Remote monitoring-based device, system and method for measuring crop yield in real time

Abstract

The invention discloses a remote monitoring-based device, a remote monitoring-based system and a remote monitoring-based method for measuring crop yield in real time. In the device, a cradle head moves up and down to drive a video sensor, a range finder and a compass to move up and down; the direction of the video sensor is adjusted by rotating; the video sensor moves up and down until the video sensor is aligned with the top of a crop measuring object; the video sensor is rotated to be aligned with a measuring object in crops, and is then rotated to be aligned with another measuring object in the crops; the range finder measures the heights of the measuring objects as well as the horizontal distance between the range finder and the measuring objects; the compass measures the included angle of the horizontal distance between the range finder and two measuring objects; a control module controls the cradle head to move up and down or rotate according to a video image; and real-time measured parameters of the range finder and the compass are acquired and saved, and acquired parameters are packed for remote transmission. Manpower and material resources are reduced effectively, measuring accuracy is enhanced and effective sharing of farmland information is realized.

Description

technical field [0001] The invention relates to a real-time monitoring technology of farmland information, in particular to a real-time measurement system, method and device for farmland crop yield 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,...

AI Technical Summary

Problems solved by technology

[0014](1) Failing to effectively integrate 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 is not introduced into the agricultural field;

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

[0024](3) Failed 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] Due to the limitations of the above existing technologies, whether it is an agricultural expert, a policy maker or an agricultural producer, in the face of changes in the agricultural environment, crop growth, and agricultural disasters In prevention and control, disaster loss and risk assessment, and formulation of disaster reduction response measures, it is difficult to make response decisions quickly and efficiently

Images