Corn leaf water content detection method and device based on multi-spectral image

Abstract

The embodiment of the invention provides a corn leaf water content detection method and device based on a multi-spectral image and belongs to the multispectral technology application field. The methodcomprises the following steps of acquiring the multi-spectral image of a corn leaf sample and constructing an area of interest of the corn leaf sample; determining spectral reflectivity of the cornleaf sample at different preset wave bands according to calibration reflectivity of a standard whiteboard, a first average reflection spectrum of the standard whiteboard in the area of interest, and asecond average reflection spectrum of the corn leaf sample in the area of interest when the corn leaf sample uses the standard whiteboard as a reference; and inputting the multi-spectral image of thecorn leaf sample and the spectral reflectivity of the corn leaf sample at the different preset wave bands to a water content inversion model, and outputting the water content of the corn leaf sample.Since a leaf water content is not measured by a machine on the spot, a measurement process is relatively efficient, leaf tissues are not damaged, and applicability is wide.

Description

technical field [0001] The embodiments of the present invention relate to the application field of multispectral technology, and in particular to a method and device for detecting moisture content of corn leaves based on multispectral images. Background technique [0002] Water is one of the indispensable elements for the normal growth and development of maize. The ability to quickly detect and obtain the water content of maize leaves is of great significance to the management of field maize irrigation and the study of the physiological water demand characteristics of maize. Moisture content is an important indicator of the growth status of corn. Timely and accurate detection and diagnosis of corn water content is of great significance for improving agricultural irrigation efficiency and guiding agricultural production. Compared with soil water content, leaf water content can more directly reflect the actual situation of maize growth and development, and is the best indicato...

AI Technical Summary

Problems solved by technology

In related technologies, it is usually to directly use instruments to measure leaf moisture on the spot. This measurement process is time-consuming and laborious, and will cause damage to leaf tissue. It is only suitable for confirmatory measurement in some areas and has certain limitations.

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