Detection Of Plants And Their Growth Environment Based On LIBS Technolog

Soil is the environment on which most plants depend.As a place where plants take root,soil pollution has an important effect on plant growth.In recent years,with the rapid development of economy,industry and agriculture have also developed rapidly,resulting in serious heavy metal pollution of soil.Soil heavy metal pollution will cause heavy metal accumulation in the roots,stems and leaves of plants,which will cause poison to plants and lead to the decline of plant output,resulting in huge losses.Laser-induced breakdown spectroscopy(LIBS)is a technique for element analysis based on atomic emission spectroscopy(AES).It has the advantages of in-situ,on-line,fast detection,low loss,simultaneous measurement of multiple elements,etc.,and has been widely used in many fields.Therefore,a set of highly sensitive LIBS detection system is established in this paper.And LIBS technology is proposed to be applied to the detection of plants and their growing environment-soil.The following are the primary research findings:(1)Study on the classification of Rosaceae based on LIBS.This part takes rose as an example to carry out plant detection based on LIBS technology.The LIBS technique was applied to the detection of three morphologically similar plants of the genus Rosa.The spectral data were analyzed and combined with general regression neural network(GRNN)to classify the different Rosaceae with an accuracy of 93.3%.The experimental results explored the feasibility of LIBS technique for detecting the information of plant element.(2)Soil element detection based on LIBS.The soil samples selected in this part are from farmland in three areas.Based on LIBS technology,spectral analysis,detection of heavy metal elements and identification and classification of soil are carried out.Due to the complexity of soil matrix and spectral line information,direct contrast difference is not obvious.For this purpose,principal component analysis(PCA)was used to reduce the dimensionality of the spectral data.After extracting the new principal components,back propagation artificial network network(BP-ANN)was introduced to classify and identify the three soils with an accuracy of 92.593%.The experiment proves that the application of LIBS in soil detection is feasible.(3)Study on the effect of soil heavy metal pollution on plants based on LIBS.In this part,taking garlic seedling as an example,LIBS technology was applied to the detection of heavy metal element Pb in soil and plants.In the experiment,Pb containing solution was dropped into the soil to simulate the heavy metal pollution of the soil in the actual growing environment.The distribution of Pb in plant and the effect of Pb on mineral elements in plant tissue were investigated.In this paper,an online laser detection system for soil and plants was developed based on LIBS technology.It was successfully applied to the detection of Rosaceae,the classification of soil,and the effect of soil heavy metal pollution on the distribution of elements in garlic tissue.The development and application of this system provides theoretical basis and technical support for the on-line detection of plants and soil.In addition,it also provides new ideas and methods for studying the effects of soil heavy metal pollution on plant tissue elements.