Method and system for monitoring polyphenol content in plant of large-area tea garden by remote sensing

Abstract

The invention discloses a method and a system for monitoring polyphenol content in plants of a large-area tea garden by remote sensing. The method comprises the steps of: connecting a UAV with a hyperspectral sensor, acquiring a hyperspectral image from high altitude, and realizing fast storage of the image by utilizing a vehicle-mounted minicomputer; carrying out automatic preprocessing on the image, including radiation correction, image screening, image fusion, splicing and cutting; and extracting tea plants in the image, and reducing interference of background factors such as deadwood and soil maximally. According to the method and the system, the spectra are preprocessed before establishing a spectrum-tea polyphenol monitoring model, the noise and redundant information are eliminated, and the monitoring of the polyphenol content of the large-area tea garden is completed.

Description

technical field [0001] The invention belongs to the technical field of remote sensing, and in particular relates to a method and a system for monitoring the polyphenol content of plants in a large-area tea garden by hyperspectral remote sensing carried by an unmanned aerial vehicle. Background technique [0002] Tea polyphenols is the general term for polyphenols in tea. It is one of the main components that form the color and aroma of tea, and it is also one of the main components that have health care functions in tea. The substance invades the bone marrow. [0003] There are several common methods for monitoring polyphenols in tea garden plants, but these methods have their own advantages and disadvantages: (1) based on the dry powder scale; (2) based on the fresh leaf scale; (3) based on the canopy scale. Studies have shown that monitoring tea polyphenols based on dry powder scale is the easiest way to obtain ideal monitoring results. However, it is cumbersome to remov...

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Problems solved by technology

[0003] There are several common methods for monitoring polyphenols in tea garden plants, but these methods have their own advantages and disadvantages: (1) based on the dry powder scale; (2) based on the fresh leaf scale; (3) based on the canopy scale

[0005] However, the disadvantages of airborne / spaceborne hyperspectral sensors are low update frequency, low spatial resolution (spatial resolution>20m) and high price.

Tea trees are generally planted in single rows with a row spacing of 0.5-1.5 meters. If airborne / satellite sensors are used to collect hyperspectral images, since the spatial resolution is greater than the row spacing of tea leaves, a single pixel may contain both land and tea tree types. , commonly known as mixed pixels, the retrieval accuracy of tea polyphenols will be greatly reduced

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