Method for marking and analyzing scanned image based on big data

Abstract

The invention discloses a method for marking and analyzing a scanned image based on big data, and belongs to the technical field of agricultural planting monitoring. The method comprises an image acquisition unit, an image transmission unit, a central processing unit, a cloud storage platform, an intelligent analysis marking platform, an intelligent terminal, a display unit, a power supply unit and a storage unit. an information receiving and processing unit, a data transmission unit and a data transmission gateway are arranged in the central processing device. According to the method for marking and analyzing the scanned image based on the big data, an unmanned aerial vehicle carries a three-dimensional laser scanner to collect crop images, image information is processed and then compared with various standard data in the cloud storage platform, and all growth stages of crops can be monitored, and response can be timely made according to the growth condition of the crops, the growth of the crops can be more stably and efficiently controlled, and the yield of the crops is improved.

Description

technical field [0001] The invention relates to the technical field of agricultural planting monitoring, in particular to a method for marking and analyzing scanned images based on big data. Background technique [0002] Agriculture is a basic issue of global sustainable development, and it is also a basic industry of a country. The means of agricultural management have not yet completely got rid of the traditional manual labor methods. There are unfavorable factors such as small scale of operation, low technical content, unreasonable input and output, etc., which seriously restrict the development of agriculture. If you want to build on the existing basis In order to achieve greater development of agriculture, we must rely on scientific and technological progress, we must increase the scientific and technological content of agriculture, and use high-tech to completely transform traditional agriculture. Today, with the rapid development of intelligence, precision agricultur...

AI Technical Summary

Problems solved by technology

However, the nodes of the equipment of this agricultural monitoring system are fixed. In order to meet the deployment and control conditions, a large number of monitoring nodes need to be arranged on the farmland. With the increase of the planting area, the deployment and control costs increase rapidly. Wiring layout is difficult, which further leads to increased labor costs. In addition, due to the limitation of node height and location, the information collection of existing control nodes is relatively concentrated, and it is impossible to conduct large-scale analysis of farmland, resulting in deviations in the monitoring of farmland data. For this reason, we propose a A method of labeling and analyzing scanned images based on big data to solve the above-mentioned problems

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