Agricultural condition information real-time monitoring method and system based on remote monitoring

Abstract

The invention discloses an agricultural condition information real-time monitoring method and system based on remote monitoring, wherein the method comprises the following steps: front-end detection equipment collects the video information of a detected object comprising crops in one or multiple farmlands in real time under the control of an operation command of a rear-end operating platform and encapsulates the video information into an information packet to be returned to the rear-end operating platform through an information transmission network; the rear-end operating platform receives and de-encapsulates the information packet, analyzes the video information of the detected object, and obtains and stores crop parameters according to the analysis and computation for the basic color ofimage pixels in the video information; and the agricultural condition information is obtained and stored according to the crop parameters obtained by computation. Because the requirements on front-end hardware equipment are reduced, the invention enables the cost of the system to be greatly reduced, can be suitable for any weather condition and has good stability and safety.

Description

technical field [0001] The invention relates to a real-time monitoring technology of farmland information, in particular to a system and method for real-time monitoring of farm information based on remote monitoring. Background technique [0002] Agriculture is the foundation of China's national economy. Farmland information monitoring information is an important basis for organizing and guiding agricultural production, and is crucial for governments at all levels to guide production and formulate policies. Farmland growth environment and crop growth and development status, as important contents of farmland information monitoring, are also necessary prerequisites for crop yield assessment and forecasting, and can also provide data support and scientific basis for crop damage and agricultural disaster risk assessment. [0003] As far as the current farmland information monitoring methods are concerned, there are mainly methods such as manual fixed-point observation, automati...

AI Technical Summary

Problems solved by technology

[0014] (1) There is no effective integration of farmland environmental information (meteorological and soil information) and crop growth and development status information;

[0015](2) The collection function, exchange function and power supply function of meteorological, soil and video image elements are not effectively integrated

[0022] (1) The video image function that can monitor the growth and development of crops has not been introduced into the agricultural field;

[0023] (2) The effective integration of meteorological information, soil information and crop growth and development information has not been realized;

[0024] (3) Failure to provide automatic calculation of crop yield per mu based on the monitoring of video images of crop growth and development status and crop growth and development status information;

[0025] (4) It relies more on high-level hardware equipment, so the system cost is very high, and the error is large due to the large signal loss, and it cannot be applied to bad natural weather

[0026] Due to the limitations of the above existing technologies, whether it is agricultural experts, decision makers or agricultural producers, in the face of changes in the agricultural environment, crop growth, prevention and control of agricultural disasters, disaster loss and risk assessment, and formulation of disaster reduction countermeasures , it is difficult to make response decisions quickly and efficiently

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