Ground-air integrated agricultural monitoring system and method

Abstract

The invention provides a ground-air integrated agricultural monitoring system and a ground-air integrated agricultural monitoring method, wherein the system comprises an aerial agricultural monitoring device, at least one ground agricultural monitoring device and a terminal server. The aerial agricultural monitoring device is used for obtaining crop canopy data; the least one ground agricultural monitoring device is used for obtaining crop growing environment data and crop physiological and biochemical data; and the terminal server is used for fusing the crop canopy data, the crop growing environment data and the crop physiological and biochemical data of the same monitoring point obtained by the aerial agricultural monitoring device and the ground agricultural monitoring device, and performing crop growth model inversion; moreover, the aerial agricultural monitoring device and the ground agricultural monitoring device are respectively in wireless communication with the terminal server. According to the invention, physiological and biochemical parameters and growing environment of the crops are dynamically monitored in real time in both the ground and the air at the same time, and the monitoring data is fused, and thus, multi-parameter monitoring and large-area efficient monitoring on the crops are implemented.

Description

technical field [0001] The invention belongs to the technical field of agricultural monitoring, and relates to a ground-air integrated agricultural monitoring system and method. Background technique [0002] The premise of agricultural modernization is agricultural informatization. The dynamic and real-time digital collection, analysis and processing of crop holographic information (growth environment, growth physiological and biochemical information, canopy spectral information, element biochemical information contained in crops, etc.) is of great significance for improving the level of agricultural information management and guiding agricultural production. The crop canopy reflectance spectrum curve is rich in important physiological and biochemical parameter information of crops. According to this information, the physiological and biochemical parameters of crops can be inverted. The cost of obtaining crop remote sensing information by satellite or manned aircraft is too...

AI Technical Summary

Problems solved by technology

Obtaining crop remote sensing information by satellite or manned aircraft is too costly and has low utilization

The monitoring range of ground sensors is limited. In large-area monitoring of crop growth, relying solely on ground sensors to obtain crop growth information has certain limitations in terms of monitoring indicators and monitoring efficiency, which is not conducive to large-scale and high-efficiency monitoring.

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