling changed with height on main pollutant concentrations contained in the water source, the soil, the atmosphere andthe night illumination four natural elements in the region by utilizing an autonomous lifting method of uniformly distributed unmanned aerial vehicles in a target crop planting region, thereby guaranteeing the timeliness and accuracy of the measurement process to a certain degree, avoiding the randomness and contingency of different subregion pollutant concentrations changed with the height or territory, and facilitating the intelligent control of the agriculture planting. The method disclosed by the invention can optimize the effective resource configuration about he pollutant concentration control and decision-making in the crop planting region, the guarantee is provided for the health growth of the crop under the multi-pollution source safety concentration environment, and the method can boost the steady development of the intelligent agriculture.

Description

technical field [0001] The invention belongs to the technical field of pollution monitoring, and relates to the mixed measurement of various types of pollutants for crops, in particular to a three-dimensional measurement method for all-weather pollutants in smart agriculture with an unmanned aerial vehicle. Background technique [0002] As the latest development direction of agricultural production, smart agriculture integrates emerging cloud computing, Internet of Things, big data and other technologies based on the agricultural production environment, and realizes intelligent perception, intelligent early warning, intelligent decision-making, and intelligent analysis of the agricultural production process. Agricultural production provides guidance. [0003] At present, smart agriculture has achieved important breakthroughs in the field of automatic monitoring of various environmental factors such as soil moisture, ambient temperature and humidity, and light intensity. Base...

AI Technical Summary

Problems solved by technology

However, considering that pollutants produced by various natural factors such as soil, water, atmospheric environment, and light pollution will have a significant impact on crop growth, but the mixed measurement of multiple pollution sources has not been realized at present, and there is a large risk in a single fixed measurement method. Redundancy and Differentiation

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