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A computing method and device for situational perception of field agricultural production

A technology of situation awareness and calculation method, applied in the direction of calculation, instrument, data processing application, etc., can solve the problems that affect production management auxiliary decision-making, cannot provide data support and basis, etc.

Active Publication Date: 2017-06-30
北京市农林科学院信息技术研究中心
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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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  • A computing method and device for situational perception of field agricultural production
  • A computing method and device for situational perception of field agricultural production
  • A computing method and device for situational perception of field agricultural production

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Experimental program
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Embodiment 1

[0032] An embodiment of the present invention provides a method for computing situational awareness of field agricultural production, see figure 1 , the method includes:

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

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

[0035] Step S3. Carry out digital image processing according to the binocular image data collected, and calculate the canopy closure and growth information of the crops;

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

Embodiment 2

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

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

[0061] Step 202. Combine the collected crop growth environment data with the crop growth model to calculate the growth state of the main organs during the crop growth process, and the morphological parameters of each main organ, such as node length, leaf length, plant height, etc.; taking corn as an example, Typical maize growth models include the relationship model of expanded leaf length (MLDL) and phyllotaxy (N), the relationship model of expanded leaf leaf width (MLDW) and p...

Embodiment 3

[0068] An embodiment of the present invention provides a scene-aware computing device for field agricultural production, see image 3 , the device consists of:

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

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

[0071] Canopy density and growth information analysis module 303, used to calculate canopy density and growth information of crops;

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

[0073] The growth state module 305 is used to calculate the growth state of crop organs according to the growth environment data and the optimized crop growth model.

[0074] Optionally, the data acquisition module i...

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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-aware computing method and device. Background technique [0002] Agriculture is an important basic industry in China. Field production occupies a large proportion in my country's agricultural production. It is the main source of my country's grain and occupies an important strategic position in food security. [0003] In the process of field production 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 to comprehensively calculate and analyze based on environmental information and provide auxiliary decision-making for production management. If only physiological indicators are monitored, ...

Claims

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Application Information

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Patent Type & Authority Patents(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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