Crop disease monitoring method and system based on UAV multi-source image fusion

A crop disease and unmanned aerial vehicle technology, applied in image enhancement, image analysis, image data processing, etc., can solve unrepresentative, time-consuming and labor-intensive problems, increase details, improve spatial resolution, and reduce spectral information loss Effect

Inactive Publication Date: 2018-07-31
ZHEJIANG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

At present, the monitoring of crop diseases can only determine the type and degree of disease infection by manual visual inspection and field sa

Method used

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  • Crop disease monitoring method and system based on UAV multi-source image fusion
  • Crop disease monitoring method and system based on UAV multi-source image fusion
  • Crop disease monitoring method and system based on UAV multi-source image fusion

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Embodiment

[0053] see figure 1 , the crop disease monitoring system based on multi-source image fusion of drones includes a drone 1 equipped with an image acquisition device and a processor for image processing and detection of disease distribution. The UAV 1 flies according to the set shooting route, and uses the image acquisition device to take hyperspectral images, RGB images and thermal infrared images of farmland crops.

[0054] The processor includes an image processing unit, a modeling unit and a wireless remote control unit.

[0055] The image processing unit stitches the taken hyperspectral image, RGB image and thermal infrared image respectively, and fuses the hyperspectral mosaic image and the RGB mosaic image, and fuses the thermal infrared mosaic image and the RGB mosaic image.

[0056] The modeling unit uses a compound multi-level neural network to establish a crop disease prediction model based on the difference in spectrum and temperature between normal samples and disease...

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Abstract

The invention discloses a crop disease monitoring method and system based on UAV multi-source image fusion and belongs to the technical field of agricultural information monitoring. The system comprises a UAV equipped with an image capture device and a processor used for processing images and detecting disease distribution. The UAV flies according to a determined capture route and captures the hyperspectral image, the RGB image and the thermal infrared image of farm crops. The processor comprises an image processing unit, a modeling unit and a wireless remote control unit. The captured hyperspectral image, RGB image and thermal infrared image are separately spliced, a hyperspectral spliced image and the RGB spliced image are merged, and a thermal infrared spliced image and the RGB splicedimage are merged. Thus, the advantages of respective images can be integrated, the complementarity of different types of remote sensing images can be achieved, image data sets conducive to human interpretation and post-processing are available, and a possibility can be provided for accurate crop disease monitoring.

Description

technical field [0001] The invention relates to the technical field of agricultural information monitoring, in particular to a crop disease monitoring method and system based on multi-source image fusion of drones. Background technique [0002] Crop diseases are one of the main agricultural disasters in my country. They have the characteristics of various types, large impacts, and easy outbreaks, which seriously affect the yield of crops and even cause crop failure. Take rapeseed sclerotinia as an example, it is a worldwide disease, and the incidence is most serious in the Yangtze River Basin in my country. According to statistics, Sclerotinia sclerotiorum occurs in all rape producing areas in my country, the incidence rate is generally 10% to 80%, and the annual yield loss can reach up to 30%. [0003] Growing in the natural environment of farmland, crops are easily affected by the environment, soil and varieties, and the period and degree of disease infestation of crops a...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T5/50G06T3/40
CPCG06T3/4038G06T5/50G06T7/0002G06T2207/10036G06T2207/10048G06T2207/20084G06T2207/20221G06T2207/30188
Inventor 刘飞曹峰孔汶汶郭晗张初冯雷何勇岑海燕
Owner ZHEJIANG UNIV
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