The detection model and application of the damage time of arborvitae by borer pests based on electronic nose

Abstract

The invention discloses a damage duration detection model of an oriental arborvitae suffering from decayed dry pests based on an electronic nose and an application thereof. A field oriental arborvitaeis taken as a detected object, the oriental arborvitaes with similar growth vigor are selected to be grouped, and the same number of pests is inoculated for each sample group. After different damageperiods, the sample groups are standing in a headspace device for a period of time. The electronic nose is used to detect and the oriental arborvitae which is not inoculated with pests as a contrast group. A maximum value, a 75 second stable value, an integral value and a differential value are used to carry out characteristic extraction and comparison on obtained data, an optimal characteristic set is selected and the characteristic set is divided into a training set and a test set. A forward neural network model, a support vector machine and a probabilistic neural network are used to train the selected training set and a model with better classification effect on the test set is selected to predict the damage duration of the decayed dry pests. Operation is simple and a good prediction effect is possessed.

Description

technical field [0001] The invention relates to a method for detecting the duration of infestation of arborvitae in the wild by borer pests, in particular to a detection model and application of the duration of infestation of arborvitae by borer pests based on an electronic nose. Background technique [0002] Arborvitae is widely planted in most areas of my country. It is an important tree species for afforestation and greening. It has strong ornamental, cultural and medicinal values. Arborvitae stem borer pests often harm the plants with poor growth or older trees. Since the stem borer pests spend most of their time inside the trunk, it is difficult to detect them by conventional methods, and the early symptoms after infection are not obvious, so it is easy to miss timely The timing of prevention and control will lead to the death of oriental cypress trees, resulting in the reduction of ornamental value, the death of ancient trees, and the failure of afforestation, resultin...

AI Technical Summary

Problems solved by technology

Arborvitae stem borer pests often harm plants with poor growth or older trees. Since the stem borer pests spend most of their time inside the trunk, it is difficult to detect them by conventional methods, and the early symptoms after infection are not obvious, so it is easy to miss timely The timing of prevention and control will lead to the death of oriental cypress trees, resulting in reduced ornamental value, death of ancient trees, failure of afforestation, etc., resulting in great economic and cultural losses

Images