Litchi leaf nitrogen, phosphorus and potassium content detection method based on unmanned aerial vehicle multispectral image

Abstract

The invention relates to the technical field of agricultural detection, and discloses a litchi leaf nitrogen, phosphorus and potassium content detection method based on an unmanned aerial vehicle multispectral image. The litchi leaf nitrogen, phosphorus and potassium content detection method based on the unmanned aerial vehicle multispectral image comprises the following steps: S1, longitudinal image acquisition; s2, acquiring a transverse image; s3, processing the spectral image; according to the method, the litchi plants are subjected to spectral image shooting through the multi-spectral sensor carried by the human beings, then the nitrogen, phosphorus and potassium contents are obtained in a spectral image inversion mode, manual multi-point and multi-time sampling is not needed in the mode, and the defect that time and labor are wasted in a traditional detection method of chemical analysis can be overcome; when spectrum images are collected through the unmanned aerial vehicle, data of images collected at the top and data of images collected on the side faces can be synthesized, parameter precision differences caused by canopy height differences are avoided, and therefore the precision of inversion of the nitrogen, phosphorus and potassium content is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of agricultural detection, in particular to a method for detecting nitrogen, phosphorus and potassium content of litchi leaves based on a multi-spectral image of an unmanned aerial vehicle. Background technique [0002] Litchi, also known as Litchi, is an evergreen tree belonging to Sapindaceae Litchi. It is known as the "Four Great Fruits of the South" together with banana, pineapple and longan. Lychee peel has scaly mottled protrusions, usually dark red to bright red when ripe, and the pulp is When fresh, it is translucent and creamy, with a fragrant and delicious taste, but it is not resistant to storage. It is distributed in the southwest, south and southeast of China, with the most prosperous cultivation in Guangdong and southern Fujian. [0003] Using a multi-spectral camera installed on the drone, the leaves of the lychee tree canopy were taken as the test objects, and the samples of lychee tree leave...

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Problems solved by technology

[0005] In view of the above situation, in order to overcome the defects of the prior art, the present invention provides a method for detecting nitrogen, phosphorus and potassium content of litchi leaves based on multispectral images of drones, which effectively solves the problem of increasing the mass fraction of nitrogen and potassium within a certain range. It can improve the yield and quality of litchi, but excessive application will affect the yield and quality of fruit trees and cause environmental and ecological problems. Therefore, it is necessary to detect the nitrogen, phosphorus and potassium content of the plants to determine the application amount. The existing nitrogen, phosphorus and potassium content detection The method generally requires manual sampling at multiple points and then chemical detection, which increases the amount of manual labor, and the existing chemical detection method takes a long time, resulting in low detection efficiency.

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