System and method for monitoring agricultural intensive production

An agricultural and processing system technology, applied in the field of cloud computing, can solve the problems of difficult video data network bandwidth and high traffic costs, etc., and achieve the effects of good control efficiency and effect, fast control speed and strong practicability

Inactive Publication Date: 2014-08-27
INST OF S&T INFORMATION SHANDONG ACADEMY OFAGRI SCI
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Problems solved by technology

[0007] However, under the existing network conditions in our country, it is difficult to transmit a large amount of video data due to

Method used

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  • System and method for monitoring agricultural intensive production
  • System and method for monitoring agricultural intensive production

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Embodiment

[0102] Now take live pig breeding as an example. To monitor the production and breeding process of the live pig by video, we will first build a system for video monitoring of production:

[0103] 1) Install a high-definition camera device at the center of each pigpen, and collect the pig activities in the pen with a 90° overhead view. The pigs in the pen are marked with a distinctive pattern on the back to facilitate feature identification. The pigpen is constructed in a rectangular shape. The pigpen is divided into a standardized rectangular area within the pigpen and marked as excretion area, eating area, activity area and rest area. Preferably, there are 4-6 live pigs in the pen. Make a rectangular calibration line on the edge of the pigsty and within the monitoring range of the camera device to surround the entire pigsty. Used to determine whether the camera angle is 90°, and subsequent image calibration. Preferably, the calibration line adopts fluorescent coating material...

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Abstract

The invention provides a system and method for monitoring agricultural intensive production. The system comprises an information acquisition and processing system arranged in the production field, wherein the information acquisition and processing system is connected with a cloud computing center through a transmission network. The method includes the implementation steps that an ARM development board is used for controlling a control node or extracting video characteristic values of video information of a video acquisition device and transmitting the video characteristic values to the cloud computing center, and after video images are analyzed by the cloud computing center, the ARM development board is controlled to complete agricultural adjustment. Compared with the prior art, the system and method for monitoring agricultural intensive production have the advantages that the agricultural video images are analyzed through the computer vision technology, and the production can be automatically adjusted and controlled according to animal and plant growth models; through image processing based on the embedded development board, the characteristics of video acquired in the agricultural production field are extracted, and the problems of network congestion and large consumption caused by a large data size of large-scale video transmission are solved.

Description

Technical field [0001] The invention relates to the technical field of cloud computing, in particular to a system and method for large-scale agricultural production, improving agricultural automation level at a lower cost, improving large-scale agricultural production efficiency, and monitoring agricultural intensive production. Background technique [0002] Intensive production is an important direction of agricultural development. Intensive production refers to a production method that enhances efficiency through the improvement of the quality of production factors, the increase of factor content, the concentration of factor inputs and the adjustment of factor combination methods. In short, intensive operation is relatively extensive. Intensive operation is based on the benefit (social benefit and economic benefit) to reorganize the various elements of the business to achieve the smallest cost and maximize the return on investment. As the proportion of large-scale productio...

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Application Information

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IPC IPC(8): G05B19/418H04N7/18G06K9/54
Inventor 李乔宇李振波李道亮尚明华赵佳张泷
Owner INST OF S&T INFORMATION SHANDONG ACADEMY OFAGRI SCI
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