A prediction and analysis method of tobacco yield based on multispectral technology

Abstract

A tobacco yield prediction and analysis method based on multispectral technology comprises an acquisition device and an analysis system. The acquisition device comprises an unmanned aerial vehicle body, a multispectral camera, a GPS and an inertial measurement unit are arranged on the unmanned aerial vehicle body, an SD card is arranged in a card slot of the multispectral camera, and multispectralphotographs are obtained by aerial photography. The multi-spectral photographs were imported into the multi-spectral photographs analysis system, tobacco quality analysis and yield prediction system,so as to accurately predict the yield of tobacco leaves; The invention utilizes the relation model to predict the growth trend of the current tobacco leaf, and finally realizes the effective prediction of the yield of the tobacco leaf. According to the analysis model and related parameters, the system can automatically get the health status of tobacco growth, Predict the physiological changes ofcrops, and make a preliminary assessment of their growth to get the assessment report, and then import the assessment data into the tobacco yield analysis management system for further analysis and processing, so as to accurately predict the yield of tobacco leaves.

Description

technical field [0001] The invention belongs to the field of tobacco planting, and in particular relates to a method for predicting and analyzing tobacco leaf yield based on multispectral technology. Background technique [0002] In recent years, the purchase price of tobacco leaves has risen sharply, the number of planted tobacco leaves has increased rapidly, and the living standards of smokers have improved qualitatively, but the quality of tobacco leaves has risen slowly, and the output of tobacco leaves is difficult to predict, resulting in a waste of social resources. In order to improve the quality of tobacco leaves and accurately predict the yield of tobacco leaves, we need to prevent and control pests and diseases, analyze the factors affecting the growth of tobacco leaves and estimate the yield of tobacco leaves, and then take appropriate irrigation, fertilization, pesticide application and adjustment according to the analysis results Tobacco planting area and other...

AI Technical Summary

Problems solved by technology

[0005] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a device and system for collecting multi-spectral images by drones to analyze the growth of tobacco leaves. , high labor intensity, low efficiency, and low precision; the second is that based on the health status report obtained by the multispectral analysis software combined with relevant empirical data and yield prediction models, the tobacco leaf yield analysis management system will obtain tobacco leaf yield data and predict the Tobacco leaf production in the planting area, and finally realize the precise management of tobacco leaf planting; third, according to the difference analysis of data, if the yield difference is found, the production warning and improvement can be carried out through professional and standardized safeguard measures, and modern tobacco leaf planting technology can be realized and precision management

Images