Crop growth whole-course digital evaluation method based on unmanned aerial vehicle vision

A technology for drones and crops, applied in image data processing, computer parts, character and pattern recognition, etc., can solve problems such as large positioning errors, poor parameter extraction accuracy of crops, and inability to reconstruct and restore texture information.

Pending Publication Date: 2021-02-26
CHENGDU ASIONSYS IND CO LTD
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AI Technical Summary

Problems solved by technology

[0008] 1. The method of only using spectral information for processing cannot achieve high-resolution restoration of plants, leaves, and fruits, and cannot reconstruct and restore richer texture information, making the parameter extraction accuracy of the entire crop poor.
[0009] 2. Use the single-view image taken by the drone to perform direct spectral processing, calculat

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  • Crop growth whole-course digital evaluation method based on unmanned aerial vehicle vision
  • Crop growth whole-course digital evaluation method based on unmanned aerial vehicle vision
  • Crop growth whole-course digital evaluation method based on unmanned aerial vehicle vision

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Embodiment Construction

[0076] In the present invention, a bluetooth positioning benchmark is first arranged in the UAV work area for precise positioning and path planning of the UAV; for the gridded work area, the UAV shoots five-view images of each grid, and then performs Crop plant segmentation and five-view 3D reconstruction, as well as plant leaf and fruit segmentation and five-view two-dimensional reconstruction; further use the principle of projective geometry to correct the reconstructed target image and eliminate errors caused by different viewing angles. Use the corrected reconstructed image to calculate the parameters of crop plants, leaves, and fruits to describe the real growth form of crops; use the calculated parameters to further in each growth stage of crop emergence, growth, and maturity. An accurate digital evaluation method for crop growth and pest damage is proposed; at the same time, through the calculation of field environmental parameters, a comprehensive evaluation of the dryn...

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Abstract

The invention discloses a crop growth whole-course digital evaluation method based on unmanned aerial vehicle vision, and the method comprises the steps: firstly carrying out the rasterization of an unmanned aerial vehicle operation region, and arranging a Bluetooth positioning benchmark; aiming at a rasterized working area, shooting a five-view image of each grid by the unmanned aerial vehicle, and carrying out crop plant segmentation, five-view three-dimensional reconstruction, plant leaf surface and fruit segmentation and five-view two-dimensional reconstruction; correcting the reconstructed target image; calculating parameters of crop plants, leaf surfaces and fruits by utilizing the corrected reconstructed image; digitally evaluating the growth condition and pest and disease damage condition of the crops in each growth stage of the crops by utilizing the parameters obtained by calculation; meanwhile, through calculation of field environment parameters, the dry condition and the waterlogging condition of the crop growth environment are comprehensively evaluated. Whole-course digital evaluation is provided for the crop growth process, and the method has a guiding effect on agricultural production.

Description

technical field [0001] The invention relates to a method for digitally evaluating the whole process of crop growth based on drone vision, and belongs to the technical field of crop intelligent monitoring. Background technique [0002] In recent years, the vigorous development of agricultural Internet of Things, wireless network transmission and other technologies has greatly promoted the massive explosion of agricultural product monitoring data, and agriculture has stepped into the era of big data. Modern agriculture obtains, collects, and analyzes data through technical means to effectively solve problems such as agricultural production and market circulation. Internet technology drives the transformation of agricultural production to intelligence, which is of great significance to the transformation and upgrading of my country's modern agriculture. [0003] At the same time, drones, this "cool" cutting-edge technology, are joining hands with agriculture, and the number of...

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06K9/46G06K9/62G06T7/55G06T7/62G06T7/80
CPCG06T7/55G06T7/85G06T7/62G06T2207/10012G06T2207/30188G06V20/188G06V10/267G06V10/462G06F18/23213G06F18/24
Inventor 易强王政于洪志
Owner CHENGDU ASIONSYS IND CO LTD
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