Non-destructive detection device and method of internal information of crops based on spectrum technology

Abstract

The invention discloses a non-destructive detection device and method of internal information of crops based on the spectrum technology. The method comprises the following steps: a knowledge database is established and the knowledge database related to all crop samples is established for a crop needing to be measured; image data and spectrum data of a crop canopy are acquired into a computer; the acquired image data is preprocessed by the computer and an image feature same as a training sample is extracted; the computer carries out waveband feature extraction same as the training sample on the acquired spectrum data; the computer carries out fusion on the extracted image feature, the waveband feature and the knowledge database, detection test is carried out by utilizing a test sample, the nitrogen and water contents of the current tested crop sample are given, and a detection result is displayed by the computer. According to the invention, which growth period the crop is in and what the nitrogen content is can be judged automatically by the spectrum information, and more convenience in use is brought to a user.

Description

technical field [0001] The invention relates to a detection technology, in particular to a non-destructive detection device and method for internal information of crops based on spectral technology. Background technique [0002] Nitrogen fertilizer is an important element necessary to affect the growth and development of crops and the formation of yield and quality. The abundance and deficiency of nitrogen nutrition in crops will directly affect the growth and development of plants, as well as the quality and yield of crops. At present, excessive fertilization is common, causing underground soil pollution and degradation. Therefore, timely and accurate monitoring and diagnosis of crop nitrogen status, precise fertilization and irrigation are of great significance for improving crop water and fertilizer management and utilization efficiency. [0003] The traditional method of testing nitrogen in crops has low precision, may cause damage to crops and affect crop growth, and r...

AI Technical Summary

Problems solved by technology

[0007] To sum up, the previous non-destructive detection models of crop nitrogen were limited to a certain growth period, and the construction of a nitrogen content prediction model brought inconvenience to actual use, because the user had to judge which growth period the current crop was in. period

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