Field agricultural production scene perceptual computing method and device

A computing device and situation-aware technology, applied in computing, instruments, data processing applications, etc., can solve problems that affect auxiliary decision-making in production management and cannot provide data support and basis

Active Publication Date: 2014-07-09
北京市农林科学院信息技术研究中心
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AI Technical Summary

Problems solved by technology

If only physiological indicators are monitored, real-time, accurate and comprehensive data support and basis cannot be provided, which will affect the auxiliary decision-making of production management in field agricultural production

Method used

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  • Field agricultural production scene perceptual computing method and device
  • Field agricultural production scene perceptual computing method and device
  • Field agricultural production scene perceptual computing method and device

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Embodiment 1

[0032] The embodiment of the present invention provides a situation-aware calculation method for field agricultural production, see figure 1 , the method includes:

[0033] Step S1. Collect binocular image data and growth environment data of crops. The binocular stereo vision system is used to shoot binocular images of crops, and the image data of crops are collected; at the same time, the meteorological moisture monitoring system is used to monitor the growth environment data of crops, including indicators such as light, temperature, moisture, and soil parameters;

[0034] Step S2. According to the collected binocular image data, carry out point cloud data processing, and calculate the plant height and plant row spacing of the crop;

[0035] Step S3. According to the collected binocular image data, digital image processing is performed to calculate the canopy closure and growth information of the crop;

[0036] Step S4. The calculated plant height, plant-row spacing, canopy...

Embodiment 2

[0059] The embodiment of the present invention provides another method for calculating the situation of field agricultural production, see figure 2 , the method includes:

[0060] Step 201. Collect binocular image data and growth environment data of the crop. The binocular stereo vision system is used to shoot binocular images of crops, and the image data of crops are collected. Use the monitoring data of field production environment, including parameters such as light, temperature, moisture, soil, etc.;

[0061] Step 202. The collected crop growth environment data is combined with the crop growth model to calculate the growth state of the main organs in the crop growth process, and the morphological and structural parameters of each main organ, such as node length, leaf length, and plant height; taking corn as an example, Typical maize growth models include the relationship model between the length of the expanded leaf (MLDL) and the phyllotaxis (N), the relationship model...

Embodiment 3

[0068] Embodiments of the present invention provide a context-aware computing device for field agricultural production, see figure 2 , the device includes:

[0069] The data collection module 301 is used to collect binocular image data and growth environment data of crops.

[0070] The plant height and plant row spacing analysis module 302 is used to calculate the plant height and plant row spacing of the crop.

[0071] The canopy closure and growth information analysis module 303 is used to calculate the canopy closure and growth information of the crop;

[0072] The growth model optimization module 304 is used to calculate the obtained plant height, plant-row spacing, canopy canopy closure and growth as the morphological and structural indicators of the crop, and to optimize the crop growth model in real time;

[0073] The growth state module 305 is configured to calculate the growth state of the crop organs according to the growth environment data and in combination with...

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Abstract

The invention provides a field agricultural production scene perceptual computing method and device. The method comprises the steps that binocular image data and growth environment data of crops are collected; point cloud data processing is carried out according to the collected binocular image data, and the plant height, the plant spacing and the row spacing of the crops are computed; digital image processing is carried out according to the collected binocular image data, and the canopy density and growth vigor information of the crops are computed; the plant height, the plant spacing, the row spacing, the canopy density and the growth vigor obtained by computation serve as the form structure indexes of the crops, and a crop growth model is optimized in real time; according to the growth environment data, the optimized crop growth model is combined, and the growth state of the organs of the crops is computed. The method reasonably integrates the computer graphic image, vision and automation technology, the form structure indexes of the crops are detected and serve as auxiliary analysis parameters, the yield of field agricultural production is forecasted, the completeness degree of production and management auxiliary decision is increased, and therefore the management efficiency of field agricultural production is improved.

Description

technical field [0001] The invention relates to the field of field agricultural production, in particular to a situation perception computing method and device. Background technique [0002] Agriculture is an important basic industry in my country, and field production occupies a large proportion in my country's agricultural production, is the main source of food in my country, and occupies an important strategic position in food security. [0003] In the field production process in my country, the existing technical means are mainly reflected in the monitoring of environmental parameters such as temperature, humidity, and light, as well as physiological indicators such as crop nitrogen content and nitrogen accumulation. [0004] It is the current development trend of agricultural informatization that comprehensive calculation and analysis based on environmental information can be carried out to provide auxiliary decision-making for production management. If only the physio...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/02
Inventor 郭新宇肖伯祥王传宇吴升温维亮陆声链
Owner 北京市农林科学院信息技术研究中心
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