Farmland information real-time monitoring system and method based on remote monitoring

Abstract

The invention discloses a farmland information real-time monitoring system and method based on remote monitoring. The method comprises the following steps: an information collection front end integrates the multiplexed information containing the factors of weather, soil and farmland environment and video image information which are collected instantly, to one-way information and transmits the information to a server side through a wireless transmission device and a transmission network; the server side analyzes and restores the received one-way information to the multiplexed information and the video image information and stores and manages the obtained information; and the analyzed and restored real time information and/or the stored historical information are sent to a client side through the Internet according to the demand of the client side for display, observation and analysis. The system and method of the invention can realize the visual and real-time monitoring of crops, thus providing intuitive and credible reference information and data for agricultural experts, decision makers and managers.

Description

technical field [0001] The invention relates to a real-time monitoring technology of farmland information, in particular to a real-time monitoring system and method for farmland information based on remote monitoring technology. Background technique [0002] Agriculture is the foundation of China's national economy. Farmland 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 [1] . Farmland growth environment, soil moisture, crop seedlings, disasters, and growth are important contents of farmland monitoring, and are also necessary prerequisites for crop yield assessment and forecasting. They can also provide data support and scientific basis for crop damage and agricultural disaster risk assessment . [0003] As far as the current crop monitoring methods are concerned, there are mainly manual fixed-point observations, automatic meteorologica...

AI Technical Summary

Problems solved by technology

[0014] (1) There is no effective integration of meteorological, soil and farmland site environmental information (including video images);

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

[0016] (3) There is no proposal to provide corresponding data transmission methods for different farmland terrain conditions;

[0024] (1) The video image function that can monitor the growth and development of crops has not been introduced into the agricultural field;

[0025] (2) The effective integration of meteorological information, soil information and crop growth and development information has not been realized

[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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