Non-Invasive Detection Technology Of Soluble Sugar Content In Fruit Using RFID

The rapid development of Io T technology has paved the way for intelligent agriculture.The level of soluble sugar content in fruit tissue is highly correlated with fruit maturity,fruit quality and storability.The energy and intermediate substances required for all life activities after fruit picking are mainly derived from the oxidative decomposition process of sugar substances in the fruit tissue.Therefore,the determination of soluble sugar content is of great importance in fruit quality evaluation and storage preservation.For one thing,consumers are unable to obtain the exact sugar content when purchasing and often buy poor quality fruit or are cheated,and for another,it is also significant for the storage of fruit.However,existing methods for measuring the soluble sugar content of fruit either rely on specialised,expensive equipment or require invasive testing,which can be extremely inconvenient for consumers to use.Therefore,the low-cost,non-invasive estimation of sugar content fruit remains an urgent problem to be solved.The main work and research of this paper is as follows:Firstly,a theoretical model construction for dual-label detection and a label discrepancy elimination method are designed to detect the signal using the change of phase within the object and the attenuation of RSSI.Furthermore,even two identical tags can lead to different data under the same conditions due to modern manufacturing processes,referred to as tag discrepancy in this paper.This paper is designed to eliminate data errors due to tag discrepancies by using a third tag.And the performance of the two-label model is verified through preliminary experiments,and the effectiveness and correctness of the label discrepancy elimination method is verified through experiments.Secondly,a dual-tag-based fruit soluble sugar content detection method is designed to extract the fruit eigenvalues through the dual-tag detection model and establish a linear mapping relationship between the eigenvalues and the real value of fruit soluble sugar content through polynomial fitting.Finally,a fruit soluble sugar content prediction system was implemented using a commercial RFID device and its performance was evaluated and verified through extensive experiments under different conditions.The experimental results show that the overall average accuracy of the fruit soluble sugar content detection method reaches89.56% and is robust to different environments.